Synergies between ISO 27001 and ISO 42001: a holistic approach to information security and AI management

Synergies between ISO 27001 and ISO 42001: a holistic approach to information security and AI management

The recently published ISO 42001 marks a significant milestone for the methodical use of artificial intelligence (AI) in companies. This standard describes a systematic approach to the introduction and operation of AI systems in organizations. Like almost all ISO management systems, it follows the so-called Harmonized Structure (HS), which promotes the interaction of the various management systems. As a result, it makes sense to take a look at possible synergies between ISO 42001 and ISO 27001, which describes an information security management system (ISMS). The interaction between these two standards offers companies an excellent opportunity to strengthen and harmonize their information security and AI processes. This is worthwhile, not least against the backdrop of the regulatory situation, as more and more countries and jurisdictions are issuing requirements that regulate the orderly and secure use of artificial intelligence.

Basics of ISO 42001 and ISO 27001

ISO 27001 is an established standard that specifies requirements for setting up, implementing, maintaining and continually improving a documented information security management system. It aims to protect the confidentiality, availability and integrity of information.
The new ISO 42001 focuses on the requirements for a management system for artificial intelligence. It provides a framework for the ethical development, use and monitoring of AI systems to ensure that they are used responsibly and in accordance with social values and legal requirements. The standard addresses both pure user companies that use AI systems and organizations that design artificial intelligence systems.

Synergies in practice

1. risk management: Both standards emphasize the importance of risk management. ISO 27001 requires the identification, assessment and treatment of security risks related to information. ISO 42001 follows the same basic idea and focuses on AI-specific risks, such as algorithmic biases or decision errors. An integrated view of these risks leads to a more comprehensive risk management system.
2. data protection: The 2022 version of ISO 27001 also explicitly mentions the need to protect personal data. ISO 42001 defines specific requirements for the handling of data in AI systems, especially when this data is used for training algorithms. Especially when the (training) data is personal data, both standards create a holistic view of the topic.
3. compliance: Both standards promote compliance with relevant laws and regulations. ISO 42001 specifically addresses the ethical and legal challenges associated with the implementation and operation of AI systems. Companies that are already ISO 27001 certified could use their existing compliance structures to efficiently integrate the requirements of ISO 42001.
4. continuous improvement: A central principle of both standards is the continuous improvement of the management system and its processes. By linking the improvement processes of both systems, companies can accelerate innovation cycles while ensuring that both information security and ethical considerations around the use of AI systems are addressed on an ongoing basis.

Conclusion

The combination of ISO 27001 and ISO 42001 provides organizations with a solid foundation for managing information security and AI-related challenges. An integrated management system that combines both standards not only supports stronger compliance and risk mitigation, but also promotes responsible use of AI technologies – in a secure way. Companies that implement both standards in an integrated way position themselves as leaders in responsible AI technology development and use.
I believe that this will ultimately lead to a sustainable competitive advantage!