DISC InfoSec blogManaging Artificial Intelligence Threats with ISO 27001

Feb 13 2025

Managing Artificial Intelligence Threats with ISO 27001

Category: AI,ISO 27k — disc7 @ 9:43 am

Artificial intelligence (AI) and machine learning (ML) systems are increasingly integral to business operations, but they also introduce significant security risks. Threats such as malware attacks or the deliberate insertion of misleading data into inadequately designed AI/ML systems can compromise data integrity and lead to the spread of false information. These incidents may result in severe consequences, including legal actions, financial losses, increased operational and insurance costs, diminished competitiveness, and reputational damage.

To mitigate AI-related security threats, organizations can implement specific controls outlined in ISO 27001. Key controls include:

A.5.9 Inventory of information and other associated assets: Maintaining a comprehensive inventory of information assets ensures that all AI/ML components are identified and managed appropriately.
A.5.12 Information classification: Classifying information processed by AI systems helps in applying suitable protection measures based on sensitivity and criticality.
A.5.14 Information transfer: Securing the transfer of data to and from AI systems prevents unauthorized access and data breaches.
A.5.15 Access control: Implementing strict access controls ensures that only authorized personnel can interact with AI systems and the data they process.
A.5.19 Information security in supplier relationships: Managing security within supplier relationships ensures that third-party providers handling AI components adhere to the organization’s security requirements.
A.5.31 Legal, statutory, regulatory, and contractual requirements: Complying with all relevant legal and regulatory obligations related to AI systems prevents legal complications.
A.8.25 Secure development life cycle: Integrating security practices throughout the AI system development life cycle ensures that security is considered at every stage, from design to deployment.

By implementing these controls, organizations can effectively manage the confidentiality, integrity, and availability of information processed by AI systems. This proactive approach not only safeguards against potential threats but also enhances overall information security posture.

In addition to these controls, organizations should conduct regular risk assessments to identify and address emerging AI-related threats. Continuous monitoring and updating of security measures are essential to adapt to the evolving landscape of AI technologies and associated risks.

Furthermore, fostering a culture of security awareness among employees, including training on AI-specific threats and best practices, can significantly reduce the likelihood of security incidents. Engaging with industry standards and staying informed about regulatory developments related to AI will also help organizations maintain compliance and strengthen their security frameworks.