Agentic AI
Operational controls for agentic ai, with maturity levels, evidence requirements, and implementation guidance.
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6 controls matching filters
Agent Permission Boundaries
Define and enforce the tools, APIs, data sources, and actions each agent may use, granting only the minimum needed (least privilege).
Multi-Agent Trust Hierarchy
Define explicit rules for which AI agents can instruct, call on, or delegate authority to other agents in multi-agent systems.
Agent Environment Isolation
Run AI agents in isolated environments. Limit system, network, and data access to what their tasks require.
Agent and Non-Human Identity Management
Give each agent a distinct identity with narrowly limited credentials, access controls, and a defined lifecycle. Avoid shared service accounts and user identities.
Agent Behavior Monitoring and Anomaly Detection
Monitor deployed AI agents for behavioral drift, unusual use of connected tools, unexpected resource use, and actions outside their permitted scope.
Agentic AI Security Assessment, CBRN and Cyber Espionage
Assess AI agent deployments for high-consequence misuse, including chemical, biological, radiological, and nuclear facilitation or AI-orchestrated cyber espionage. Implement mitigations proportionate to identified risks.