Jul 09 2025

Why Tokenization is the Key to Stronger Data Security

Category: data security,Information Security,pci dssdisc7 @ 10:01 am

  1. In today’s landscape, cyber threats are no longer a question of “if” but “when.” The financial and reputational costs of data breaches can be devastating. Traditionally, encryption has served as the frontline defense—locking data away. But tokenization offers a different—and arguably superior—approach: remove sensitive data entirely, and hackers end up breaking into an empty vault
  2. Tokenization works much like casino chips. Instead of walking around with cash, players use chips that only hold value within the casino. If stolen, these chips are useless outside the establishment. Similarly, sensitive information (like credit card numbers) is stored in a highly secure “token vault.” The system returns a non-sensitive, randomized token to your application—a placeholder with zero intrinsic value
  3. Once your systems are operating solely with tokens, real data never touches them. This minimizes the risk: even if your servers are compromised, attackers only obtain meaningless tokens. The sensitive data remains locked away, accessible only through secure channels to the token vault
  4. Tokenization significantly reduces your “risk profile.” Without sensitive data in your environment, the biggest asset that cybercriminals target disappears. This process, often referred to as “data de-scoping,” eliminates your core liability—if you don’t store sensitive data, you can’t lose it
  5. For businesses handling payment cards, tokenization simplifies compliance with PCI DSS. Most mandates apply only when real cardholder data enters your systems. By outsourcing tokenization to a certified provider, you dramatically shrink your audit scope and compliance burden, translating into cost and time savings
  6. Unlike many masking methods, tokenization preserves the utility of data. Tokens can mirror the format of the original data—such as 16-digit numbers preserving the last four digits. This allows you to perform analytics, generate reports, and support loyalty systems without ever exposing the actual data
  7. More than just an enhanced security layer, tokenization is a strategic data management tool. It fundamentally reduces the value of what resides in your systems, making them less enticing and more resilient. This dual benefit—heightened security and operational efficiency—forms the basis for a more robust and trustworthy enterprise


🔒 Key Benefits of Tokenization

  • Risk Reduction: Sensitive data is removed from core systems, minimizing exposure to breaches.
  • Simplified Compliance: Limits PCI DSS scope and lowers audit complexity and costs.
  • Operational Flexibility: Maintains usability of data for analytics and reporting.
  • Security by Design: Reduces attack surface—no valuable data means no incentive for theft.

🔄 Step-by-Step Example (Credit Card Payment)

Scenario: A customer enters their credit card number on an e-commerce site.

  1. Original Data Collected:
    Customer enters: 4111 1111 1111 1111.
  2. Tokenization Process Begins:
    The payment processor sends the card number to a tokenization service.
  3. Token Issued:
    The service generates a random token, like A94F-Z83D-J1K9-X72B, and stores the actual card number securely in its token vault.
  4. Token Returned:
    The merchant’s system only stores and uses the token (A94F-Z83D-J1K9-X72B)—not the real card number.
  5. Transaction Authorization:
    When needed (e.g. to process a refund), the merchant sends the token to the tokenization provider, which maps it back to the original card and processes the transaction securely.

Tokenization (data security) – Wikipedia

PCI DSS Version 4.0.1 – A Guide to the Payment Card Industry Data Security Standard

Secure Your Business. Simplify Compliance. Gain Peace of Mind

AIMS and Data Governance

InfoSec services | InfoSec books | Follow our blog | DISC llc is listed on The vCISO Directory | ISO 27k Chat bot | Comprehensive vCISO Services | ISMS Services | Security Risk Assessment Services | Mergers and Acquisition Security

Tags: Tokenization


Jul 08 2025

Stop Managing Risks—Start Enabling Better Decisions

Most risk assessments fail to support real decisions. Learn how to turn risk management into a strategic advantage, not just a compliance task.

1.
In many organizations, risk assessments are treated as checklist exercises—completed to meet compliance requirements, not to drive action. They often lack relevance to current business decisions and serve more as formalities than strategic tools.

2.
When no real decision is being considered, a risk assessment becomes little more than paperwork. It consumes time, effort, and even credibility without providing meaningful value to the business. In such cases, risk teams risk becoming disconnected from the core priorities of the organization.

3.
This disconnect is reflected in recent research. According to PwC’s 2023 Global Risk Survey, while 73% of executives agree that risk management is critical to strategic decisions, only 22% believe it is effectively influencing those decisions. Gartner’s 2023 survey also found that over half of organizations see risk functions as too siloed to support enterprise-wide decisions.

4.
Even more concerning is the finding from NC State’s ERM Initiative: over 60% of risk assessments are performed without a clear decision-making context. This means that most risk work happens in a vacuum, far removed from the actual choices business leaders are making.

5.
Risk management should not be a separate track from business—it should be a core driver of decision-making under uncertainty. Its value lies in making trade-offs explicit, identifying blind spots, and empowering leaders to act with clarity and confidence.

6.
Before launching into a new risk register update or a 100 plus page report, organizations should ask a sharper business related question: What business decision are we trying to support with this assessment? When risk is framed this way, it becomes a strategic advantage, not an overhead cost.

7.
By shifting focus from managing risks to enabling better decisions, risk management becomes a force multiplier for strategy, innovation, and resilience. It helps business leaders act not just with caution—but with confidence.


Conclusion
A well-executed risk assessment helps businesses prioritize what matters, allocate resources wisely, and protect value while pursuing growth. To be effective, risk assessments must be decision-driven, timely, and integrated into business conversations. Don’t treat them as routine reports—use them as decision tools that connect uncertainty to action.

Fundamentals of Risk Management: Understanding, Evaluating and Implementing Effective Enterprise Risk Management

Secure Your Business. Simplify Compliance. Gain Peace of Mind

InfoSec services | InfoSec books | Follow our blog | DISC llc is listed on The vCISO Directory | ISO 27k Chat bot | Comprehensive vCISO Services | ISMS Services | Security Risk Assessment Services | Mergers and Acquisition Security

Tags: Business Enabler, Enabling Better Decisions


Jul 08 2025

Securing AI Data Across Its Lifecycle: How Recent CSI Guidance Protects What Matters Most

Category: AI,ISO 42001disc7 @ 9:35 am

In the race to leverage artificial intelligence (AI), organizations are rushing to train, deploy, and scale AI systems—but often without fully addressing a critical piece of the puzzle: AI data security. The recent guidance from the Cybersecurity and Infrastructure Security Agency (CISA) and Cybersecurity Strategic Initiative (CSI) offers a timely blueprint for protecting AI-related data across its lifecycle.

Why AI Security Starts with Data

AI models are only as trustworthy as the data they are trained on. From sensitive customer information to proprietary business insights, the datasets feeding AI systems are now prime targets for attackers. That’s why the CSI emphasizes securing this data not just at rest or in transit, but throughout its entire lifecycle—from ingestion and training to inference and long-term storage.

A Lifecycle Approach to Risk

Traditional cybersecurity approaches aren’t enough. The AI lifecycle introduces new risks at every stage—like data poisoning during training or model inversion attacks during inference. To counter this, security leaders must adopt a holistic, lifecycle-based strategy that extends existing security controls into AI environments.

Know Your Data: Visibility and Classification

Effective AI security begins with understanding what data you have and where it lives. CSI guidance urges organizations to implement robust data discovery, labeling, and classification practices. Without this foundation, it’s nearly impossible to apply appropriate controls, meet regulatory requirements, or detect misuse.

Evolving Controls: IAM, Encryption, and Monitoring

It’s not just about locking data down. Security controls must evolve to fit AI workflows. This includes applying least privilege access, enforcing strong encryption, and continuously monitoring model behavior. CSI makes it clear: your developers and data scientists need tailored IAM policies, not generic access.

Model Integrity and Data Provenance

The source and quality of your data directly impact the trustworthiness of your AI. Tracking data provenance—knowing where it came from, how it was processed, and how it’s used—is essential for both compliance and model integrity. As new AI governance frameworks like ISO/IEC 42001 and NIST AI RMF gain traction, this capability will be indispensable.

Defending Against AI-Specific Threats

AI brings new risks that conventional tools don’t fully address. Model inversion, adversarial attacks, and data leakage are becoming common. CSI recommends implementing defenses like differential privacy, watermarking, and adversarial testing to reduce exposure—especially in sectors dealing with personal or regulated data.

Aligning Security and Strategy

Ultimately, protecting AI data is more than a technical issue—it’s a strategic one. CSI emphasizes the need for cross-functional collaboration between security, compliance, legal, and AI teams. By embedding security from day one, organizations can reduce risk, build trust, and unlock the true value of AI—safely.

Ready to Apply CSI Guidance to Your AI Roadmap?

Don’t leave your AI initiatives exposed to unnecessary risk. Whether you’re training models on sensitive data or deploying AI in regulated environments, now is the time to embed security across the lifecycle.

At Deura InfoSec, we help organizations translate CSI and CISA guidance into practical, actionable steps—from risk assessments and data classification to securing training pipelines and ensuring compliance with ISO 42001 and NIST AI RMF.

👉 Let’s secure what matters most—your data, your trust, and your AI advantage.

Book a free 30-minute consultation to assess where you stand and map out a path forward:
📅 Schedule a Call | 📩 info@deurainfosec.com

AWS Databases for AI/ML: Architecting Intelligent Data Workflows (AWS Cloud Mastery: Building and Securing Applications)


Trust Me – ISO 42001 AI Management System

ISO/IEC 42001:2023 – from establishing to maintain an AI management system

AI Act & ISO 42001 Gap Analysis Tool

Agentic AI: Navigating Risks and Security Challenges

Artificial Intelligence: The Next Battlefield in Cybersecurity

AI and The Future of Cybersecurity: Navigating the New Digital Battlefield

“Whether you’re a technology professional, policymaker, academic, or simply a curious reader, this book will arm you with the knowledge to navigate the complex intersection of AI, security, and society.”

