ARTIFICIAL INTELLIGENCE (AI) AND ISO/IEC 27001:2022

Posted on by Dr Nadia Dimmock

INTRODUCTION

Artificial Intelligence (AI) is reshaping the way organisations operate, offering powerful capabilities for data analysis, automation, and decision-making. However, with these advancements come new challenges in managing and securing information. ISO/IEC 27001:2022—the latest update to the international standard for Information Security Management Systems (ISMS)—recognises the evolving technological landscape and provides enhanced guidance to address these emerging risks. This blog article explores how AI aligns with ISO/IEC 27001:2022, highlighting key controls and considerations for maintaining compliance and strengthening information security in AI-driven environments.

AI and ISO 27001:2022

Outlined below are common uses for AI when implementing ISO/IEC27001:2022.

  • Risk management: The use of AI introduces additional risks to the business like data poisoning or model inversion. Model inversion is a type of attack that uses the final output of an AI model to identify the original dataset on which the AI system was trained. In this instance the attackers can reconstruct the information (including sensitive characteristics) that was used to train the model
  • Monitoring activities: Monitoring activities are outlined in Annex A.8.16 Monitoring Activities from ISO/IEC 27001:2022. AI systems that analyse user behaviour or logs must be secured and monitored for integrity and misuse. Effective AI monitoring should include: –
    • monitoring inputs, outputs, and internal decisions
    • securing monitoring tools and logs
    • auditing both users and AI driven activity
    • ensuring compliance with privacy, security, and governance policies
  • Information security for use of cloud services: Control A5.23 from Annex A in ISO/IEC 27001:2022 outlines the information security for use of cloud services. Many AI services run in the cloud hence, this control addresses shared responsibility and data protection.
  • Secure coding: Control A8.30 from Annex A in ISO/IEC 27001:2022 outlines how AI algorithms and models can secure development practices for AI and machine learning (ML) code. Secure coding does not end at deployment, but ongoing monitoring and patching are essential.
  • Privacy protection of personally identifiable information (PII): Control A5.34 from Annex A in ISO/IEC 27001:2022 outlines how AI can be used to identify privacy compliance requirements and ensure that PII is secured.

CONCLUSION

As artificial intelligence becomes increasingly integrated into business operations, its impact on information security cannot be overlooked. ISO/IEC 27001:2022 provides a comprehensive framework to address the unique challenges AI introduces, from risk management and secure coding to cloud security and privacy protection. Organisations that proactively align their AI initiatives with the controls outlined in ISO/IEC 27001:2022 will be better positioned to maintain a robust and resilient Information Security Management System. By embracing these guidelines, businesses can not only safeguard their data and systems but also foster trust and compliance in an AI-driven world.

For further information about AI and ISO/IEC 27001:2022 please email info@obsequentia.com.au

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