FRAMEWORK SUITE

Framework comparison

The frameworks are connected but not interchangeable.

Comparison table

FrameworkFull nameScalePrimary rolePublication status
GAISSFGlobal AI Safety and Security Framework9 domainsImplementation-independent, evidence-based governance and assurance framework covering technical, organizational, human, regulatory and physical-AI risk.Final Publication v1.0
UAIFUnified AI Incident Framework11 sectionsIncident interchange, classification and severity framework with a seven-layer architecture, conformance profiles and machine-readable schema.Final Publication v1.0
AI-IRFAI Incident Response Framework19 domainsOperational incident response architecture spanning preparation, detection, classification, containment, recovery, notification and learning.Final Publication v1.0
PAI-SF Physical AI Security Framework 12 domains · 41 controls Security and assurance framework for AI systems whose decisions can produce physical effects, covering sensing, control, actuation, safety interfaces, communications, autonomy and recovery. Final Publication v1.0

Selection guidance

Use GAISSF when establishing governance, controls and assurance. Use UAIF when recording and exchanging incident information. Use AI-IRF when designing and executing operational response capability. Use PAI-SF when AI decisions can cause or materially influence physical-world actions, movement, actuation, machinery or safety-relevant effects.