A research framework for the safety and security of agentic systems deployed in the real world, connecting design-time safeguards and runtime controls to the concrete failure modes agents exhibit once they take actions with external effects.
Tags
agentic AIsecuritysafetyframework
At a glance
Published
2025
Jurisdiction
Global
Category
Security and safeguards
Access
Public access
More in Security and safeguards
Related resources
Artificial Intelligence Risk Management Framework (AI RMF 1.0)
Standards and certifications • NIST
ISO/IEC 23053:2022 - Framework for AI systems using machine learning
Standards and certifications • ISO/IEC
NIST AI 100-1 Artificial Intelligence Risk Management Framework (AI RMF 1.0)
Governance frameworks • NIST
Build your AI governance program
VerifyWise helps you implement AI governance frameworks, track compliance, and manage risk across your AI systems.