AI Agent Governance

AI agent governance provides identity, access control, and safety mechanisms for autonomous AI systems. TigerAccess gives each AI agent a cryptographic identity with embedded safety controls including rate limits, action budgets, and circuit breakers.

AI agents are autonomous and can take unexpected actions. Unlike predictable service accounts, agents need additional safety controls: rate limits prevent runaway operations, action budgets limit total operations, and circuit breakers can automatically intervene.

Agent certificates include rate limits (requests/second), action budgets (max operations per session), resource scopes (explicit allowlists), and circuit breaker thresholds. These controls are cryptographically enforced and cannot be bypassed.

Circuit breakers monitor agent behavior in real-time. If an agent exhibits anomalous behavior (unusual access patterns, excessive operations, or scope violations), the circuit breaker can automatically revoke the agent's certificate.

Yes, TigerAccess supports human-in-the-loop workflows for AI agents. Agents can request access that requires human approval, and sensitive operations can be configured to require human confirmation before execution.

All AI agent actions are logged with full context including the operation, resource, reason (required), and outcome. You can search and analyze agent activity, generate reports, and correlate agent actions with business outcomes.