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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 abroadfor 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.
“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.”
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.
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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.
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.
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.
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
Operating Systems: A mix of open-source and proprietary server operating systems
Architecture: Multi-tenant design for data isolation
Application Server: Industry-standard Java-based application server
Database: Enterprise-grade relational database management system
Authentication: Robust security framework for user authentication and access control
Key Management: Cloud-based key management service
Data Transfer Security: Strong encryption for all data transfers
Global Performance: Content delivery network for optimized global access
Document Handling: Various tools for document processing and viewing
Search and Logging: Advanced search and logging capabilities
Email Services: Professional email delivery service
Video Security: Secure video streaming with digital rights management
Additional Database: NoSQL database for specific functionality
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.
Engaging with AI chatbots like ChatGPT offers numerous benefits, but it’s crucial to be mindful of the information you share to safeguard your privacy. Sharing sensitive data can lead to security risks, including data breaches or unauthorized access. To protect yourself, avoid disclosing personal identity details, medical information, financial account data, proprietary corporate information, and login credentials during your interactions with ChatGPT.
Chat histories with AI tools may be stored and could potentially be accessed by unauthorized parties, especially if the AI company faces legal actions or security breaches. To mitigate these risks, it’s advisable to regularly delete your conversation history and utilize features like temporary chat modes that prevent the saving of your interactions.
Implementing strong security measures can further enhance your privacy. Use robust passwords and enable multifactor authentication for your accounts associated with AI services. These steps add layers of security, making unauthorized access more difficult.
Some AI companies, including OpenAI, provide options to manage how your data is used. For instance, you can disable model training, which prevents your conversations from being utilized to improve the AI model. Additionally, opting for temporary chats ensures that your interactions aren’t stored or used for training purposes.
For tasks involving sensitive or confidential information, consider using enterprise versions of AI tools designed with enhanced security features suitable for professional environments. These versions often come with stricter data handling policies and provide better protection for your information.
By being cautious about the information you share and utilizing available privacy features, you can enjoy the benefits of AI chatbots like ChatGPT while minimizing potential privacy risks. Staying informed about the data policies of the AI services you use and proactively managing your data sharing practices are key steps in protecting your personal and sensitive information.
In a recent interview with The Register, renowned cryptographer and privacy advocate Bruce Schneier reflected on the decade since his seminal work, Data and Goliath, was published. He observed that both governmental and corporate surveillance have not only persisted but intensified over the years. Despite minor legislative adjustments, agencies like the NSA continue their extensive data collection practices unabated. Simultaneously, tech giants and data brokers have expanded their data harvesting operations, capitalizing on the proliferation of cloud computing and Internet-of-Things (IoT) devices.
Schneier highlighted the growing pervasiveness of surveillance tools in everyday life. The widespread adoption of IoT devices and the ubiquitous presence of smartphones have created an environment where individuals are under constant observation. This reality has led to an erosion of personal privacy, as more data is collected, stored, and analyzed than ever before. The convenience offered by modern technology often comes at the cost of personal data security, a trade-off that many users are either unaware of or feel powerless to challenge.
Addressing the role of government in protecting privacy, Schneier emphasized the necessity for comprehensive privacy legislation aimed at regulating mass surveillance. However, he expressed skepticism about the likelihood of significant federal action in the United States. While some progress has been made internationally, such as the European Union’s General Data Protection Regulation (GDPR), and at the state level within the U.S., these measures are often fragmented and insufficient to address the overarching issues of data exploitation and privacy invasion.
Schneier also discussed the ethical implications of current data practices. He predicted that, in the future, society will look back on today’s data exploitation methods with the same moral condemnation currently directed at historical labor abuses, such as sweatshops. This perspective suggests a growing awareness and potential shift in societal norms regarding privacy and data rights. As public consciousness evolves, there may be increased pressure on both corporations and governments to adopt more ethical data practices.
Reflecting on technological advancements, Schneier noted that the integration of sophisticated surveillance capabilities into everyday devices has outpaced the development of corresponding privacy protections. The rapid evolution of technology has made it increasingly difficult for existing legal frameworks to keep up, resulting in a landscape where personal data is more vulnerable than ever. This disconnect highlights the urgent need for adaptive policies that can respond to the fast-paced nature of technological innovation.
In conclusion, Schneier’s insights underscore a pressing need for a reevaluation of how personal data is collected, used, and protected. Without significant changes in both policy and public awareness, the trajectory points toward a future where privacy is continually compromised. Schneier’s call to action serves as a reminder that safeguarding privacy requires collective effort from individuals, corporations, and governments alike.
For more than a decade, DuckDuckGo has rallied against Google’s extensive online tracking. Now the privacy-focused web search and browser company has another target in its sights: the sprawling, messy web of data brokers that collect and sell your data every single day.
Today, DuckDuckGo is launching a new browser-based tool that automatically scans data broker websites for your name and address and requests that they be removed. Gabriel Weinberg, the company’s founder and CEO, says the personal-information-removal product is the first of its kind where users don’t have to submit any of their details to the tool’s owners. The service will make the requests for information to be removed and then continually check if new records have been added, Weinberg says. “We’ve been doing it to automate it completely end-to-end, so you don’t have to do anything.
The personal-information removal is part of DuckDuckGo’s first subscription service, called Privacy Pro, and is bundled with the firm’s first VPN and an identity-theft-restoration service. Weinberg says the subscription offering, which is initially available only in the US for $9.99 per month or $99.99 per year, is part of an effort to add to the privacy-focused tools it provides within its web browser and search engine. “There’s only so much we can do in that browsing loop, there’s things happening outside of that, and a big one is data brokers, selling information scraped from different places,” Weinberg says.
DuckDuckGo’s personal-information-removal tool—for now, at least—is taking the privacy fight to people-search websites, which allow you to look up names, addresses, and some details of family members. However, Weinberg says DuckDuckGo has created it so the company isn’t gathering details about you, and it is built on technology from Removaly, which the company acquired in 2022.
Ahead of its launch, the company demonstrated how the system works and some of the engineering efforts that went into its creation. On the surface, the removal tool is straightforward: You access it through the company’s browser and enter some information about yourself, such as your name, year of birth, and any addresses. It then scans 53 data broker websites for results linked to you and requests those results to be wiped. (All 53 data brokers included have opt-out schemes that allow people to make requests.) A dashboard shows updates about what has been removed and when it will next scan those websites again, in case new records have been added.
Under the hood, things are more complex. Greg Fiorentino, a product director at DuckDuckGo, says when you enter your personal data into the system, it’s all saved in an encrypted database on your computer (the tool doesn’t work on mobile), and the company isn’t sent this information. “It doesn’t go to DuckDuckGo servers at all,” he says.