AI Governance Is a Boardroom Imperative—The SEC Just Raised the Stakes on AI Hype

How AI Is Transforming the Cybersecurity Leadership Playbook

Previous AI posts

IBM’s model-routing approach

Top 5 AI-Powered Scams to Watch Out for in 2025

Summary of CISO 3.0: Leading AI Governance and Security in the Boardroom

AI in the Workplace: Replacing Tasks, Not People

Why CISOs Must Prioritize Data Provenance in AI Governance

Interpretation of Ethical AI Deployment under the EU AI Act

AI Governance: Applying AI Policy and Ethics through Principles and Assessments

ISO/IEC 42001:2023, First Edition: Information technology – Artificial intelligence – Management system

ISO 42001 Artificial Intelligence Management Systems (AIMS) Implementation Guide: AIMS Framework | AI Security Standards

Businesses leveraging AI should prepare now for a future of increasing regulation.

Digital Ethics in the Age of AI 

DISC InfoSec’s earlier posts on the AI topic

Secure Your Business. Simplify Compliance. Gain Peace of Mind

InfoSec services | InfoSec books | Follow our blog | DISC llc is listed on The vCISO Directory | ISO 27k Chat bot | Comprehensive vCISO Services | ISMS Services | Security Risk Assessment Services | Mergers and Acquisition Security

Tags: Securing AI Data


Jul 07 2025

Attack Surface Management (ASM) trends for 2025

  1. ASM Is Evolving Into Holistic, Proactive Defense
    Attack Surface Management has grown from merely tracking exposed vulnerabilities to encompassing all digital assets—cloud systems, IoT devices, internal apps, corporate premises, and supplier infrastructure. Modern ASM solutions don’t just catalog known risks; they continuously discover new assets and alert on changes in real time. This shift from reactive to proactive defense helps organizations anticipate threats before they materialize.
  2. AI, Machine Learning & Threat Intelligence Drive Detection
    AI/ML is now foundational in ASM tools, capable of scanning vast data sets to find misconfigurations, blind spots, and chained vulnerabilities faster than human operators could. Integrated threat-intel feeds then enrich these findings, enabling contextual prioritization—your team can focus on what top adversaries are actively attacking.
  3. Zero Trust & Continuous Monitoring Are Essential
    ASM increasingly integrates with Zero Trust principles, ensuring every device, user, or connection is verified before granting access. Combined with ongoing asset monitoring—both EASM (external) and CAASM (internal)—this provides a comprehensive visibility framework. Such alignment enables security teams to detect unexpected changes or suspicious behaviors in hybrid environments.
  4. Third-Party, IoT/OT & Shadow Assets in Focus
    Attack surfaces are no longer limited to corporate servers. IoT and OT devices, along with shadow IT and third-party vendor infrastructure, are prime targets. ASM platforms now emphasize uncovering default credentials, misconfigured firmware, and regularizing access across partner ecosystems. This expanded view helps mitigate supply-chain and vendor-based risks
  5. ASM Is a Continuous Service, Not a One-Time Scan
    Today’s ASM is about ongoing exposure assessment. Whether delivered in-house or via ASM-as-a-Service, the goal is to map, monitor, validate, and remediate 24/7. Context-rich alerts backed by human-friendly dashboards empower teams to tackle the most critical risks first. While tools offer automation, the human element remains vital—security teams need to connect ASM findings to business context

In short, ASM in 2025 is about persistent, intelligent, and context-aware attack surface management spanning internal environments, cloud, IoT, and third-party ecosystems. It blends AI-powered insights, Zero Trust philosophy, and continuous monitoring to detect vulnerabilities proactively and prioritize them based on real-world threat context.

Attack Surface Management: Strategies and Techniques for Safeguarding Your Digital Assets

You’ll learn:

  • Fundamental ASM concepts, including their role in cybersecurity
  • How to assess and map your organization’s attack surface, including digital assets and vulnerabilities
  • Strategies for identifying, classifying, and prioritizing critical assets
  • Attack surfaces types, including each one’s unique security challenges
  • How to align technical vulnerabilities with business risks
  • Principles of continuous monitoring and management to maintain a robust security posture
  • Techniques for automating asset discovery, tracking, and categorization
  • Remediation strategies for addressing vulnerabilities, including patching, monitoring, isolation, and containment
  • How to integrate ASM with incident response and continuously improve cybersecurity strategies

ASM is more than a strategy—it’s a defense mechanism against growing cyber threats. This guide will help you fortify your digital defense.

Secure Your Business. Simplify Compliance. Gain Peace of Mind

InfoSec services | InfoSec books | Follow our blog | DISC llc is listed on The vCISO Directory | ISO 27k Chat bot | Comprehensive vCISO Services | ISMS Services | Security Risk Assessment Services | Mergers and Acquisition Security

Tags: ASM, Attack Surface Management


Jul 07 2025

Fighting Fire with Fire: How to Counter Scattered Spider’s Next-Gen Ransomware Tactics

Category: Malware,Scattered Spiderdisc7 @ 10:02 am

The Scattered Spider attack marked a turning point in ransomware tactics. This wasn’t just a case of unauthorized access and lateral movement—it was a deliberate, aggressive operation where the attackers pushed back against defenders. Traditional incident response measures were met with real-time counteractions, with the adversaries reopening closed access points and actively interfering with business operations during their exit.

This attack wasn’t a warning about the future; it demonstrated that this evolved, combative approach is already here. Organizations must recognize that advanced threat actors are willing to engage in direct digital conflict, not just quietly exfiltrate data.

Among the key takeaways was how effective social engineering still is. In this case, the attackers impersonated a company CFO and successfully tricked the help desk into resetting MFA credentials. It underscored how traditional identity verification methods like voice recognition are no longer reliable.

Additionally, privileged executive accounts remain attractive targets. These accounts typically have expansive access but fewer technical restrictions, making them easy entry points for deep internal compromise. Meanwhile, poorly monitored cloud setups and virtual machines gave the attackers room to operate unseen, creating and moving through systems without endpoint detection.

Even after being detected, Scattered Spider didn’t simply retreat—they fought to maintain access, using admin-level privileges to resist eviction and extend their presence. This level of persistence signals a shift in the attacker mindset: disruption and sabotage are becoming as important as data theft.

To defend against this new breed of adversary, incident response teams must prioritize stronger identity controls, particularly around help desk functions. Executive accounts should undergo strict privilege audits, and virtual environments like VDI and ESXi must be treated as high-risk zones, monitored accordingly. Playbooks must also evolve to include strategies for dealing with hostile, entrenched attackers.

Ultimately, Scattered Spider taught us that modern threat actors aren’t just intruders—they’re saboteurs. They disrupt operations, adapt in real time, and observe our responses. Security is now a live-fire exercise, and organizations must regularly rehearse responses—not just write them down. You won’t rise to the occasion; you’ll fall to your level of preparation.

Scattered Spider

To counter an advanced adversary like Scattered Spider, you need a layered, adaptive defense strategy that blends identity security, cloud visibility, and aggressive incident response readiness. Here’s how to fight back effectively:


1. Fortify Identity Verification Processes

  • No MFA resets without strong multi-channel verification. Train your help desk to never accept identity claims at face value—use callback procedures, ID validation, or supervisor approvals.
  • Flag high-risk user changes. Automate alerts for any privilege escalations, MFA resets, or login anomalies tied to executives or IT admins.


2. Harden Executive & Admin Accounts

  • Enforce least privilege. Even C-level executives shouldn’t have standing domain-wide access. Use just-in-time access tools where possible.
  • Segment roles. Separate financial, operational, and IT privileges, so no one user holds keys to multiple kingdoms.


3. Monitor and Secure Cloud & Virtual Infrastructure

  • Audit your VDI, ESXi, and cloud assets. Look for over-permissioned accounts, open management ports, and missing endpoint agents.
  • Apply EDR/XDR visibility to all workloads. Treat virtual machines and cloud instances as part of your core infrastructure—no blind spots.


4. Build Playbooks for Adversaries Who Fight Back

  • Prepare for active resistance. Include steps for dealing with real-time counterattacks and sabotage (e.g., destroying logs, disabling EDR).
  • Use tiered containment strategies. Don’t just isolate endpoints—be ready to revoke tokens, rotate secrets, and block cloud provisioning.


5. Train for Real-World Scenarios

  • Run purple team and red team exercises. Simulate Scattered Spider-style campaigns—long dwell time, social engineering, and persistent access.
  • Include IT and help desk in rehearsals. They’re often the first point of compromise, and they need to know how to recognize and escalate social engineering attempts.


6. Enhance Detection & Logging

  • Track privilege abuse and identity shifts. Use UEBA (User and Entity Behavior Analytics) to catch lateral movement and unusual behaviors.
  • Protect logs and backups. Isolate critical logs and ensure backups are immutable and off-network, to withstand data destruction efforts.


7. Strengthen Internal Communications & Trust

  • Educate employees on tactics like impersonation. Especially finance, IT, and exec assistants.
  • Verify urgency with caution. Make it culture to pause and verify, even under pressure—Scattered Spider relies on urgency to bypass defenses.

The Ransom Republic: How Cybercriminals Hijacked the World One File at a Time

Secure Your Business. Simplify Compliance. Gain Peace of Mind

InfoSec services | InfoSec books | Follow our blog | DISC llc is listed on The vCISO Directory | ISO 27k Chat bot | Comprehensive vCISO Services | ISMS Services | Security Risk Assessment Services | Mergers and Acquisition Security

Tags: Scattered Spider


Jul 06 2025

Turn Compliance into Competitive Advantage with ISO 42001

Category: AI,Information Security,ISO 42001disc7 @ 10:49 pm

In today’s fast-evolving AI landscape, rapid innovation is accompanied by serious challenges. Organizations must grapple with ethical dilemmas, data privacy issues, and uncertain regulatory environments—all while striving to stay competitive. These complexities make it critical to approach AI development and deployment with both caution and strategy.

Despite the hurdles, AI continues to unlock major advantages. From streamlining operations to improving decision-making and generating new roles across industries, the potential is undeniable. However, realizing these benefits demands responsible and transparent management of AI technologies.

That’s where ISO/IEC 42001:2023 comes into play. This global standard introduces a structured framework for implementing Artificial Intelligence Management Systems (AIMS). It empowers organizations to approach AI development with accountability, safety, and compliance at the core.

Deura InfoSec LLC (deurainfosec.com) specializes in helping businesses align with the ISO 42001 standard. Our consulting services are designed to help organizations assess AI risks, implement strong governance structures, and comply with evolving legal and ethical requirements.

We support clients in building AI systems that are not only technically sound but also trustworthy and socially responsible. Through our tailored approach, we help you realize AI’s full potential—while minimizing its risks.

