agent-governance

To enforce tool-level allowlists and blocklists for AI agent governance, define declarative policies that specify allowed and blocked tools, then apply them consistently to tool execution requests before any action is permitted.

Pre-flight intent classification is the process of detecting dangerous intent in user prompts, such as data exfiltration or privilege escalation attempts, before any tool is executed by the AI agent.

Rate limiting and trust scoring for multi-agent workflows are set up by tracking agent reliability over time with decay, ensuring sensitive operations require sustained good outcomes before execution is permitted.

Yes, you can create immutable audit trails by recording allowed, denied, and error events in an append-only log for every tool decision, providing accountability for compliance and debugging purposes.

Yes, this agent governance approach is designed for production systems that execute tools, handle risky prompts, and coordinate multi-agent delegations by applying content-policy checks and human-approval gates.

Trust-decay gating requires sustained good outcomes over time before permitting sensitive operations, meaning agents with inconsistent reliability may be blocked from executing critical tools despite intermittent successful actions.