For each of the data brokers’ websites, Fiorentino says, DuckDuckGo looked at its URL structure: For instance, search results may include the name, location, and other personal information that are queried. When the personal information tool looks for you on these websites, it constructs a URL with the details you have entered.
“Each of the 53 sites we cover has a slightly different structure,” Fiorentino says. “We have a template URL string that we substitute the data in from the user to search. There are lots of different nuances and things that we need to be able to handle to actually match the data correctly.”
During testing, the company says, it found most people have between 15 and 30 records on the data broker sites it checks, although the highest was around 150. Weinberg says he added six addresses to be removed from websites. “I found hits on old stuff, and even in the current address, which I really tried to hide a bit from getting spam at, it’s still out there somehow,” Weinberg says. “It’s really hard to avoid your information getting out there.”
Once the scan for records has been completed, the DuckDuckGo system, using a similar deconstruction of each of the data broker websites, will then automatically make requests for the records to be removed, the team working on the product say. Fiorentino says some opt-outs will happen within hours, whereas others can take weeks to remove the data. The product director says that in the future, the tool may be able to remove data from more websites, and the company is looking at potentially including more sensitive data in the opt-outs, such as financial information.
Various personal-information-removal services exist on the web, and they can vary in what they remove from websites or the services they provide. Not all are trustworthy. Recently, Mozilla, the creator of the Firefox browser, stopped working with identity protection service Onerep after investigative journalist Brian Krebs revealed that the founder of Onerep also founded dozens of people-search websites in recent years.
DuckDuckGo’s subscription service marks the first time the company has started charging for a product—its browser and search engine are free to use, and the firm makes its money from contextual ads. Weinberg says that, because subscriptions are purchased through Apple’s App Store, Google Play, or with payment provider Stripe, details about who subscribes are not transferred to DuckDuckGo’s servers. A random ID is created for each user when they sign up, so people don’t have to create an account or hand DuckDuckGo their payment information. The company says it doesn’t have access to people’s Apple IDs or Google account details.
For its identity-theft-restoration service, DuckDuckGo says it is working with identity protection service Iris, which uses trained staff to help with fraudulent banking activity, document replacement, emergency travel, and more. DuckDuckGo says no information is shared between it and Iris.
Weinberg says that while the company’s main focus is providing free and easy-to-use privacy tools to people, running a VPN and the removal tool requires a different business model. “It just takes a lot of bandwidth,” he says of the VPN.
Broadly, the VPN industry, which allows people to hide their web traffic from internet providers and avoid geographic restrictions on streaming, has historically been full of companies with questionable records when it comes to privacy and people’s data. Free VPNs have long been a privacy nightmare.
DuckDuckGo says its VPN, which it built in-house and which uses the WireGuard protocol, does not store any logs of people’s activities and can be used on up to five devices at once. “We don’t have any record of website visits, DNS requests, IP addresses connected, or session lengths,” the company says in its documentation. The VPN runs through its browser, with 13 location options at launch, but shields all internet traffic passing through your phone or computer.
The company says it is conducting a third-party audit of the VPN to allow its claims to be scrutinized, and it will publish the full audit once it’s complete. “We really wanted to do something in the VPN space for a long time, we just didn’t have the resources and people to do it,” Weinberg says. “We looked at partnering in different places. If we have to completely trust a partner versus building something where we can make it anonymous, we decided we would want to do it ourselves.”
One of the primary concerns regarding data privacy is the potential for breaches and unauthorized access. Whether it’s financial records, medical histories, or personal communications, individuals have a right to control who can access their data and for what purposes.
In this Help Net Security round-up, we present parts of previously recorded videos in which security experts discuss various aspects of data privacy and protection.
Complete videos
Stephen Cavey, Chief Evangelist at Ground Labs, talks about how businesses and job seekers are not only prioritizing data privacy but using it as a competitive advantage in this rivalrous landscape.
Dana Morris, SVP Product and Engineering at Virtru, talks about privacy-preserving cryptography.
Kris Lahiri, CSO at Egnyte, believes data privacy violations cast a long shadow and takes a closer look at the lasting consequences.
Karen Schuler, Global Privacy & Data Protection Chair at BDO, discusses overconfidence in data privacy and data protection practices.
Romain Deslorieux, Global Director, Strategic Partnerships at Thales, discusses what companies should be planning based on current regulations and what steps they can take to prepare for the future.
Your data is an asset. Safeguarding it will help you comply with data protection laws and allow your business to thrive
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There’s just about no one that can say they’ve never been online or used online services. We spend a significant part of our daily lives online, which can bring various risks. It’s simple for apps, websites, and hackers to track and use your online activity for their own purposes. However, we look into useful tools like rotating residential proxies and more to help prevent others from tracking you.
HOW OTHERS TRACK YOU ONLINE?
People are often surprised to find out how much they’re being tracked online. With devices like your smartphone, tablet, and desktop, various apps, websites, and hackers can track your online activities. These activities could expose sensitive information like your physical location, personal information, financial information, and more.
The benign reason that others track you online is to learn your shopping habits and provide more targeted marketing. While this can feel invasive and result in spam emails, it’s ultimately not harmful. However, cybercriminals and hackers can also track you using the above methods and learn more confidential information, like your social security number, home address, and habits.
Ultimately, if hackers and scammers have this information, they can also more easily scam you. Phishing attempts, false advertisements, and more are all ways you can be conned out of your money when your habits and information are known.
MEASURES TO PREVENT FROM BEING TRACKED
Whether it’s to avoid targeted marketing and prevent your personal information from being vulnerable or to stay safe from hackers, there are various methods you can use to protect yourself online.
MULTIPLE BROWSERS
Using multiple browsers to create accounts and browse the internet is a simple way of making it difficult to track you. That’s because you split your activity over various browsers that don’t share information. It also limits your exposure to web tracking, keeps your various activities separate, and you can delete information easier.
MIXING USER AGENTS WITH EXTENSIONS
A user agent is the software that tells the website which browser you’re using, your rendering engine, and your operating systems. This information is shared to ensure the version of the website you see is optimized for your browser and device. You can change the user agent to confuse any trackers on these websites.
A user-agent switcher is a tool you can use to switch the type of user agent you have, making it look like you’re using a different browser and device. You also have access to various privacy extensions which work with this user-agent switcher to protect against tracking.