If your organization is looking to adopt AI in a secure, ethical, and future-ready way, ISO Consulting LLC is your partner. Visit Deura InfoSec to discover how our ISO 42001 consulting services can guide your AI journey.

We guide company through ISO/IEC 42001 implementation, helping them design a tailored AI Management System (AIMS) aligned with both regulatory expectations and ethical standards. Our team conduct a comprehensive risk assessment, implemented governance controls, and built processes for ongoing monitoring and accountability.

👉 Visit Deura Infosec to start your AI compliance journey.

ISO 42001—the first international standard for managing artificial intelligence. Developed for organizations that design, deploy, or oversee AI, ISO 42001 is set to become the ISO 9001 of AI: a universal framework for trustworthytransparent, and responsible AI.


Trust Me – ISO 42001 AI Management System

ISO/IEC 42001:2023 – from establishing to maintain an AI management system

AI Act & ISO 42001 Gap Analysis Tool

Agentic AI: Navigating Risks and Security Challenges

Artificial Intelligence: The Next Battlefield in Cybersecurity

AI and The Future of Cybersecurity: Navigating the New Digital Battlefield

“Whether you’re a technology professional, policymaker, academic, or simply a curious reader, this book will arm you with the knowledge to navigate the complex intersection of AI, security, and society.”

AI Governance Is a Boardroom Imperative—The SEC Just Raised the Stakes on AI Hype

How AI Is Transforming the Cybersecurity Leadership Playbook

Previous AI posts

IBM’s model-routing approach

Top 5 AI-Powered Scams to Watch Out for in 2025

Summary of CISO 3.0: Leading AI Governance and Security in the Boardroom

AI in the Workplace: Replacing Tasks, Not People

Why CISOs Must Prioritize Data Provenance in AI Governance

Interpretation of Ethical AI Deployment under the EU AI Act

AI Governance: Applying AI Policy and Ethics through Principles and Assessments

ISO/IEC 42001:2023, First Edition: Information technology – Artificial intelligence – Management system

ISO 42001 Artificial Intelligence Management Systems (AIMS) Implementation Guide: AIMS Framework | AI Security Standards

Businesses leveraging AI should prepare now for a future of increasing regulation.

Digital Ethics in the Age of AI 

DISC InfoSec’s earlier posts on the AI topic

Secure Your Business. Simplify Compliance. Gain Peace of Mind

InfoSec services | InfoSec books | Follow our blog | DISC llc is listed on The vCISO Directory | ISO 27k Chat bot | Comprehensive vCISO Services | ISMS Services | Security Risk Assessment Services | Mergers and Acquisition Security

Tags: AIMS, ISO 42001


Jul 03 2025

Secure Your Business. Simplify Compliance. Gain Peace of Mind

At Deura InfoSec, we help small to mid-sized businesses navigate the complex world of cybersecurity and compliance—without the confusion, cost, or delays of traditional approaches. Whether you’re facing a looming audit, need to meet ISO 27001, NIST, HIPAA, or other regulatory standards, or just want to know where your risks are—we’ve got you covered.

We offer fixed-price compliance assessments, vCISO services, and easy-to-understand risk scorecards so you know exactly where you stand and what to fix—fast. No bloated reports. No endless consulting hours. Just actionable insights that move you forward.

Our proven SGRC frameworks, automated tools, and real-world expertise help you stay audit-ready, reduce business risk, and build trust with customers.

📌 ISO 27001 | ISO 42001 | SOC 2 | HIPAA | NIST | Privacy | TPRM | M&A
📌 Risk & Gap Assessments | vCISO | Internal Audit
📌 Security Roadmaps | AI & InfoSec Governance | Awareness Training

Start with our Compliance Self-Assessment and discover how secure—and compliant—you really are.

👉 DeuraInfoSec.comLet’s make security simple.

If you’re dealing with audits, scaling security, or just want to know how exposed your business is—we’re the no-BS partner you’ve been looking for.

✅ Big 4 experience + hands-on delivery
✅ Cyber data governance tailored to small/mid-sized orgs
✅ Practical, business-first approach to InfoSec

Next Steps: Let us prepare a customized scorecard or walk you through a free 15-minute discovery call.

Contact: info@discinfosec.com | www.discinfosec.com

Vineyard and Wineries may be at Risk

InfoSec services | InfoSec books | Follow our blog | DISC llc is listed on The vCISO Directory | ISO 27k Chat bot | Comprehensive vCISO Services | ISMS Services | Security Risk Assessment Services | Mergers and Acquisition Security

Tags: Deura InfoSec, DISC InfoSec, Secure Your Business


Jul 03 2025

Most Organizations Unprepared for AI-Powered Cyberattacks: Accenture Warns of Urgent Need for Proactive Security

Category: AI,Cyber Attackdisc7 @ 9:32 am

“90% aren’t ready for AI attacks, are you?”, with remediation guidance at the end:


1. Organizations are lagging in AI‑era security
A recent Accenture report warns that while AI is rapidly reshaping business operations, around 90% of organizations remain unprepared for AI‑driven cyberattacks. Alarmingly, 63% fall into what Accenture labels the “Exposed Zone”—lacking both a defined cybersecurity strategy and critical technical safeguards.


2. Threat landscape outpacing defenses
AI has increased the speed, scope, and sophistication of cyber threats far beyond what current defenses can manage. Approximately 77% of companies do not practice essential data and AI security hygiene, leaving their business models, data architectures, and cloud environments dangerously exposed.


3. Cybersecurity must be integrated into AI initiatives
Paolo Dal Cin of Accenture underscores that cybersecurity can no longer be an afterthought. Growing geopolitical instability and AI‑augmented attacks demand that security be designed into AI projects from the very beginning to maintain competitiveness and customer trust.


4. AI systems need governance and protection
Daniel Kendzior, Accenture’s global Data & AI Security lead, stresses the importance of formalizing security policies and maintaining real‑time oversight of AI systems. This includes ensuring secure AI development, deployment, and operational readiness to stay ahead of evolving threats.


5. Cyber readiness varies sharply across regions
The report reveals stark geographic differences in cybersecurity maturity. Only 14% of North American and 11% of European organizations are deemed “Reinvention Ready,” while in Latin America and the Asia‑Pacific region, over 70% remain in the “Exposed Zone,” highlighting major readiness disparities.


6. Reinvention‑Ready firms lead in resilience and trust
The top 10% of organizations—the “Reinvention Ready” group—are demonstrably more effective at defending against advanced attacks. They block threats nearly 70% more successfully, cut technical debt, improve visibility, and enhance customer trust, illustrating that maturity aligns with tangible business benefits.

Help Net Security article “90% aren’t ready for AI attacks, are you?”


🔧 Remediation Recommendations

To bridge the gap, organizations should:

  1. Build AI‑centric security governance
    • Implement accountability structures and frameworks tuned to AI risks, ensuring compliance and alignment with business goals.
  2. Incorporate security into AI design
    • Embed protections into every stage of AI system development, from data handling to model deployment and infrastructure configuration.
  3. Secure and monitor AI systems continuously
    • Regularly test AI pipelines, enforce encryption and access controls, and proactively update threat detection capabilities.
  4. Leverage AI defensively
    • Use AI to streamline security workflows—automating threat hunting, anomaly detection, and rapid response.
  5. Conduct maturity assessments by region and function
    • Benchmark cybersecurity posture across different regions and business units to identify and address vulnerabilities.
  6. Commit to education and culture change
    • Train staff on AI‑related risks and security best practices, and shift the organizational mindset to view cybersecurity as foundational rather than optional.

By adopting these measures, companies can climb into the “Reinvention Ready Zone,” significantly reducing their risk exposure and reinforcing trust in their AI‑enabled operations.

Combating Cyberattacks Targeting the AI Ecosystem: Assessing Threats, Risks, and Vulnerabilities

The Rise of AI-Driven Cyberattacks: How Companies Can Defend

ISO/IEC 42001:2023 – from establishing to maintain an AI management system

AI Act & ISO 42001 Gap Analysis Tool

Agentic AI: Navigating Risks and Security Challenges

Artificial Intelligence: The Next Battlefield in Cybersecurity

AI and The Future of Cybersecurity: Navigating the New Digital Battlefield

“Whether you’re a technology professional, policymaker, academic, or simply a curious reader, this book will arm you with the knowledge to navigate the complex intersection of AI, security, and society.”

AI Governance Is a Boardroom Imperative—The SEC Just Raised the Stakes on AI Hype

How AI Is Transforming the Cybersecurity Leadership Playbook

Previous AI posts

IBM’s model-routing approach

Top 5 AI-Powered Scams to Watch Out for in 2025

Summary of CISO 3.0: Leading AI Governance and Security in the Boardroom

AI in the Workplace: Replacing Tasks, Not People

Why CISOs Must Prioritize Data Provenance in AI Governance

Interpretation of Ethical AI Deployment under the EU AI Act

AI Governance: Applying AI Policy and Ethics through Principles and Assessments

ISO/IEC 42001:2023, First Edition: Information technology – Artificial intelligence – Management system

ISO 42001 Artificial Intelligence Management Systems (AIMS) Implementation Guide: AIMS Framework | AI Security Standards

Businesses leveraging AI should prepare now for a future of increasing regulation.

Digital Ethics in the Age of AI 

DISC InfoSec’s earlier posts on the AI topic

InfoSec services | InfoSec books | Follow our blog | DISC llc is listed on The vCISO Directory | ISO 27k Chat bot | Comprehensive vCISO Services | ISMS Services | Security Risk Assessment Services | Mergers and Acquisition Security

Tags: AI-Powered Cyberattacks, Proactive Security


Jul 02 2025

 ISO/IEC 42001:2023 – from establishing to maintain an AI management system

Category: AIdisc7 @ 12:06 pm

AI businesses are at risk due to growing cyber threats, regulatory pressure, and ethical concerns. They often process vast amounts of sensitive data, making them prime targets for breaches and data misuse. Malicious actors can exploit AI systems through model manipulation, adversarial inputs, or unauthorized access. Additionally, lack of standardized governance and compliance frameworks exposes them to legal and reputational damage. As AI adoption accelerates, so do the risks.

