UK AI Cyber Security Code of Practice 2.3: Create an audit trail for the AI system

What does 2.3 require?

To underpin data preparation, security auditing and incident response, developers document the AI system and keep an audit trail covering how it operates and how the models, datasets and prompts inside it are managed across their lifecycle.

Maintained by Gerard Blokdyk

Other controls in Secure design (Principles 1 to 4) – UK AI Cyber Security Code of Practice

1.1 AI security content in the cyber security training programme
1.2 Ongoing staff awareness of AI threats, with secure AI coding training for developers
2.1 Assess the need, the risks and the mitigations before building an AI system
2.2 Design for resilience against adversarial attack, unexpected input and failure
2.4 AI-specific risk assessment and due diligence for external components
2.5 Match intended use to data sensitivity, and encourage staff to report AI security risks
2.6 Least-privilege, risk-assessed permissions for the AI system on other systems
2.7 Due diligence on external providers

Query this from an agent

The graph holds this control, the 0 it maps to, and the evidence behind each claim, over MCP and REST.

MCP endpoint All UK AI Cyber Security Code of Practice controls