STAY PRIVATE IN PUBLIC
Don’t use public networks to browse the internet when you’re in public. While free Wi-Fi seems beneficial, these open networks can leave a gap in your device’s defenses for hackers to sneak through. Instead, stay on your private network, and ensure you don’t give strangers access to that network or your device.
ADJUST PRIVACY SETTINGS
It’s best to adjust your privacy settings on your devices and browsers to avoid online websites and hackers tracking you. Enable “Do Not Track” on your browsers and devices to keep the device from tracking you. While it won’t stop a determined hacker, it helps lessen the tracking cookies on your browsers.
Also, ensure that mobile apps don’t have permission to track your location, as this is another avenue that reveals your activities to others. Only use apps that require your location when using a proxy that helps block malicious websites, connections, and more.
DON’T SAVE COOKIES
While we’re on the subject of cookies, another good step is not to accept website cookies. These cookies track your activity on the website, leaving a digital footprint behind. It can also reveal your habits, likes, IP addresses, and more.
USE ROTATING PROXIES
Using rotating residential proxies is an easy way to keep yourself from being tracked. Residential proxy servers contact the website on your behalf, so you’re never directly contacting it. The IP addresses it uses are from actual home devices, making you look like a natural person and enabling you to browse the web safely.
Rotating residential servers use a new IP address each time you make a new connection. These rotating IP addresses make it extremely difficult to track you, as the proxy takes care of the cookies and leaves no digital footprint behind to exploit.
RATHER STAY SAFE THAN BEING TRACKED
While there are various ways to try and avoid being tracked, there’s no way to ensure it won’t happen as long as you use the internet. Rotating residential proxies is an excellent preventative and protective measure, but we advise you never to log into your Google, Apple, Facebook, or other essential accounts while browsing unprotected. You can never be truly certain how you’re being tracked, as such you should implement as many different measures as you can to protect your privacy.
How do you solve privacy issues with AI? It’s all about the blockchain
Data is the lifeblood of artificial intelligence (AI), and the power that AI brings to the business world — to unearth fresh insights, increase speed and efficiency, and multiply effectiveness — flows from its ability to analyze and learn from data. The more data AI has to work with, the more reliable its results will be.
Feeding AI’s need for data means collecting it from a wide variety of sources, which has raised concerns about AI gathering, processing, and storing personal data. The fear is that the ocean of data flowing into AI engines is not properly safeguarded.
Are you donating your personal data to generative AI platforms?
While protecting the data that AI tools like ChatGPT is collecting against breaches is a valid concern, it is actually only the tip of the iceberg when it comes to AI-related privacy issues. A more poignant issue is data ownership. Once you share information with a generative AI tool like Bard, who owns it?
Those who are simply using generative AI platforms to help craft better social posts may not understand the connection between the services they offer and personal data security. But consider the person who is using an AI-driven chatbot to explore treatment for a medical condition, learn about remedies for a financial crisis, or find a lawyer. In the course of the exchange, those users will most likely share some personal and sensitive information.
Every query posed to an AI platform becomes part of that platform’s data set without regard to whether or not it is personal or sensitive. ChatGPT’s privacy policy makes it clear: “When you use our Services, we collect Personal Information that is included in the input, file uploads, or feedback that you provide to our Services.” It also says: “In certain circumstances we may provide your Personal Information to third parties without further notice to you, unless required by the law…”
Looking to blockchain for data privacy solutions
While the US government has called for an “AI Bill of Rights” designed to protect sensitive data, it has yet to provide the type of regulations that protect its ownership. Consequently, Google and Microsoft have full ownership over the data that their users provide as they comb the web with generative AI platforms. That data empowers them to train their AI models, but also to get to understand you better.
Those looking for a way to gain control of their data in the age of AI can find a solution in blockchain technology. Commonly known as the foundation of cryptocurrency, blockchain can also be used to allow users to keep their personal data safe. By empowering a new type of digital identity management — known as a universal identity layer — blockchain allows you to decide how and when your personal data is shared.
Blockchain technology brings a number of factors into play that boost the security of personal data. First, it is decentralized, meaning that data is not stored in a centralized database and is not subject to its vulnerabilities with blockchain.
Blockchain also supports smart contracts, which are self-executing contracts that have the terms of an agreement written into their code. If the terms aren’t met, the contract does not execute, allowing for data stored on the blockchain to be utilized only in the way in which the owner stipulates.
Enhanced security is another factor that blockchain brings to data security efforts. The cryptographic techniques it utilizes allow users to authenticate their identity without revealing sensitive data.
Leveraging these factors to create a new type of identification framework gives users full control of who can use and view their information, for what purposes, and for how long. Once in place, this type of identity system could even be used to allow users to monetize their data, charging large language models (LLMs) like OpenAI and Google Bard to benefit from the use of personal data.
Ultimately, AI’s ongoing needs may lead to the creation of platforms where users offer their data to LLMs for a fee. A blockchain-based universal identity layer would allow the user to choose who gets to use it, toggling access on and off at will. If you decide you don’t like the business practices Google has been employing over the past two months, you can cut them off at the source.
That type of AI model illustrates the power that comes from securing data on a decentralized network. It also reveals the killer use case of blockchain that is on the horizon.
Aaron Rafferty is the CEO of Standard DAO and Co-Founder of BattlePACs, a subsidiary of Standard DAO. BattlePACs is a technology platform that transforms how citizens engage in politics and civil discourse. BattlePACs believes participation and conversations are critical to moving America toward a future that works for everyone.
The Tor browser guarantees that your communication remains operational through a decentralized network of transfers maintained by volunteers located worldwide.
It safeguards your internet connection from prying eyes by preventing any individual from monitoring the websites you visit, shields your physical location from being disclosed to the websites you browse, and enables access to blocked websites.
Numerous reasons exist for why individuals may seek to share files anonymously, with the most prominent being the case of whistleblowers or political activists striving to avoid persecution.
When a user initiates Tor, it initially passes through the first node in the circuit chosen from a pool of 2500 out of 7000 computers referred to as the “Entry Guard.” These nodes are known for their high uptime and availability.
New Mullvad Browser
A new browser was launched today, featuring an alternative infrastructure that includes a layer of VPN support in place of the Tor network.
With the new Mullvad Browser, anyone can fully utilize the privacy features developed by the Tor Project.
“Mullvad Browser, a free, privacy-preserving web browser to challenge the all-too-prevalent business model of exploiting people’s data for profit,” Torproject said.
This could be another privacy-focused browser that does not require extensions or plugins to bolster its privacy features.
“Our goal was to give users the privacy protections of Tor Browser without Tor. For instance, the Mullvad Browser applies a “hide-in-the-crowd” approach to online privacy by creating a similar fingerprint for all of its users.”