AI businesses are at risk because they often handle large volumes of sensitive data, rely on complex algorithms that may be vulnerable to manipulation, and operate in a rapidly evolving regulatory landscape. Threats include data breaches, model poisoning, IP theft, bias in decision-making, and misuse of AI tools by attackers. Additionally, unclear accountability and lack of standardized AI security practices increase their exposure to legal, reputational, and operational risks.

Why it matters

It matters because the integrity, security, and trustworthiness of AI systems directly impact business reputation, customer trust, and regulatory compliance. A breach or misuse of AI can lead to financial loss, legal penalties, and harm to users. As AI becomes more embedded in critical decision-making—like healthcare, finance, and security—the risks grow more severe. Ensuring responsible and secure AI isn’t just good practice—it’s essential for long-term success and societal trust.

To reduce risks in AI businesses, we can:

  1. Implement strong governance with AIMS – Define clear accountability, policies, and oversight for AI development and use.
  2. Secure data and models – Encrypt sensitive data, restrict access, and monitor for tampering or misuse.
  3. Conduct risk assessments – Regularly evaluate threats, vulnerabilities, and compliance gaps in AI systems.
  4. Ensure transparency and fairness – Use explainable AI and audit algorithms for bias or unintended consequences.
  5. Stay compliant – Align with evolving regulations like GDPR, NIST AI RMF, or the EU AI Act.
  6. Train teams – Educate employees on AI ethics, security best practices, and safe use of generative tools.

Proactive risk management builds trust, protects assets, and positions AI businesses for sustainable growth.

 ISO/IEC 42001:2023 – from establishing to maintain an AI management system (AIMS)

BSI ISO 31000 is standard for any organization seeking risk management guidance

ISO/IEC 27001 and ISO/IEC 42001, both standards address risk and management systems, but with different focuses. ISO/IEC 27001 is centered on information security—protecting data confidentiality, integrity, and availability—while ISO/IEC 42001 is the first standard designed specifically for managing artificial intelligence systems responsibly. ISO/IEC 42001 includes considerations like AI-specific risks, ethical concerns, transparency, and human oversight, which are not fully addressed in ISO 27001. Organizations working with AI should not rely solely on traditional information security controls.

While ISO/IEC 27001 remains critical for securing data, ISO/IEC 42001 complements it by addressing broader governance and accountability issues unique to AI. The article suggests that companies developing or deploying AI should integrate both standards to build trust and meet growing stakeholder and regulatory expectations. Applying ISO 42001 can help demonstrate responsible AI practices, ensure explainability, and mitigate unintended consequences, positioning organizations to lead in a more regulated AI landscape.

AI Act & ISO 42001 Gap Analysis Tool

Agentic AI: Navigating Risks and Security Challenges

Artificial Intelligence: The Next Battlefield in Cybersecurity

AI and The Future of Cybersecurity: Navigating the New Digital Battlefield

“Whether you’re a technology professional, policymaker, academic, or simply a curious reader, this book will arm you with the knowledge to navigate the complex intersection of AI, security, and society.”

AI Governance Is a Boardroom Imperative—The SEC Just Raised the Stakes on AI Hype

How AI Is Transforming the Cybersecurity Leadership Playbook

Previous AI posts

IBM’s model-routing approach

Top 5 AI-Powered Scams to Watch Out for in 2025

Summary of CISO 3.0: Leading AI Governance and Security in the Boardroom

AI in the Workplace: Replacing Tasks, Not People

Why CISOs Must Prioritize Data Provenance in AI Governance

Interpretation of Ethical AI Deployment under the EU AI Act

AI Governance: Applying AI Policy and Ethics through Principles and Assessments

ISO/IEC 42001:2023, First Edition: Information technology – Artificial intelligence – Management system

ISO 42001 Artificial Intelligence Management Systems (AIMS) Implementation Guide: AIMS Framework | AI Security Standards

Businesses leveraging AI should prepare now for a future of increasing regulation.

Digital Ethics in the Age of AI 

DISC InfoSec’s earlier posts on the AI topic

InfoSec services | InfoSec books | Follow our blog | DISC llc is listed on The vCISO Directory | ISO 27k Chat bot | Comprehensive vCISO Services | ISMS Services | Security Risk Assessment Services | Mergers and Acquisition Security

Tags: AIMS, ISO 42001, ISO/IEC 42001


Jul 02 2025

Emerging AI Security and Privacy Challenges and Risks

Several posts published recently discuss AI security and privacy, highlighting different perspectives and concerns. Here’s a summary of the most prominent themes and posts:

Emerging Concerns and Risks:

  • Growing Anxiety around AI Data Privacy: A recent survey found that a significant majority of Americans (91%) are concerned about social media platforms using their data to train AI models, with 69% aware of this practice.
  • AI-Powered Cyber Threats on the Rise: AI is increasingly being used to generate sophisticated phishing attacks and malware, making it harder to distinguish between legitimate and malicious content.
  • Gap between AI Adoption and Security Measures: Many organizations are quickly adopting AI but lag in implementing necessary security controls, creating a major vulnerability for data leaks and compliance issues.
  • Deepfakes and Impersonation Scams: The use of AI in creating realistic deepfakes is fueling a surge in impersonation scams, increasing privacy risks.
  • Opaque AI Models and Bias: The “black box” nature of some AI models makes it difficult to understand how they make decisions, raising concerns about potential bias and discrimination. 

Regulatory Developments:

  • Increasing Regulatory Scrutiny: Governments worldwide are focusing on regulating AI, with the EU AI Act setting a risk-based framework and China implementing comprehensive regulations for generative AI.
  • Focus on Data Privacy and User Consent: New regulations emphasize data minimization, purpose limitation, explicit user consent for data collection and processing, and requirements for data deletion upon request. 

Best Practices and Mitigation Strategies:

  • Robust Data Governance: Organizations must establish clear data governance frameworks, including data inventories, provenance tracking, and access controls.
  • Privacy by Design: Integrating privacy considerations from the initial stages of AI system development is crucial.
  • Utilizing Privacy-Preserving Techniques: Employing techniques like differential privacy, federated learning, and synthetic data generation can enhance data protection.
  • Continuous Monitoring and Threat Detection: Implementing tools for continuous monitoring, anomaly detection, and security audits helps identify and address potential threats.
  • Employee Training: Educating employees about AI-specific privacy risks and best practices is essential for building a security-conscious culture. 

Specific Mentions:

  • NSA’s CSI Guidance: The National Security Agency (NSA) released joint guidance on AI data security, outlining best practices for organizations.
  • Stanford’s 2025 AI Index Report: This report highlighted a significant increase in AI-related privacy and security incidents, emphasizing the need for stronger governance frameworks.
  • DeepSeek AI App Risks: Experts raised concerns about the DeepSeek AI app, citing potential security and privacy vulnerabilities. 

Based on current trends and recent articles, it’s evident that AI security and privacy are top-of-mind concerns for individuals, organizations, and governments alike. The focus is on implementing strong data governance, adopting privacy-preserving techniques, and adapting to evolving regulatory landscapes. 

The rapid rise of AI has introduced new cyber threats, as bad actors increasingly exploit AI tools to enhance phishing, social engineering, and malware attacks. Generative AI makes it easier to craft convincing deepfakes, automate hacking tasks, and create realistic fake identities at scale. At the same time, the use of AI in security tools also raises concerns about overreliance and potential vulnerabilities in AI models themselves. As AI capabilities grow, so does the urgency for organizations to strengthen AI governance, improve employee awareness, and adapt cybersecurity strategies to meet these evolving risks.

There is a lack of comprehensive federal security and privacy regulations in the U.S., but violations of international standards often lead to substantial penalties abroad for U.S. organizations. Penalties imposed abroad effectively become a cost of doing business for U.S. organizations.

Meta has faced dozens of fines and settlements across multiple jurisdictions, with at least a dozen significant penalties totaling tens of billions of dollars/euros cumulatively.

Artificial intelligence (AI) and large language models (LLMs) emerging as the top concern for security leaders. For the first time, AI, including tools such as LLMs, has overtaken ransomware as the most pressing issue.

AI-Driven Security: Enhancing Large Language Models and Cybersecurity: Large Language Models (LLMs) Security

AI Security Essentials: Strategies for Securing Artificial Intelligence Systems with the NIST AI Risk Management Framework (Artificial Intelligence (AI) Security)

ISO 42001 Readiness: A 10-Step Guide to Responsible AI Governance

AI Act & ISO 42001 Gap Analysis Tool

Agentic AI: Navigating Risks and Security Challenges

Artificial Intelligence: The Next Battlefield in Cybersecurity

AI and The Future of Cybersecurity: Navigating the New Digital Battlefield

“Whether you’re a technology professional, policymaker, academic, or simply a curious reader, this book will arm you with the knowledge to navigate the complex intersection of AI, security, and society.”

AI Governance Is a Boardroom Imperative—The SEC Just Raised the Stakes on AI Hype

How AI Is Transforming the Cybersecurity Leadership Playbook

Previous AI posts

IBM’s model-routing approach

Top 5 AI-Powered Scams to Watch Out for in 2025

Summary of CISO 3.0: Leading AI Governance and Security in the Boardroom

AI in the Workplace: Replacing Tasks, Not People

Why CISOs Must Prioritize Data Provenance in AI Governance

Interpretation of Ethical AI Deployment under the EU AI Act

AI Governance: Applying AI Policy and Ethics through Principles and Assessments

ISO/IEC 42001:2023, First Edition: Information technology – Artificial intelligence – Management system

ISO 42001 Artificial Intelligence Management Systems (AIMS) Implementation Guide: AIMS Framework | AI Security Standards

Businesses leveraging AI should prepare now for a future of increasing regulation.

Digital Ethics in the Age of AI 

DISC InfoSec’s earlier posts on the AI topic

InfoSec services | InfoSec books | Follow our blog | DISC llc is listed on The vCISO Directory | ISO 27k Chat bot | Comprehensive vCISO Services | ISMS Services | Security Risk Assessment Services | Mergers and Acquisition Security

Tags: AI privacy, AI Security Essentials, AI Security Risks, AI-Driven Security


Jul 01 2025

The NIST Gap Assessment Tool will cost-effectively assess your organization against the NIST SP 800-171 standard

Category: Information Security,NIST CSF,Security Toolsdisc7 @ 1:49 pm

The NIST Gap Assessment Tool is a structured resource—typically a checklist, questionnaire, or software tool—used to evaluate an organization’s current cybersecurity or risk management posture against a specific NIST framework. The goal is to identify gaps between existing practices and the standards outlined by NIST, so organizations can plan and prioritize improvements.

