AI SAFE2 Framework v2.1 – Governance and Compliance for Agentic AI Aligned with ISO 42001

Summary: AI SAFE2 Framework v2.1 provides a comprehensive governance architecture for autonomous AI workforces, integrating 128 operational controls that map Agentic AI risks to ISO 42001, NIST AI RMF, and SOC 2 standards. It enables audit-readiness within 60 minutes by translating complex AI agent behaviors and swarm dynamics into regulatory compliance.

What it does

AI SAFE2 v2.1 defines and governs agentic AI, swarms, and natural human intelligence (NHI) through a five-layer defense architecture that includes perimeter sanitation, audit mapping, fail-safe mechanisms, monitoring, and continuous education. It offers JSON schemas, CLI commands, and Docker configurations to secure AI stacks such as Cursor, LangChain, and CrewAI, ensuring compliance across multiple frameworks simultaneously.

Who it's for

The framework targets automation experts, security architects, GRC officers, platform engineers, and CISOs who require structured AI risk management and rapid audit evidence generation for agentic AI deployments.

Why it matters

It addresses the gap in existing GRC platforms that lack specific controls for autonomous AI agents and swarms, providing a practical, enforceable strategy to mitigate risks like hallucination and hijacking, which traditional compliance checklists fail to cover.