The Mullvad Browser has a default private mode that obstructs third-party trackers and cookies while providing convenient cookie deletion options.
Mullvad aims to handle all of that for you, allowing you to open the browser with the assurance that you are not easily traceable.
“Our mission at the Tor Project is to advance human rights by building technology that protects people’s privacy, provides anonymity and helps them bypass censorship.”
“We want to free the internet from mass surveillance and a VPN alone is not enough to achieve privacy. From our perspective there has been a gap in the market for those who want to run a privacy-focused browser as good as the Tor Project’s but with a VPN instead of the Tor Network,” says Jan Jonsson, CEO at Mullvad VPN.
The Tor Project has released a statement affirming that the Tor Browser will continue to evolve and enhance its capabilities.
YOUR DEVICES AND apps really, really want to know where you are—whether it’s to tell you the weather, recommend some restaurants you might like, or better target advertising at you. Managing what you’re sharing and what you’re not sharing, and when, can quickly get confusing.
It’s also possible that you have inconsistencies in the various location histories logged by your devices: Times when you thought you’d switched off and blocked location sharing but you’re still being tracked, or vice versa.
Here we’ll cover everything you need to consider when it comes to location tracking, and hopefully simplify it along the way. Whether you want to give out access to your current location or not, you should be in control of these settings, and not be caught unawares by additional options that you missed.How Location Tracking Gets Confusing
What happens if you distinctly remember turning location tracking off on a device, yet your position is still popping up on a map? Or maybe you thought you’d left the feature on, yet you’re seeing gaps in your location history? There are a few explanations, but essentially you need to remember all the different ways your location can be logged: by your devices, by your apps, and by websites you visit.
For example, you might have disabled location tracking on a phone but left it enabled on a tablet. Alternatively, you might have a laptop that’s tracking where you are in the background, even though you thought you’d disabled the feature in the apps you use. If you want location tracking completely enabled or disabled, you need to factor in all these different ways of keeping tabs on where you are.
If you have a Google account, this is a good illustration. Head to your account settings on the web, then choose Data and Privacy and Location History. Select Devices on This Account, which may reveal some phones, tablets, and laptops that you’d forgotten about—any device with a check next to it in this list is saving your movements to your Google account for future reference.
You can click Turn Off to disable this, but note the caveats that are listed in the confirmation box that appears onscreen: Your location might still be logged by your mobile devices, by the Find My Device service that helps you recover lost hardware, and by Google Maps when you’re navigating or searching around the area you’re in. This Location History setting is more of an overall toggle switch, affecting features such as the Google Timeline and the ability to quickly look up places you visit regularly.
From the main Google account screen, there are several more places where your location gets logged and shared: Click Data and Privacy then Web & App Activity to manage location data saved by Google Maps and other apps and websites, and click People andSharing then Manage Location Sharing to see a list of specific contacts who can see where you are through various Google services.Managing Location Tracking on Mobile
The steps to manage your location on Android vary slightly depending on the manufacturer of your phone, but the menus and instructions involved are broadly similar. On Google Pixel devices, you can open up Settings then select Location: You’ll see the Use Location toggle switch, and if you turn this off, none of your apps will be able to know where you are, nor will Google.
If you leave the Use Location toggle switch on, you can customize location access for individual apps further down on the same screen. Note that you can choose to allow apps to know where you are at all times, or only when the app in question is running in the foreground—tap on any app in the list to make changes.
Over on iOS, it’s a similar setup. If you select Privacy & Security from Settings, and then tap Location Services, you can turn off location tracking for the phone and all the apps on it. If you choose to leave this enabled, you can manage individual app access to your location via the list underneath. As on Android, you can choose to restrict apps to knowing your location only when the particular app itself is running, or allow them to monitor it in the background too.MOST POPULAR
Erasing the location data that’s been collected on you is a complex process, as you need to check the records and the settings of every app that’s ever had access to your location. For Google and Google’s apps, you can head to your Google account on the web, then choose either Location History or Web & App Activity under Data and Privacy to wipe this data from the record. You’ll also find options for automatically deleting this data after 3, 18, or 36 months.
Apple doesn’t log your movements in quite the same way, but it does build up a list of places you visit frequently (like your home and perhaps your office) so you can quickly get to them again. To clear this list on your iPhone, open Settings then choose Privacy & Security, Location Services, System Services, and Significant Locations. You can clear this list and stop it from populating in the future.Managing Location Tracking on Desktop
Your laptop or desktop computer is unlikely to be fitted with GPS capabilities, so it won’t track your location in quite the same way as your phone, but applications, websites, and the operating system will still have some idea where you are—primarily through the locations that you sign into the web from (via your home Wi-Fi, for example).
On Windows, you can open up Settings and then choose Privacy & Security and Location. As on Android and iOS, you’ll see you can turn location tracking off for individual applications (via the toggle switches on the right) or shut it down for the entire computer (the option at the top). The same screen lets you see which apps have been using your location, and enables you to wipe the log of your travels—click Clear next to Location History to do this.
When it comes to the same process on macOS, you need to click the Apple menu and select System Settings, Privacy & Security, and Location Services. The next screen looks very similar to the Windows one, with toggle switches for individual applications as well as for macOS itself—turn off any of the switches where you don’t want location access to be given. If you click Details next to System Services on this screen, you can clear the list of “significant locations” Apple has saved for you, just like on iOS.
If location tracking is on for your computer and your browser of choice, that means individual websites such as Facebook, Amazon, or the Google Search can know where you are as well. Sometimes this is useful, of course (for getting the right weather forecast), but there might be times when you want to turn it off if you’re trying to keep your whereabouts private.
The MAC address is (should be) unique to each network interface. By the way, if the device has several network interfaces, then each of them has its own MAC address. For example, laptops have at least two network interfaces: wired and Wi-Fi – each of them has an MAC address. Desktop computers are usually the same. When we talk about “changing MAC addresses”, we need to understand that there are several of these addresses. By the way, each port has its own unique MAC address, if the device supports wireless networks, then each wireless interface (2.4 GHz and 5 GHz) also has its own MAC address.
So, since the MAC address must be unique, it allows you to uniquely identify the network device. And since this network device is part of your computer, this allows you to uniquely identify your computer. Moreover, the MAC address (also called a hardware, physical address) does not change when the operating system changes.