The NIST SP 800-171 standard is primarily used by non-federal organizations—especially contractors and subcontractors—that handle Controlled Unclassified Information (CUI) on behalf of the U.S. federal government.

Specifically, it’s used by:

  1. Defense Contractors – working with the Department of Defense (DoD).
  2. Contractors/Subcontractors – serving other civilian federal agencies (e.g., DOE, DHS, GSA).
  3. Universities & Research Institutions – receiving federal research grants and handling CUI.
  4. IT Service Providers – managing federal data in cloud, software, or managed service environments.
  5. Manufacturers & Suppliers – in the Defense Industrial Base (DIB) who process CUI in any digital or physical format.

Why it matters:

Compliance with NIST 800-171 is required under DFARS 252.204-7012 for DoD contractors and is becoming a baseline for other federal supply chains. Organizations must implement the 110 security controls outlined in NIST 800-171 to protect the confidentiality of CUI.

NIST 800-171 Compliance Checklist

1. Access Control (AC)

  • Limit system access to authorized users.
  • Separate duties of users to reduce risk.
  • Control remote and internal access to CUI.
  • Manage session timeout and lock settings.

2. Awareness & Training (AT)

  • Train users on security risks and responsibilities.
  • Provide CUI handling training.
  • Update training regularly.

3. Audit & Accountability (AU)

  • Generate audit logs for events.
  • Protect audit logs from modification.
  • Review and analyze logs regularly.

4. Configuration Management (CM)

  • Establish baseline configurations.
  • Control changes to systems.
  • Implement least functionality principle.

5. Identification & Authentication (IA)

  • Use unique IDs for users.
  • Enforce strong password policies.
  • Implement multifactor authentication.

6. Incident Response (IR)

  • Establish an incident response plan.
  • Detect, report, and track incidents.
  • Conduct incident response training and testing.

7. Maintenance (MA)

  • Perform system maintenance securely.
  • Control and monitor maintenance tools and activities.

8. Media Protection (MP)

  • Protect and label CUI on media.
  • Sanitize or destroy media before disposal.
  • Restrict media access and transfer.

9. Physical Protection (PE)

  • Limit physical access to systems and facilities.
  • Escort visitors and monitor physical areas.
  • Protect physical entry points.

10. Personnel Security (PS)

  • Screen individuals prior to system access.
  • Ensure CUI access is revoked upon termination.

11. Risk Assessment (RA)

  • Conduct regular risk assessments.
  • Identify and evaluate vulnerabilities.
  • Document risk mitigation strategies.

12. Security Assessment (CA)

  • Develop and maintain security plans.
  • Conduct periodic security assessments.
  • Monitor and remediate control effectiveness.

13. System & Communications Protection (SC)

  • Protect CUI during transmission.
  • Separate system components handling CUI.
  • Implement boundary protections (e.g., firewalls).

14. System & Information Integrity (SI)

  • Monitor systems for malicious code.
  • Apply security patches promptly.
  • Report and correct flaws quickly.

The NIST Gap Assessment Toolkit will cost-effectively assess your organization against the NIST SP 800-171 standard. It will help you to:

  • Understand the NIST SP 800-171 requirements for storing, processing, and transmitting CUI (Controlled Unclassified Information)
  • Quickly identify your NIST SP 800-171 compliance gaps
  • Plan and prioritise your NIST SP 800-171 project to ensure data handling meets U.S. DoD (Department of Defense) requirements

NIST 800-171: System Security Plan (SSP) Template & Workbook

InfoSec services | InfoSec books | Follow our blog | DISC llc is listed on The vCISO Directory | ISO 27k Chat bot | Comprehensive vCISO Services | ISMS Services | Security Risk Assessment Services | Mergers and Acquisition Security

Tags: NIST Gap Assessment Tool, NIST SP 800-171


Jul 01 2025

ISO 42001 Readiness: A 10-Step Guide to Responsible AI Governance

Category: AI,ISO 27k,ISO 42001disc7 @ 10:51 am

The ISO 42001 readiness checklist structured into ten key sections, followed by my feedback at the end:


1. Context & Scope
Identify internal and external factors affecting AI use, clarify stakeholder requirements, and define the scope of your AI Management System (AIMS)

2. Leadership & Governance
Secure executive sponsorship, assign AIMS responsibilities, establish an ethics‐driven AI policy, and communicate roles and accountability clearly

3. Planning
Perform a gap analysis to benchmark current state, conduct a risk and opportunity assessment, set measurable AI objectives, and integrate risk practices throughout the AI lifecycle.

4. Support & Resources
Dedicate resources for AIMS, create training around AI ethics, safety, and governance, raise awareness, establish communication protocols, and maintain documentation.

5. Operational Controls
Outline stages of the AI lifecycle (design to monitoring), conduct risk assessments (bias, safety, legal), ensure transparency and explainability, maintain data quality and privacy, and implement incident response.

6. Change Management
Implement structured change control—assessing proposed AI modifications, conducting ethical and feasibility reviews, cross‐functional governance, staged rollouts, and post‐implementation audits.

7. Performance Evaluation
Monitor AIMS effectiveness using KPIs, conduct internal audits, and hold management reviews to validate performance and compliance.

8. Nonconformity & Corrective Action
Identify and document nonconformities, implement corrective measures, review their efficacy, and update the AIMS accordingly.

9. Certification Preparation
Collect evidence for internal audits, address gaps, assemble required documentation (including SoA), choose an accredited certification body, and finalize pre‐audit preparations .

10. External Audit & Continuous Improvement
Engage auditors, facilitate assessments, resolve audit findings, publicly share certification results, and embed continuous improvement in AIMS operations.


📝 Feedback

  • Comprehensive but heavy: The checklist covers every facet of AI governance—from initial scoping and leadership engagement to external audits and continuous improvement.
  • Aligns well with ISO 27001: Many controls are familiar to ISMS practitioners, making ISO 42001 a viable extension.
  • Resource-intensive: Expect demands on personnel, training, documentation, and executive involvement.
  • Change management focus is smart: The dedication to handling AI updates (design, rollout, monitoring) is a notable strength.
  • Documentation is key: Templates like Statement of Applicability and impact assessment forms (e.g., AISIA) significantly streamline preparation.
  • Recommendation: Prioritize gap analysis early, leverage existing ISMS frameworks, and allocate clear roles—this positions you well for a smooth transition to certification readiness.

Overall, ISO 42001 readiness is achievable by taking a methodical, risk-based, and well-resourced approach. Let me know if you’d like templates or help mapping this to your current ISMS.

AI Act & ISO 42001 Gap Analysis Tool

Agentic AI: Navigating Risks and Security Challenges

Artificial Intelligence: The Next Battlefield in Cybersecurity

AI and The Future of Cybersecurity: Navigating the New Digital Battlefield

“Whether you’re a technology professional, policymaker, academic, or simply a curious reader, this book will arm you with the knowledge to navigate the complex intersection of AI, security, and society.”

AI Governance Is a Boardroom Imperative—The SEC Just Raised the Stakes on AI Hype

How AI Is Transforming the Cybersecurity Leadership Playbook

Previous AI posts

IBM’s model-routing approach

Top 5 AI-Powered Scams to Watch Out for in 2025

Summary of CISO 3.0: Leading AI Governance and Security in the Boardroom

AI in the Workplace: Replacing Tasks, Not People

Why CISOs Must Prioritize Data Provenance in AI Governance

Interpretation of Ethical AI Deployment under the EU AI Act

AI Governance: Applying AI Policy and Ethics through Principles and Assessments

ISO/IEC 42001:2023, First Edition: Information technology – Artificial intelligence – Management system

ISO 42001 Artificial Intelligence Management Systems (AIMS) Implementation Guide: AIMS Framework | AI Security Standards

Businesses leveraging AI should prepare now for a future of increasing regulation.

Digital Ethics in the Age of AI 

DISC InfoSec’s earlier posts on the AI topic

InfoSec services | InfoSec books | Follow our blog | DISC llc is listed on The vCISO Directory | ISO 27k Chat bot | Comprehensive vCISO Services | ISMS Services | Security Risk Assessment Services | Mergers and Acquisition Security

Tags: ISO 42001 Readiness


Jun 30 2025

Why AI agents could be the next insider threat

Category: AI,Risk Assessment,Security Risk Assessmentdisc7 @ 5:11 pm

1. Invisible, Over‑Privileged Agents
Help Net Security highlights how AI agents—autonomous software acting on behalf of users—are increasingly embedded in enterprise systems without proper oversight. They often receive excessive permissions, operate unnoticed, and remain outside traditional identity governance controls

2. Critical Risks in Healthcare
Arun Shrestha from BeyondID emphasizes the healthcare sector’s vulnerability. AI agents there handle Protected Health Information (PHI) and system access, increasing risks to patient privacy, safety, and regulatory compliance (e.g., HIPAA)

3. Identity Blind Spots
Research shows many firms lack clarity about which AI agents have access to critical systems. AI agents can impersonate users or take unauthorized actions—yet these “non‑human identities” are seldom treated as significant security threats.

4. Growing Threat from Impersonation
TechRepublic’s data indicates only roughly 30% of US organizations map AI agent access, and 37% express concern over agents posing as users. In healthcare, up to 61% report experiencing attacks involving AI agents

5. Five Mitigation Steps
Shrestha outlines five key defenses: (1) inventory AI agents, (2) enforce least privilege, (3) monitor their actions, (4) integrate them into identity governance processes, and (5) establish human oversight—ensuring no agent operates unchecked.

6. Broader Context
This video builds on earlier insights about securing agentic AI, such as monitoring, prompt‑injection protection, and privilege scoping. The core call: treat AI agents like any high-risk insider.


📝 Feedback (7th paragraph):
This adeptly brings attention to a critical and often overlooked risk: AI agents as non‑human insiders. The healthcare case strengthens the urgency, yet adding quantitative data—such as what percentage of enterprises currently enforce least privilege on agents—would provide stronger impact. Explaining how to align these steps with existing frameworks like ISO 27001 or NIST would add practical value. Overall, it raises awareness and offers actionable controls, but would benefit from deeper technical guidance and benchmarks to empower concrete implementation.

