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Enterprise AI agent security
AI agent runtime security
Runtime security for agents is authorization at action time: allow, block, or audit when the agent attempts an operation. Discovery and governance tell you what should be true; runtime enforcement makes it true on the endpoint.
Access model
Permissions attach to autonomous actor context — not copied from human RBAC.
Autonomous actor
Distinct identity
1stProtect
Per-action authorization
Resource scope
Allow · block · audit
Prove exposure in your environment
The AI Agent Exposure Assessment runs Audit Mode on a pilot developer group for fourteen days and delivers evidence your security leadership can act on — then you enforce what matters.
Get your exposure reportRuntime vs governance
- •Governance platforms inventory agents and publish policy.
- •Runtime enforcement blocks unauthorized operations before they complete.
- •1stProtect focuses on the execution layer — narrow and hard.
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