FRAMEWORK / VERSION 1.0
GAISSF
Global AI Safety and Security Framework
Implementation-independent, evidence-based governance and assurance framework covering technical, organizational, human, regulatory and physical-AI risk.
9domains
59controls
52foundational
7physical-AI
Purpose and scope
Implementation-independent, evidence-based governance and assurance framework covering technical, organizational, human, regulatory and physical-AI risk.
Use the domain index below to navigate to domain-level summaries and individual control or requirement pages. Each detail page includes the available objective, control statement, validation approach, evidence expectations, mapping information and related records.
Domains and controls
D1
Model Integrity & Adversarial Robustness
D2Runtime Security & Adversarial Defense
D3Agentic Risk & Autonomous System Security
D4Supply Chain & Third-Party Ai Security
D5Content Safety & Output Integrity
D6Governance, Accountability & Human Oversight
D7Human & Societal Harms
D8Regulatory Alignment & Compliance
D9Physical Ai Safety
Using this publication
- Use the left navigation for the complete framework tree.
- Search by control ID, domain, evidence type or technical term.
- Use control-level links as stable citation targets.
- Consult the publication status notice before relying on the material operationally.
Launch announcement
Read the GAISSF Ecosystem launch announcement and Founder Note.