Source Help Net security: Why AI agents could be the next insider threat

Agentic AI: Navigating Risks and Security Challenges

Artificial Intelligence: The Next Battlefield in Cybersecurity

AI and The Future of Cybersecurity: Navigating the New Digital Battlefield

“Whether you’re a technology professional, policymaker, academic, or simply a curious reader, this book will arm you with the knowledge to navigate the complex intersection of AI, security, and society.”

AI Governance Is a Boardroom Imperative—The SEC Just Raised the Stakes on AI Hype

How AI Is Transforming the Cybersecurity Leadership Playbook

Previous AI posts

IBM’s model-routing approach

Top 5 AI-Powered Scams to Watch Out for in 2025

Summary of CISO 3.0: Leading AI Governance and Security in the Boardroom

AI in the Workplace: Replacing Tasks, Not People

Why CISOs Must Prioritize Data Provenance in AI Governance

Interpretation of Ethical AI Deployment under the EU AI Act

AI Governance: Applying AI Policy and Ethics through Principles and Assessments

ISO/IEC 42001:2023, First Edition: Information technology – Artificial intelligence – Management system

ISO 42001 Artificial Intelligence Management Systems (AIMS) Implementation Guide: AIMS Framework | AI Security Standards

Businesses leveraging AI should prepare now for a future of increasing regulation.

Digital Ethics in the Age of AI 

DISC InfoSec’s earlier posts on the AI topic

InfoSec services | InfoSec books | Follow our blog | DISC llc is listed on The vCISO Directory | ISO 27k Chat bot | Comprehensive vCISO Services | ISMS Services | Security Risk Assessment Services | Mergers and Acquisition Security

Tags: AI Agents, Insider Threat


Jun 30 2025

Artificial Intelligence: The Next Battlefield in Cybersecurity

Category: AI,cyber securitydisc7 @ 8:56 am

Artificial Intelligence (AI) stands as a paradox in the cybersecurity landscape. While it empowers attackers with tools to launch faster, more convincing scams, it also offers defenders unmatched capabilities—if used strategically.

1. AI: A Dual-Edged Sword
The post emphasizes AI’s paradox in cybersecurity—it empowers attackers to launch sophisticated assaults while offering defenders potent tools to counteract those very threats

2. Rising Threats from Adversarial AI
AI emerging risks, such as data poisoning and adversarial inputs that can subtly mislead or manipulate AI systems deployed for defense

3. Secure AI Lifecycle Practices
To mitigate these threats, the article recommends implementing security across the entire AI lifecycle—covering design, development, deployment, and continual monitoring

4. Regulatory and Framework Alignment
It points out the importance of adhering to standards like ISO and NIST, as well as upcoming regulations around AI safety, to ensure both compliance and security .

5. Human-AI Synergy
A key insight is blending AI with human oversight/processes, such as threat modeling and red teaming, to maximize AI’s effectiveness while maintaining accountability

6. Continuous Adaptation and Education

Modern social engineering attacks have evolved beyond basic phishing emails. Today, they may come as deepfake videos of executives, convincingly realistic invoices, or well-timed scams exploiting current events or behavioral patterns.

The sophistication of these AI-powered attacks has rendered traditional cybersecurity tools inadequate. Defenders can no longer rely solely on static rules and conventional detection methods.

To stay ahead, organizations must counter AI threats with AI-driven defenses. This means deploying systems that can analyze behavioral patterns, verify identity authenticity, and detect subtle anomalies in real time.

Forward-thinking security teams are embedding AI into critical areas like endpoint protection, authentication, and threat detection. These adaptive systems provide proactive security rather than reactive fixes.

Ultimately, the goal is not to fear AI but to outsmart the adversaries who use it. By mastering and leveraging the same tools, defenders can shift the balance of power.

🧠 Case Study: AI-Generated Deepfake Voice Scam — $35 Million Heist

In 2023, a multinational company in the UK fell victim to a highly sophisticated AI-driven voice cloning attack. Fraudsters used deepfake audio to impersonate the company’s CEO, directing a senior executive to authorize a $35 million transfer to a fake supplier account. The cloned voice was realistic enough to bypass suspicion, especially because the attackers timed the call during a period when the CEO was known to be traveling.

This attack exploited AI-based social engineering and psychological trust cues, bypassing traditional cybersecurity defenses such as spam filters and endpoint protection.

Defense Lesson:
To prevent such attacks, organizations are now adopting AI-enabled voice biometrics, real-time anomaly detection, and multi-factor human-in-the-loop verification for high-value transactions. Some are also training employees to identify subtle behavioral or contextual red flags, even when the source seems authentic.

In early 2023, a multinational company in Hong Kong lost over $25 million after employees were tricked by a deepfake video call featuring AI-generated replicas of senior executives. The attackers used AI to mimic voices and appearances convincingly enough to authorize fraudulent transfers—highlighting how far social engineering has advanced with AI.

Source: [CNN Business, Feb 2024 – “Scammers used deepfake video call to steal millions”]

This example reinforces the urgency of integrating AI into threat detection and identity verification systems, showing how traditional security tools are no longer sufficient against such deception.

AI and The Future of Cybersecurity: Navigating the New Digital Battlefield

“Whether you’re a technology professional, policymaker, academic, or simply a curious reader, this book will arm you with the knowledge to navigate the complex intersection of AI, security, and society.”

Digital Ethics in the Age of AI – Navigating the ethical frontier today and beyond

AI Governance Is a Boardroom Imperative—The SEC Just Raised the Stakes on AI Hype

How AI Is Transforming the Cybersecurity Leadership Playbook

Previous AI posts

IBM’s model-routing approach

Top 5 AI-Powered Scams to Watch Out for in 2025

Summary of CISO 3.0: Leading AI Governance and Security in the Boardroom

AI in the Workplace: Replacing Tasks, Not People

Why CISOs Must Prioritize Data Provenance in AI Governance

Interpretation of Ethical AI Deployment under the EU AI Act

AI Governance: Applying AI Policy and Ethics through Principles and Assessments

ISO/IEC 42001:2023, First Edition: Information technology – Artificial intelligence – Management system

ISO 42001 Artificial Intelligence Management Systems (AIMS) Implementation Guide: AIMS Framework | AI Security Standards

Businesses leveraging AI should prepare now for a future of increasing regulation.

Digital Ethics in the Age of AI 

DISC InfoSec’s earlier posts on the AI topic

InfoSec services | InfoSec books | Follow our blog | DISC llc is listed on The vCISO Directory | ISO 27k Chat bot | Comprehensive vCISO Services | ISMS Services | Security Risk Assessment Services | Mergers and Acquisition Security

Tags: AI and Security, artificial intelligence, Digital Battlefield, Digital Ethics, Ethical Frontier


Jun 28 2025

Vineyard and Wineries may be at Risk

1. Vineyard and Wineries are increasingly at Risk

Many winery owners and executives—particularly those operating small to mid-sized, family-run estates—underestimate their exposure to cyber threats. Yet with the rise of direct-to-consumer channels like POS systems, wine clubs, and ecommerce platforms, these businesses now collect and store sensitive customer and employee data, including payment details, birthdates, and Social Security numbers. This makes them attractive targets for cybercriminals.

The Emerging Threat of Cyber-Physical Attacks

Wineries increasingly rely on automated production systems and IoT sensors to manage fermentation, temperature control, and chemical dosing. These digital tools can be manipulated by hackers to:

  • Disrupt production by altering temperature or chemical settings.
  • Spoil inventory through false sensor data or remote tampering.
  • Undermine trust by threatening product safety and quality.

A Cautionary Tale

While there are no public reports of terrorist attacks on the wine industry’s supply chain, the 1985 Austrian wine scandal is a stark reminder of what can happen when integrity is compromised. In that case, wine was adulterated with antifreeze (diethylene glycol) to manipulate taste—resulting in global recalls, destroyed reputations, and public health risks.

The lesson is clear: cyber and physical safety in the winery business are now deeply intertwined.


2. Why Vineyards and Wineries Are at Risk

  • High-value data: Personal and financial details stored in club databases or POS systems can be exploited and sold on the dark web.
  • Legacy systems & limited expertise: Many wineries rely on outdated IT infrastructure and lack in-house cybersecurity staff.
  • Regulatory complexity: Compliance with data privacy regulations like CCPA/CPRA adds to the burden, and gaps can lead to penalties.
  • Charming targets: Boutique and estate brands, which often emphasize hospitality and trust, can be unexpectedly appealing to attackers seeking vulnerable entry points.

3. Why It Matters

  • Reputation risk: A breach can shatter consumer trust—especially among affluent wine club customers who expect discretion and reliability.
  • Financial & legal exposure: Incidents may invite steep fines, ransomware costs, and lawsuits under privacy laws.
  • Operational disruption: Outages or ransomware can cripple point-of-sale and club systems, causing revenue loss and logistical headaches.
  • Competitive advantage: Secure operations can boost customer confidence, support audit and M&A readiness, and unlock better insurance or investor opportunities.

4. What You Can Do About It

  • Risk & compliance assessment: Discover vulnerabilities in systems, Wi‑Fi, and employee habits. Score your risk with a 10-page report for stakeholders.
  • Privacy compliance support: Navigate CCPA/CPRA (and PCI/GDPR as needed) to keep your winery legally sound.
  • Defense against phishing & ransomware: Conduct employee training, simulations, and implement defenses.
  • Security maturity roadmap: Prioritize improvements—like endpoint protection, firewalls, 2FA setups—and phase them according to your brand and budget.
  • Fractional vCISO support: Access quarterly executive consultations to align compliance and tech strategy without hiring full-time experts.
  • Optional services: Pen testing, PCI-DSS support, vendor reviews, and business continuity planning for deeper security.

DISC WinerySecure™ offers a tailored roadmap to safeguard your winery:

You don’t need to face this alone. We offer Free checklist + consultation.

DISC InfoSec
Virtual CISO | Wine Industry Security & Compliance

 Info@deurainfosec.com | https://www.deurainfosec.com/ | (707) 998-5164 | Contact us


Investing in a proactive security strategy isn’t just about avoiding threats—it’s about protecting your brand, securing compliance, and empowering growth. Contact DISC WinerySecure™ today for a free consultation.