In short, the replacement of the MAC address is needed so that it is not possible to track and identify the device by the MAC address. But there is a more important reason (than paranoia) to learn about MAC addresses and about methods from substitution, or prohibiting changes in your system. Based on MAC addresses, user identification can be performed when connected via the Intercepting Portal. A few words about the Intercepting Portal. Captive Portal). This is a way to force the user to comply with certain conditions for providing Internet access. You can most often encounter examples of Intercepting Portals in public places that provide Internet access services via Wi-Fi to an indefinite circle of people, but who want to identify the user and / or allow access only to persons with credentials. For example, at the airport you may need to confirm your phone number via SMS to access the free Wi-Fi network. The hotel will provide you with a username and password for accessing the Internet via Wi-Fi – this ensures that only hotel customers can use Wi-Fi services.
Due to the features of the Intercepting Portal, user identification is based on MAC addresses. And starting with NetworkManager 1.4.0 (a popular program for managing network connections on Linux), an automatic MAC-address spoofing is now present. And in case of incorrect settings, you may encounter an Internet access problem running through the Intercepting Portal. There are also problems with customized filtering by MAC on the router.
Well, for pentesting experts , of course, there are reasons to change the MAC address: for example, to pretend to be another user, and take advantage of its open access to the magical world of the Internet, or to increase anonymity.
Who can see my MAC address?
The MAC address is used to transfer data on a local network. That is, it is not transmitted when connecting to websites and when accessing the global network. Although there are exceptions: some vulnerabilities allow a person who is not on your local network to find out your MAC address.
If you connect to the router via the local network, then the router knows your MAC address, but if you open the site on the Internet, the site owner cannot find out your MAC address.
All devices located on the local network can see each other’s MAC addresses (there are many scanners that can get this data). An example of a local network scan made using arp-scan. A slightly different situation with wireless network interfaces. If you are connected to an access point (router), then all the rules of the local network work: the router and other devices can find out your MAC address. But also any person who is within the reach of your Wi-Fi signal (from the phone, laptop) can find out your MAC address.
SPOOFING MAC ADDRESSES IN NETWORKMANAGER
NetworkManager may reassign MAC installed by other programs
Starting with NetworkManager 1.4.0, this program supports MAC spoofing, and has many different options.
So that we can understand them, we need to understand some concepts
First, network adapters are :
wired (ethernet);
wireless (wifi).
For each group, MAC rules are customized separately.
Secondly, a wireless adapter can be in two states:
scanning (search, not connected to the network) – is set using the property wifi.scan-rand-mac-address, default set to yes, which means that during scanning it sets an arbitrary MAC address. Another acceptable value is no;
connected to the network – installed using the property wifi.cloned-mac-address, the default value is preserve.
For wired interface (installed by property ethernet.cloned-mac-address) and the wireless interface in the connection state (installed by the property wifi.cloned-mac-address) the following values are available (regimes):
clearly specified MAC address (t.e. you can write the desired value that will be assigned to the network interface)
permanent: use the MAC address sewn into the device
preserve: do not change the device’s MAC address after activation (for example, if the MAC has been changed by another program, the current address will be used)
random: generate a random variable for each connection
stable: similar to random – i.e. for each connection to generate a random variable, NO when connecting to the same network, the same value will be generated
NULL / not installed: This is the default value that allows you to roll back to global settings by default. If global settings are not set, then NetworkManager rolls back to the value preserve.
If you are trying to change the MAC in other ways and you are failing, it is entirely possible that NetworkManager, which changes the MAC in its own rules, is to blame. Since most Linux distributions with a NetworkManager graphical interface are installed and running by default, to solve your problem, you must first understand how NetworkManager works and by what rules.
NETWORKMANAGER CONFIGURATION FILES
NetworkManager settings, including settings related to MAC, can be done in a file /etc/NetworkManager/NetworkManager.conf or adding an additional file with the extension . . . .conf to the directory /etc/NetworkManager/conf.d
The second option is highly recommended, since when updating NetworkManager usually replaces the main one . . . . . . . . . .conf file and if you made changes to /etc/NetworkManager/NetworkManager.conf, then the settings you made will be overwritten.
HOW TO MAKE KALI LINUX REPLACE WITH EACH CONNECTION
If you want the MAC address to be replaced with each connection, but the same MAC is used in the connection to the same network, then the file /etc/NetworkManager/conf.d/mac.conf:
Lines with ethernet.cloned-mac-address & wifi.cloned-mac-address can be added individually or together.
Check the current values :
1
ip link
Restart the service :
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sudo systemctl restart NetworkManager
We will make connections to wired and wireless networks. Now check the values of MAC again
As you can see, MAC is replaced for both the wired and wireless interfaces.
As already mentioned, the same addresses will be generated for the same networks, if you want different MACs each time even for the same networks, then the lines should look like this:
HOW TO CONFIGURE AUTOMATIC MAC SPOOFING IN UBUNTU AND LINUX MINT
Ubuntu and Linux Mint use NetworkManager versions that support automatic MAC configuration. However, if you connect a Wi-Fi card to Ubuntu or Linux Mint, you will see a real MAC. This is due to the fact that in the file /etc/NetworkManager/NetworkManager.conf indicated not to spoof :
Similarly, you can add lines to replace MAC (these settings create a new address for each connection, but when connecting to the same networks, the same address is used):
We will use the program ip, which is included in the package iproute2.
Let’s start by checking the current MAC address with the command :
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ip link show interface_name
Where Interface_name – This is the name of a particular network interface that you want to see. If you do not know the name, or want to see all the interfaces, then the command can be started like this :
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ip link show
At the moment, we are interested in the part that follows after link / ether“and represents a 6-byte number. It will look something like this :
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link/ether 00:c0:ca:96:cf:cb
The first step for spoofing MAC addresses is to transfer the interface to a state down. This is done by the team
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sudo ip link set dev interface_name down
Where Interface_name replaces the real name. In my case, this wlan0, then the real team looks like this:
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sudo ip link set dev wlan0 down
Next, we go directly to the MAC spoofing. You can use any hexadecimal value, but some networks may be configured not to assign IP addresses to customers whose MAC address does not match any known vendor (producer). In these cases, so that you can successfully connect to the network, use the MAC prefix of any real vendor (first three bytes) and use arbitrary values for the next three bytes.
To change the MAC, we need to run the command :
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sudo ip link set dev interface_name address XX:XX:XX:XX:XX:XX
Where XX: XX: XX: XX: XX: XX – This is the desired new MAC .
For example, I want to set the hardware address EC: 9B: F3: 68: 68: 28 for my adapter, then the team looks like this:
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sudo ip link set dev wlan0 address EC:9B:F3:68:68:28
In the last step, we return the interface to the state up. This can be done by a team of the form :
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sudo ip link set dev interface_name up
For my system, a real team:
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sudo ip link set dev wlan0 up
If you want to check if the MAC is really changed, just run the command again:
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ip link show interface_name
Value after “link / ether“should be the one you installed.
