Compliance

ISO 27001 Compliance for AI Systems

Guide to ISO 27001 information security compliance for AI and LLM applications.

· 8 min read

ISO 27001 is the international standard for information security management systems (ISMS). AI systems that process sensitive data must be included in your ISMS scope and comply with relevant controls.

ISO 27001 and AI Systems

AI introduces new information security risks that must be addressed within your ISMS:

  • Data leakage: LLMs may expose training data or context
  • Prompt injection: Attackers manipulate AI behavior
  • Model theft: Extraction of proprietary models
  • Supply chain: Third-party model and API risks

Relevant ISO 27001 Controls

A.8 Asset Management

  • Inventory AI models and training data as information assets
  • Classify AI outputs based on sensitivity
  • Define acceptable use policies for AI systems

A.9 Access Control

  • Implement authentication for AI APIs
  • Role-based access to AI capabilities
  • Audit logging of AI interactions

A.12 Operations Security

  • Monitor AI systems for anomalies
  • Log and review AI outputs
  • Protect against prompt injection attacks

A.15 Supplier Relationships

  • Assess security of AI/LLM providers
  • Include AI-specific requirements in contracts
  • Monitor third-party AI service security

Risk Assessment for AI

Your ISO 27001 risk assessment should include AI-specific threats:

  • Data exposure through model outputs
  • Manipulation of AI behavior
  • Availability impacts from AI failures
  • Integrity issues from hallucinations

DriftRail for ISO 27001

DriftRail supports ISO 27001 compliance with:

  • ISO 27001 compliance report generation
  • Immutable audit logs for all AI interactions
  • Prompt injection detection (A.12 operations security)
  • PII detection for data classification (A.8)
  • API authentication and access controls (A.9)

FAQ

Do AI systems need to be in ISO 27001 scope?

If AI systems process information within your ISMS scope, they should be included. This includes AI APIs, models, training data, and outputs.

How do I assess AI vendor security?

Request SOC 2 reports, review their security documentation, and include AI-specific requirements in your supplier assessment. Consider data residency, encryption, and access controls.

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