In addition to winery protection, DISC specializes in securing data during mergers and acquisitions.

DISC WinerySecure™: Cybersecurity & Compliance Services for California Wineries


InfoSec services
 | InfoSec books | Follow our blog | DISC llc is listed on The vCISO Directory | ISO 27k Chat bot | Comprehensive vCISO Services | ISMS Services | Security Risk Assessment Services | Mergers and Acquisition Security

Next Steps: Let us prepare a customized scorecard or walk you through a free 15-minute discovery call.

Contact: info@discinfosec.com | www.discinfosec.com

Tags: Vineyard, Wineries at Risk


Jun 26 2025

Cybercriminals Impersonate ChatGPT, Cisco, and Google Meet in Sophisticated Phishing Attacks

Category: ChatGPT,Cyber Threats,Cybercrimedisc7 @ 10:11 am

1. Rise of Sophisticated Impersonation Attacks
Threat actors are increasingly tricking users by impersonating trusted services like ChatGPT, Cisco AnyConnect, Google Meet, and Microsoft Teams. They deploy phishing campaigns using cloned login pages or malicious files that seem legitimate, hoping to deceive users into entering credentials or downloading malware. These mimicry operations are carefully designed, with legitimate branding and context.

2. Exploiting Hybrid Work Tools
With remote and hybrid work now the norm, hackers have shifted their tactics to exploit collaboration and VPN platforms. They craft malicious emails or fake notifications that appear to come from these popular services, encouraging users to click harmful links or grant permissions that facilitate unauthorized access and infection .

3. Diverse Payload Delivery Mechanisms
The attacks aren’t limited to one method. Some rely on phishing emails containing malicious links or attachments, while others abuse meeting invites in Google Meet or Teams to deliver payloads. There are also standalone fake installers—such as trojanized VPN software—used to deploy remote access tools or malware under the guise of routine updates or patches .

4. Automation and Targeted Social Engineering
By automating the creation of phishing sites and using AI-driven reconnaissance, attackers can construct highly specific and credible social engineering scenarios. These may include sending spoofed notifications tailored for IT admins or frequent VPN users, significantly increasing the chances of successful breaches .

5. Prevention & User Awareness Strategies
The article stresses defense-in-depth strategies: enabling multi-factor authentication (MFA), verifying URLs before entering credentials, using dedicated device managers for downloads, and providing regular phishing-awareness training. It also underscores that IT teams should monitor logs for unusual login patterns and extend protection to collaboration platforms via endpoint security or email filtering .


Feedback

This piece effectively highlights a growing threat in today’s work environment—attackers hijacking the trust in widely used collaboration and VPN tools. Its strength lies in contextualizing how deepfake-style phishing is evolving with remote work trends. However, the article could benefit from more real-world examples or case studies to illustrate these threats in action. Additionally, it might be worthwhile to include references to security standards like the MITRE ATT&CK framework, which would give readers clearer insight into attack patterns and mitigation tactics. Overall, it’s a clear, timely alert that serves both as a warning and a practical guide for strengthening organizational security.

Threat Actors Exploit ChatGPT, Cisco AnyConnect, Google Meet, and Teams in Attacks on SMBs

Digital Earth – Cyber threats, privacy and ethics in an age of paranoia

InfoSec services | InfoSec books | Follow our blog | DISC llc is listed on The vCISO Directory | ISO 27k Chat bot | Comprehensive vCISO Services | ISMS Services | Security Risk Assessment Services | Mergers and Acquisition Security

www.discinfosec.com

Tags: ChatGPT, cyber threats, Cybercriminals Impersonate, phishing attacks


Jun 25 2025

AI Governance Is a Boardroom Imperative—The SEC Just Raised the Stakes on AI Hype

Category: AI,IT Governancedisc7 @ 7:18 am

The SEC has charged a major tech company for deceiving investors by exaggerating its use of AI—highlighting that the falsehood was about AI itself, not just product features. This signals a shift: AI governance has now become a boardroom-level issue, and many organizations are unprepared.

Advice for CISOs and execs:

  1. Be audit-ready—any AI claims must be verifiable.
  2. Involve GRC early—AI governance is about managing risk, enforcing controls, and ensuring transparency.
  3. Educate your board—they don’t need to understand algorithms, but they must grasp the associated risks and mitigation plans.

If your current AI strategy is nothing more than a slide deck and hope, it’s time to build something real.

AI Washing

The Securities and Exchange Commission (SEC) has been actively pursuing actions against companies for misleading statements about their use of Artificial Intelligence (AI), a practice often referred to as “AI washing”. 

Here are some examples of recent SEC actions in this area:

  • Presto Automation: The SEC charged Presto Automation for making misleading statements about its AI-powered voice technology used for drive-thru order taking. Presto allegedly failed to disclose that it was using a third party’s AI technology, not its own, and also misrepresented the extent of human involvement required for the product to function.
  • Delphia and Global Predictions: These two investment advisers were charged with making false and misleading statements about their use of AI in their investment processes. The SEC found that they either didn’t have the AI capabilities they claimed or didn’t use them to the extent they advertised.
  • Nate, Inc.: The founder of Nate, Inc. was charged by both the SEC and the DOJ for allegedly misleading investors about the company’s AI-powered app, claiming it automated online purchases when they were primarily processed manually by human contractors. 

Key takeaways from these cases and SEC guidance:

  • Transparency and Accuracy: Companies need to ensure their AI-related disclosures are accurate and avoid making vague or exaggerated claims.
  • Distinguish Capabilities: It’s important to clearly distinguish between current AI capabilities and future aspirations.
  • Substantiation: Companies should have a reasonable basis and supporting evidence for their AI-related claims.
  • Disclosure Controls: Companies should establish and maintain disclosure controls to ensure the accuracy of their AI-related statements in SEC filings and other communications. 

The SEC has made it clear that “AI washing” is a top enforcement priority, and companies should be prepared for heightened scrutiny of their AI-related disclosures. 

THE ILLUSION OF AI: How Companies Are Misleading You with Artificial Intelligence and What That Could Mean for Your Future

Digital Ethics in the Age of AI – Navigating the ethical frontier today and beyond

AI Governance: Applying AI Policy and Ethics through Principles and Assessments

How AI Is Transforming the Cybersecurity Leadership Playbook

Previous AI posts

IBM’s model-routing approach

Top 5 AI-Powered Scams to Watch Out for in 2025

Summary of CISO 3.0: Leading AI Governance and Security in the Boardroom

AI in the Workplace: Replacing Tasks, Not People

Why CISOs Must Prioritize Data Provenance in AI Governance

Interpretation of Ethical AI Deployment under the EU AI Act

AI Governance: Applying AI Policy and Ethics through Principles and Assessments

ISO/IEC 42001:2023, First Edition: Information technology – Artificial intelligence – Management system

ISO 42001 Artificial Intelligence Management Systems (AIMS) Implementation Guide: AIMS Framework | AI Security Standards

Businesses leveraging AI should prepare now for a future of increasing regulation.

Digital Ethics in the Age of AI 

DISC InfoSec’s earlier posts on the AI topic

InfoSec services | InfoSec books | Follow our blog | DISC llc is listed on The vCISO Directory | ISO 27k Chat bot | Comprehensive vCISO Services | ISMS Services | Security Risk Assessment Services | Mergers and Acquisition Security

Tags: AI Governance, AI Hype, AI Washing, Boardroom Imperative, Digital Ethics, SEC, THE ILLUSION OF AI


Jun 24 2025

With ShareVault, your sensitive data is protected by enterprise-grade security, built-in privacy controls, and industry-leading availability

Category: Information Privacy,Information Security,M&A,VDRdisc7 @ 9:50 am

With ShareVault, your sensitive data is protected by enterprise-grade security, built-in privacy controls, and industry-leading availability—so you can share critical information with confidence. Whether you’re managing M&A, compliance, or strategic partnerships, ShareVault ensures your data stays safe, your access stays private, and your operations never miss a beat.

Trust ShareVault—where security, privacy, and uptime come standard.

Top benefits of ShareVault:

  1. Advanced Document Security
    ShareVault offers robust encryption, dynamic watermarking, and granular access controls to ensure that sensitive documents remain secure—whether viewed, downloaded, or shared.
  2. Granular User Permissions
    Control who sees what, when, and how. ShareVault enables administrators to define user roles, set expiration dates, and restrict actions like printing or screen captures.
  3. Real-Time Activity Monitoring
    Detailed audit trails and real-time analytics provide full visibility into who accessed what and when—crucial for compliance, due diligence, and risk management.
  4. Seamless Collaboration
    Collaborate across teams and organizations with ease, using a user-friendly interface and support for secure Q&A, document versioning, and threaded commenting.
  5. High Availability and Scalability
    ShareVault is cloud-based with 99.99% uptime, offering reliable access anytime, anywhere—ideal for fast-paced deals, global teams, and critical business operations.
  6. ShareVault holds an ISO 27001 certification for its Security Management Program and undergoes annual third-party audits to validate its security controls, governance, and compliance. These assessments ensure continued adherence to ISO 27001, NIST 800-53r5, and 21 CFR Part 11 standards.

Sharvault Application Security

  1. Operating Systems: A mix of open-source and proprietary server operating systems
  2. Architecture: Multi-tenant design for data isolation
  3. Application Server: Industry-standard Java-based application server
  4. Database: Enterprise-grade relational database management system
  5. Authentication: Robust security framework for user authentication and access control
  6. Key Management: Cloud-based key management service
  7. Data Transfer Security: Strong encryption for all data transfers
  8. Global Performance: Content delivery network for optimized global access
  9. Document Handling: Various tools for document processing and viewing
  10. Search and Logging: Advanced search and logging capabilities
  11. Two-Factor Authentication: Phone-based two-factor authentication
  12. Email Services: Professional email delivery service
  13. Video Security: Secure video streaming with digital rights management
  14. Additional Database: NoSQL database for specific functionality
  15. AI Integration: AI-powered services for document analysis and processing

Feedback: Overall ShareVault appears to have a robust and comprehensive security architecture, leveraging a range of industry-standard technologies and best practices. The use of encryption, two-factor authentication, access controls, and secure data transfer protocols demonstrates a strong commitment to data security and privacy. Additionally, the integration of AI and machine learning capabilities for tasks like redaction and OCR highlights ShareVault’s adoption of modern technologies. Overall, the application security measures described seem well-designed and appropriate for a highly secure document sharing platform.