CHANGE MAC WITH MACCHANGER
Another method uses macchanger (also known as the GNU MAC Changer). This program offers various functions, such as changing the address so that it matches a particular manufacturer, or its complete randomization.
Set macchanger – it is usually present in official repositories, and in Kali Linux it is installed by default.
At the time of the change of the MAC, the device should not be used (be connected in any way, or have status up). To transfer the interface to a state down:
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sudo ip link set dev interface_name down
For spoofing, you need to specify the name of the interface, and replace in each next command wlan0 in the name of the interface that you want to change the MAC.
To find out the values of MAC, execute the command with the option -s:
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sudo macchanger -s wlan0
Something like:
12
Current MAC: 00:c0:ca:96:cf:cb (ALFA, INC.)Permanent MAC: 00:c0:ca:96:cf:cb (ALFA, INC.)
The “Current MAC” line means the address at the moment, and “Permanent MAC” means a constant (real) address.
For spoofing the MAC address to a completely arbitrary address (option -r):
The first two lines are already explained, the line “New MAC” means a new address.
For randomization, only bytes that determine the uniqueness of the device, the current MAC address (i.e.e. if you check the MAC address, it will register as from the same vendor) run the command (option -e):
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sudo macchanger -e wlan0
To set the MAC address to a specific value, execute (option -m):
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sudo macchanger -m XX:XX:XX:XX:XX:XX wlan0
Here XX: XX: XX: XX: XX: XX – This is the MAC you want to change to.
Finally, to return the MAC address to the original, constant value prescribed in the iron (option -p):
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sudo macchanger -p wlan0
CONCLUSION
NetworkManager currently provides a wealth of MAC spoofing capabilities, including a change to a random address, or to a specific one. A feature of NetworkManager is the separation of “scanning” and “connected” modes, i.e. you may not see that the settings made have already entered into force until you connect to any network.
If after the change of MAC you have problems with connecting (you cannot connect to networks – wired or wireless), this means that there is a ban on connecting with MAC from an unknown vendor (producer). In this case, you need to use the first three octets (bytes) of any real vendor, the remaining three octets can be arbitrary says pentesting experts.
Data-deletion service’s patent covers removing personal information such as geolocation, biometrics, and phone records from a vehicle by using a user-computing device
— Privacy4Cars, the first privacy-tech company focused on solving the privacy and security issues posed by vehicle data to protect consumers and automotive businesses, announced today that it has secured a new patent, further expanding its patent coverage for removing privacy information from a vehicle by using a user computing device. This patent grant marks the fourth patent that the U.S. Patent & Trademark Office has awarded to Privacy4Cars in the past three years and provides further evidence that the company is the leading innovator in the vehicle data privacy and security field.
Since its launch in 2018, Privacy4Cars has emerged as the industry standard across auto finance companies (including captives, national and regional banks, auto lenders, and credit unions), fleets and fleet management companies, and franchised and independent dealerships. Many of today’s top companies in the automotive space — including the three largest OEM’s captives — have adopted the data-deletion service powered by the Privacy4Cars platform, and a growing number of industry associations have begun speaking out about the need to clear personal information from cars, and tapping Privacy4Cars as a resource to educate members.
“Used vehicles are akin to large, unencrypted hard drives full of consumers’ sensitive Personal Information, including identifiers, geolocation, biometrics, and phone records,” said Andrea Amico, CEO and founder of Privacy4Cars. “This creates service, reputation, and increasingly major regulatory challenges, including the obligations companies face under the new Safeguards Rule (coming into effect on Dec. 9, 2022) and a host of existing and new state laws. At the same time, federal and local agencies are increasingly concerned about the personal information vehicles capture and store — which is driving more and more auto businesses to look for reliable solutions to simply and effectively delete data from vehicles while creating by design detailed compliance logs that prove their efforts,” he continued. “This new patent demonstrates Privacy4Cars’ commitment to meet the growing compliance and service needs of our partners. Privacy4Cars has established itself as the clear leader in the vehicle privacy space and companies increasingly recognize the superior efficiency, effectiveness, and compliance outcomes our proprietary solution offers, making Privacy4Cars the only obvious choice”.
Privacy4Cars’ newly awarded U.S. Patent No. 11,494,514 expands the scope of patent protection for the vehicle data privacy and security innovations of Privacy4Cars’ U.S. Patent No. 11,256,827, U.S. Patent No. 11,157,648 and U.S. Patent No. 11,113,415. The new patent covers the use of a user computing device to remove privacy information from a vehicle and to create feedback about the information removal activity, including deletion logs for use in legal compliance applications.
Privacy4Cars is currently available in the US, Canada, UK, EU, Middle East, India, and Australia, and plans to further expand its geographical reach to address the growing number of countries that have comprehensive privacy and data security laws. Privacy4Cars is available to consumers as a free-to-download app, and to businesses as a subscription service. Businesses can use Privacy4Cars’ stand-alone app or choose to integrate Privacy4Cars’ Software Development Kit to easily embed its patented data deletion solution as a feature inside their own apps.
For more information about Privacy4Cars, please visit: https://privacy4cars.com.ABOUT PRIVACY4CARS
Privacy4Cars is the first and only technology company focused on identifying and resolving data privacy issues across the automotive ecosystem. Our mission, Driving Privacy, means offering a suite of services to expand protections for individuals and companies alike, by focusing on privacy, safety, security, and compliance. Privacy4Cars’ patented solution helps users quickly and confidently clear vehicle users’ personal information (phone numbers, call logs, location history, garage door codes, and more) while building compliance records. For more information, please visit: https://privacy4cars.com/
Data protection is challenging for many businesses because the United States does not currently have a national privacy law — like the EU’s GDPR — that explicitly outlines the means for protection. Lacking a federal referendum, several states have signed comprehensive data privacy measures into law. The California Privacy Rights Act (CPRA) will replace the state’s current privacy law and take effect on January 1, 2023, as will the Virginia Consumer Data Protection Act (VCDPA). The Colorado Privacy Act (CPA) will commence on July 1, 2023, while the Utah Consumer Privacy Act (UCPA) begins on December 31, 2023.
For companies doing business in California, Virginia, Colorado and Utah* — or any combination of the four — it is essential for them to understand the nuances of the laws to ensure they are meeting protection requirements and maintaining compliance at all times.
