OECD AI Principles OECDAI-3: Robustness, Security, Safety, and Adversarial Attack Protection

Adhere to OECD AI Principles Section 1.4 (Robustness + security + safety). AI systems should be robust + secure + and safe throughout their entire lifecycle so that in conditions of normal use + foreseeable use or misuse + or other adverse conditions they function appropriately and do not pose unreasonable safety risk. To this end AI actors should ensure traceability + auditability + ability to log + and apply a systematic risk management approach to each phase of the AI system lifecycle on a continuous basis to address risks related to AI systems + including privacy + digital security + safety + and bias. Implement (a) AI risk identification and assessment aligned with NIST AI RMF + ISO/IEC 23894 + ISO/IEC 42001, (b) AI system categorisation by risk level + (c) AI model validation and testing covering performance + robustness + fairness + safety + security + (d) ongoing AI risk monitoring including drift + adversarial attack + emergent capability + (e) AI model security and integrity including model signing + provenance + access control + (f) adversarial attack protection (evasion + poisoning + extraction + inference + prompt injection + jailbreak + agentic misuse + similar) + (g) safe AI deployment procedures + (h) AI system lifecycle management + (i) AI system robustness and resilience.