7 Ways to Keep an M&A Deal from Unraveling

Securing the Deal: A Deep Dive into M&A Data Security and Virtual Data Rooms

Mergers and Acquisitions from A to Z

InfoSec services | InfoSec books | Follow our blog | DISC llc is listed on The vCISO Directory | ISO 27k Chat bot | Comprehensive vCISO Services | ISMS Services | Security Risk Assessment Services | Mergers and Acquisition Security

Tags: M&A, Sharevault, VDR


Jun 24 2025

OWASP Releases AI Testing Guide to Strengthen Security and Trust in AI Systems

Category: AI,Information Securitydisc7 @ 9:03 am

The Open Web Application Security Project (OWASP) has released the AI Testing Guide (AITG)—a structured, technology-agnostic framework to test and secure artificial intelligence systems. Developed in response to the growing adoption of AI in sensitive and high-stakes sectors, the guide addresses emerging AI-specific threats, such as adversarial attacks, model poisoning, and prompt injection. It is led by security experts Matteo Meucci and Marco Morana and is designed to support a wide array of stakeholders, including developers, architects, data scientists, and risk managers.

The guide provides comprehensive resources across the AI lifecycle, from design to deployment. It emphasizes the need for rigorous and repeatable testing processes to ensure AI systems are secure, trustworthy, and aligned with compliance requirements. The AITG also helps teams formalize testing efforts through structured documentation, thereby enhancing audit readiness and regulatory transparency. It supports due diligence efforts that are crucial for organizations operating in heavily regulated sectors like finance, healthcare, and critical infrastructure.

A core premise of the guide is that AI testing differs significantly from conventional software testing. Traditional applications exhibit deterministic behavior, while AI systems—especially machine learning models—are probabilistic in nature. They produce varying outputs depending on input variability and data distribution. Therefore, testing must account for issues such as data drift, fairness, transparency, and robustness. The AITG stresses that evaluating model performance alone is insufficient; testers must probe how models react to both benign and malicious changes in data.

Another standout feature of the AITG is its deep focus on adversarial robustness. AI systems can be deceived through carefully engineered inputs that appear normal to humans but cause erroneous model behavior. The guide provides methodologies to assess and mitigate such risks. Additionally, it includes techniques like differential privacy to protect individual data within training sets—critical in the age of stringent data protection regulations. This holistic testing approach strengthens confidence in AI systems both internally and among external stakeholders.

The AITG also acknowledges the fluid nature of AI environments. Models can silently degrade over time due to data drift or concept shift. To address this, the guide recommends implementing continuous monitoring frameworks that detect such degradation early and trigger automated responses. It incorporates fairness assessments and bias mitigation strategies, which are particularly important in ensuring that AI systems remain equitable and inclusive over time.

Importantly, the guide equips security professionals with specialized AI-centric penetration testing tools. These include tests for membership inference (to determine if a specific record was in the training data), model extraction (to recreate or steal the model), and prompt injection (particularly relevant for LLMs). These techniques are crucial for evaluating AI’s real-world attack surface, making the AITG a practical resource not just for developers, but also for red teams and security auditors.

Feedback:
The OWASP AI Testing Guide is a timely and well-structured contribution to the AI security landscape. It effectively bridges the gap between software engineering practices and the emerging realities of machine learning systems. Its technology-agnostic stance and lifecycle coverage make it broadly applicable across industries and AI maturity levels. However, the guide’s ultimate impact will depend on how well it is adopted by practitioners, particularly in fast-paced AI environments. OWASP might consider developing companion tools, templates, and case studies to accelerate practical adoption. Overall, this is a foundational step toward building secure, transparent, and accountable AI systems.

How AI Is Transforming the Cybersecurity Leadership Playbook

Previous AI posts

IBM’s model-routing approach

Top 5 AI-Powered Scams to Watch Out for in 2025

Summary of CISO 3.0: Leading AI Governance and Security in the Boardroom

AI in the Workplace: Replacing Tasks, Not People

Why CISOs Must Prioritize Data Provenance in AI Governance

Interpretation of Ethical AI Deployment under the EU AI Act

AI Governance: Applying AI Policy and Ethics through Principles and Assessments

ISO/IEC 42001:2023, First Edition: Information technology – Artificial intelligence – Management system

ISO 42001 Artificial Intelligence Management Systems (AIMS) Implementation Guide: AIMS Framework | AI Security Standards

Businesses leveraging AI should prepare now for a future of increasing regulation.

Digital Ethics in the Age of AI 

DISC InfoSec’s earlier posts on the AI topic

InfoSec services | InfoSec books | Follow our blog | DISC llc is listed on The vCISO Directory | ISO 27k Chat bot | Comprehensive vCISO Services | ISMS Services | Security Risk Assessment Services | Mergers and Acquisition Security

Tags: AITG, ISO 42001 Artificial Intelligence Management Systems (AIMS) Implementation Guide: AIMS Framework | AI Security Standards, OWASP guide


Jun 23 2025

How AI Is Transforming the Cybersecurity Leadership Playbook

Category: AI,CISO,Information Security,Security playbook,vCISOdisc7 @ 12:13 pm

1. AI transforms cybersecurity roles

AI isn’t just another tool—it’s a paradigm shift. CISOs must now integrate AI-driven analytics into real-time threat detection and incident response. These systems analyze massive volumes of data faster and surface patterns humans might miss.

2. New vulnerabilities from AI use

Deploying AI creates unique risks: biased outputs, prompt injection, data leakage, and compliance challenges across global jurisdictions. CISOs must treat models themselves as attack surfaces, ensuring robust governance.

3. AI amplifies offensive threats

Adversaries now weaponize AI to automate reconnaissance, craft tailored phishing lures or deepfakes, generate malicious code, and launch fast-moving credential‑stuffing campaigns.

4. Building an AI‑enabled cyber team

Moving beyond tool adoption, CISOs need to develop core data capabilities: quality pipelines, labeled datasets, and AI‑savvy talent. This includes threat‑hunting teams that grasp both AI defense and AI‑driven offense.

5. Core capabilities & controls

The playbook highlights foundational strategies:

  • Data governance (automated discovery and metadata tagging).
  • Zero trust and adaptive access controls down to file-system and AI pipelines.
  • AI-powered XDR and automated IR workflows to reduce dwell time.

6. Continuous testing & offensive security

CISOs must adopt offensive measures—AI pen testing, red‑teaming models, adversarial input testing, and ongoing bias audits. This mirrors traditional vulnerability management, now adapted for AI-specific threats.

7. Human + machine synergy

Ultimately, AI acts as a force multiplier—not a surrogate. Humans must oversee, interpret, understand model limitations, and apply context. A successful cyber‑AI strategy relies on continuous training and board engagement .


🧩 Feedback

  • Comprehensive: Excellent balance of offense, defense, data governance, and human oversight.
  • Actionable: Strong emphasis on building capabilities—not just buying tools—is a key differentiator.
  • Enhance with priorities: Highlighting fast-moving threats like prompt‑injection or autonomous AI agents could sharpen urgency.
  • Communications matter: Reminding CISOs to engage leadership with justifiable ROI and scenario planning ensures support and budget.

A CISO’s AI Playbook

AI transforms the cybersecurity role—especially for CISOs—in several fundamental ways:


1. From Reactive to Predictive

Traditionally, security teams react to alerts and known threats. AI shifts this model by enabling predictive analytics. AI can detect anomalies, forecast potential attacks, and recommend actions before damage is done.

2. Augmented Decision-Making

AI enhances the CISO’s ability to make high-stakes decisions under pressure. With tools that summarize incidents, prioritize risks, and assess business impact, CISOs move from gut instinct to data-informed leadership.

3. Automation of Repetitive Tasks

AI automates tasks like log analysis, malware triage, alert correlation, and even generating incident reports. This allows security teams to focus on strategic, higher-value work, such as threat modeling or security architecture.

4. Expansion of Threat Surface Oversight

With AI deployed in business functions (e.g., chatbots, LLMs, automation platforms), the CISO must now secure AI models and pipelines themselves—treating them as critical assets subject to attack and misuse.

5. Offensive AI Readiness

Adversaries are using AI too—to craft phishing campaigns, generate polymorphic malware, or automate social engineering. The CISO’s role expands to understanding offensive AI tactics and defending against them in real time.

6. AI Governance Leadership

CISOs are being pulled into AI governance: setting policies around responsible AI use, bias detection, explainability, and model auditing. Security leadership now intersects with ethical AI oversight and compliance.

7. Cross-Functional Influence

Because AI touches every function—HR, legal, marketing, product—the CISO must collaborate across departments, ensuring security is baked into AI initiatives from the ground up.


Summary:
AI transforms the CISO from a control enforcer into a strategic enabler who drives predictive defense, leads governance, secures machine intelligence, and shapes enterprise-wide digital resilience. It’s a shift from gatekeeping to guiding responsible, secure innovation.

CISO Playbook: Mastering Risk Quantification

Previous AI posts

IBM’s model-routing approach

Top 5 AI-Powered Scams to Watch Out for in 2025

Summary of CISO 3.0: Leading AI Governance and Security in the Boardroom

AI in the Workplace: Replacing Tasks, Not People

Why CISOs Must Prioritize Data Provenance in AI Governance

Interpretation of Ethical AI Deployment under the EU AI Act

AI Governance: Applying AI Policy and Ethics through Principles and Assessments

ISO/IEC 42001:2023, First Edition: Information technology – Artificial intelligence – Management system

ISO 42001 Artificial Intelligence Management Systems (AIMS) Implementation Guide: AIMS Framework | AI Security Standards

Businesses leveraging AI should prepare now for a future of increasing regulation.

Digital Ethics in the Age of AI 

DISC InfoSec’s earlier posts on the AI topic

InfoSec services | InfoSec books | Follow our blog | DISC llc is listed on The vCISO Directory | ISO 27k Chat bot | Comprehensive vCISO Services | ISMS Services | Security Risk Assessment Services | Mergers and Acquisition Security

Tags: Cybersecurity Leadership Playbook


« Previous PageNext Page »