Understanding how data privacy laws intersect is challenging
While the spirit of these four states’ data privacy laws is to achieve more comprehensive data protection, there are important nuances organizations must sort out to ensure compliance. For example, Utah does not require covered businesses to conduct data protection assessments — audits of how a company protects data to determine potential risks. Virginia, California and Colorado do require assessments but vary in the reasons why a company may have to take one.
Virginia requires companies to undergo data protection assessments to process personal data for advertising, sale of personal data, processing sensitive data, or processing consumer profiling purposes. The VCDPA also mandates an assessment for “processing activities involving personal data that present a heightened risk of harm to consumers.” However, the law does not explicitly define what it considers to be “heightened risk.” Colorado requires assessments like Virginia, but excludes profiling as a reason for such assessments.
Similarly, the CPRA requires annual data protection assessments for activities that pose significant risks to consumers but does not outline what constitutes “significant” risks. That definition will be made through a rule-making process via the California Privacy Protection Agency (CPPA).
The state laws also have variances related to whether a data protection assessment required by one law is transferable to another. For example, let’s say an organization must adhere to VCDPA and another state privacy law. If that business undergoes a data protection assessment with similar or more stringent requirements, VCDPA will recognize the other assessment as satisfying their requirements. However, businesses under the CPA do not have that luxury — Colorado only recognizes its assessment requirements to meet compliance.
Another area where the laws differ is how each defines sensitive data. The CPRA’s definition is extensive and includes a subset called sensitive personal information. The VCDPA and CPA are more similar and have fewer sensitive data categories. However, their approaches to sensitive data are not identical. For example, the CPA views information about a consumer’s sex life and mental and physical health conditions as sensitive data, whereas VCDPA does not. Conversely, Virginia considers a consumer’s geolocation information sensitive data, while Colorado does not. A business that must adhere to each law will have to determine what data is deemed sensitive for each state in which it operates.
There are also variances in the four privacy laws related to rule-making. In Colorado and Utah, rule-making will be at the discretion of the attorney general. Virginia will form a board consisting of government representatives, business people and privacy experts to address rule-making. California will engage in rule-making through the CPPA.
The aforementioned represents just some variances between the four laws — there are more. What is clear is that maintaining compliance with multiple laws will be challenging for most organizations, but there are clear measures companies can take to cut through the complexity.
Overcoming ambiguity through proactive data privacy protection
Without a national privacy law to serve as a baseline for data protection expectations, it is important for organizations that operate under multiple state privacy laws to take the appropriate steps to ensure data is secure regardless of regulations. Here are five tips.
Partner with compliance and legal experts
It is critical to have someone on staff or to serve as a consultant who understands privacy laws and can guide an organization through the process. In addition to compliance expertise, legal advice will be a must to help navigate every aspect of the new policies.
Identify data risk
From the moment a business creates or receives data from an outside source, organizations must first determine its risk based on the level of sensitivity. The initial determination lays the groundwork for the means by which organizations protect data. As a general rule, the more sensitive the data, the more stringent the protection methods should be.
Create policies for data protection
Every organization should have clear and enforceable policies for how it will protect data. Those policies are based on various factors, including regulatory mandates. However, policies should attempt to protect data in a manner that exceeds the compliance mandates, as regulations are often amended to require more stringent protection. Doing so allows organizations to maintain compliance and stay ahead of the curve.
Integrate data protection in the analytics pipeline
The data analytics pipeline is being built in the cloud, where raw data is converted into usable, highly valuable business insight. For compliance reasons, businesses must protect data throughout its lifecycle in the pipeline. This implies that sensitive data must be transformed as soon as it enters the pipeline and then stays in a de-identified state. The data analytics pipeline is a target for cybercriminals because, traditionally, data can only be processed as it moves downstream in the clear. Employing best-in-class protection methods — such as data masking, tokenization and encryption — is integral to securing data as it enters the pipeline and preventing exposure that can put organizations out of compliance or worse.
Implement privacy-enhanced computation
Organizations extract tremendous value from data by processing it with state-of-the-art analytics tools readily available in the cloud. Privacy-enhancing computation (PEC) techniques allow that data to be processed without exposing it in the clear. This enables advanced-use cases where data processors can pool data from multiple sources to gain deeper insights.
The adage, “An ounce of prevention is worth a pound of cure,” is undoubtedly valid for data protection — especially when protection is tied to maintaining compliance. For organizations that fall under any upcoming data privacy laws, the key to compliance is creating an environment where data protection methods are more stringent than required by law. Any work done now to manage the complexity of compliance will only benefit an organization in the long term.
*Since writing this article, Connecticut became the fifth state to pass a consumer data privacy law.
Earlier this year, the White House announced that it is working with the European Union on a Trans-Atlantic Data Privacy Framework. According to a White House statement, this framework will “reestablish an important legal mechanism for transfers of EU personal data to the United States. The United States has committed to implement new safeguards to ensure that signals intelligence activities are necessary and proportionate in the pursuit of defined national security objectives, which will ensure the privacy of EU personal data and to create a new mechanism for EU individuals to seek redress if they believe they are unlawfully targeted by signals intelligence activities.”
This is encouraging news. As The National Law Review pointed out, the EU had concerns about the protection of their citizens’ data from U.S. government surveillance. But it may also be the push needed to advance greater data privacy protections in America.
“The joint statement references the U.S. putting in place ‘new safeguards’ to ensure that intelligence activities are ‘necessary and proportionate’, the definition and practical application of which will be one of the things that privacy campaigners will be looking at closely when the detailed text is drafted and made available,” said Stephen Bailey of NCC Group in an email comment.
Data Privacy and AppSec
The world runs on apps, so it is necessary to look at how the Trans-Atlantic Data Privacy Framework will impact app development and app security.
“For application developers, the single biggest challenge to complying with increasingly rigorous data protection frameworks is getting control of their data, particularly sensitive and personally identifiable information,” explained Chris McLellan, director of operations at the nonprofit Data Collaboration Alliance.
Today, every new app, whether bought or built, traps data in a silo, which can only be connected through the exchange of copies or point-to-point data integration.
“These copies make it incredibly difficult—and in some cases, even impossible—to support GDPR outcomes like ubiquitous data access controls, portability, custodianship, deletion (the right to be forgotten) and precision auditability: Things that could potentially, although they’re unlikely to, be included in the post-Privacy Shield framework. But they are definitely looming on the horizon both internationally and domestically, for example, in California and Utah,” said McLellan.
As data privacy frameworks become more common and we begin to see more joint efforts internationally, organizations have to think about how they share and store data in the future, taking compliance requirements into greater consideration.
Organizations need to get more serious about minimizing their use of data and start implementing strategies that introduce real control to the data they manage, McLellan says. They should be exploring ways now to eliminate data silos and copies that have resulted in rampant data proliferation.
No Quick Fixes
But, as McLellan pointed out, there are no quick fixes. Unwinding years of “an app for everything and a database for every app” mantra will be difficult, and McLellan believes this is best approached in two stages.
Stage One: Immediately treat the symptoms of data proliferation by evaluating and adopting privacy-enhancing technologies that help organizations anonymize and encrypt data, and better manage consent. “They should also investigate the potential to adopt first-party and zero-party data collection practices that redirect customer and other sensitive data away from the third-party apps (e.g. Google Analytics), over which they have no control,” McLellan explained. “Organizations should also adopt processes and workflows that help them establish ‘purpose-based’ data access requests.”
Stage Two: Organizations should explore ways to address the root causes of data proliferation. Everyone within the organization’s technology teams—CIO, CDO, application development, data and IT teams—should familiarize themselves with emerging frameworks like zero-copy integration, a framework that is on track to become a national standard in Canada.
“It’s the evolution of privacy-by-design and signals the beginning of the end for application-specific data silos and copy-based data integration. Such frameworks are made possible by new categories of technology, including data fabrics, dataware and blockchain that support ‘zero copy’ digital innovation. Many leading organizations, particularly in finance and health care, are already ahead of the curve in adopting this approach,” said McLellan.
Data protection regulations at home and abroad reflect a burgeoning global trend toward citizens and consumers gaining greater control and ownership of data as its rightful owner.
“These regulatory shifts,” said McLellan, “will need to be met by an equally significant shift in how U.S. businesses manage data and build new applications if there’s any hope to comply with new laws as they’re passed.”
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The FBI warned US organizations and individuals are being increasingly targeted in BECattacks on virtual meeting platforms
The Federal Bureau of Investigation (FBI) warned this week that US organizations and individuals are being increasingly targeted in BEC (business email compromise) attacks on virtual meeting platforms.
Business Email Compromise/Email Account Compromise (BEC/EAC) is a sophisticated scam that targets both entities and individuals who perform legitimate transfer-of-funds requests
Cybercriminals are targeting organizations of any size and individuals, in BEC attack scenarios attackers pose as someone that the targets trust in, such as business partners, CEO, executives, and service providers.
Scammers use to compromise legitimate business or personal email accounts through different means, such as social engineering or computer intrusion to conduct unauthorized transfers of funds.
Crooks started using virtual meeting platforms due to the popularity they have reached during the pandemic.
The Public Service Announcement published by FBI warns of a new technique adopted by scammers that are using virtual meeting platforms to provide instructions to the victims to send unauthorized transfers of funds to fraudulent accounts.
“Between 2019 through 2021, the FBI IC3 has received an increase of BEC complaints involving the use of virtual meeting platforms to instruct victims to send unauthorized transfers of funds to fraudulent accounts. A virtual meeting platform can be defined as a type of collaboration technique used by individuals around the world to share information via audio, video conferencing, screen sharing and webinars.” reads the FBI’s PSA.
Crooks are using the virtual meeting platforms for different purposes, including impersonating CEOs in virtual meetings and infiltrating meetings to steal sensitive and business information.
Below are some of the examples provided by the FBI regarding the use of virtual meeting platforms by crooks:
Compromising an employer or financial director’s email, such as a CEO or CFO, and requesting employees to participate in a virtual meeting platform where the criminal will insert a still picture of the CEO with no audio, or “deep fake1” audio, and claim their video/audio is not properly working. They then proceed to instruct employees to initiate transfers of funds via the virtual meeting platform chat or in a follow-up email.
Compromising employee emails to insert themselves in workplace meetings via virtual meeting platforms to collect information on a business’s day-to-day operations.
Compromising an employer’s email, such as the CEO, and sending spoofed emails to employees instructing them to initiate transfers of funds, as the CEO claims to be occupied in a virtual meeting and unable to initiate a transfer of funds via their own computer.
Below are recommendations provided by the FBI:
Confirm the use of outside virtual meeting platforms not normally utilized in your internal office setting.
Use secondary channels or two-factor authentication to verify requests for changes in account information.
Ensure the URL in emails is associated with the business/individual it claims to be from.
Be alert to hyperlinks that may contain misspellings of the actual domain name.
Refrain from supplying login credentials or PII of any sort via email. Be aware that many emails requesting your personal information may appear to be legitimate.
Verify the email address used to send emails, especially when using a mobile or handheld device, by ensuring the sender’s address appears to match who it is coming from.
Ensure the settings in employees’ computers are enabled to allow full email extensions to be viewed.
Monitor your personal financial accounts on a regular basis for irregularities, such as missing deposits.
Google announced Privacy Sandbox on Android to limit user data sharing and prevent the use of cross-app identifiers. The company states that the Privacy Sandbox technologies are still in development.
“Privacy Sandbox on Android will strengthen privacy, while providing tools app developers need to support and grow their businesses. It will introduce new solutions that operate without cross-app identifiers – including Advertising ID – and limit data sharing with third parties.” reads the announcement.
Google is also committed tp fighting and reducing covert data collection.
The goals of the Privacy Sandbox are:
Build new technology to keep your information private
Enable publishers and developers to keep online content free
Collaborate with the industry to build new internet privacy standards
Google will continue to support existing ads platform features for at least two years. The IT giant is inviting developers to review the proposed solution and provide their feedback through the Android developer portal.
“Starting today, developers can review our initial design proposals and share feedback on the Android developer site. We plan to release developer previews over the course of the year, with a beta release by the end of the year. We’ll provide regular updates on designs and timelines, and you can also sign up to receive updates.” concludes the announcement. “We know this initiative needs input from across the industry in order to succeed. We’ve already heard from many partners about their interest in working together to improve ads privacy on Android, and invite more organizations to participate.”
Almost every part of our everyday lives is closely connected to the internet – we depend on it for communication, entertainment, information, running our households, even running our cars.
Not everyone in the world has access to the same features and content on the internet, though, with some governments imposing restrictions on what you can do online. This severely limits internet freedom and, with it, the quality of life and other rights of the affected users.
Internet freedom is a broad term that covers digital rights, freedom of information, the right to internet access, freedom from internet censorship, and net neutrality.
To cover this vast subject, we’ve compiled 50 statistics that will give you a pretty clear picture about the state of internet freedom around the world. Dig into the whole thing or simply jump into your chosen area of interest below:
