AI Agents

Trust intelligence for agent reliability, execution quality, autonomy boundaries, and repeated operational drift.

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Common trust breakdowns in AI agents

These are the breakdowns people usually recognize first when trust starts slipping across execution, reliability, autonomy, and control.

Execution failures

An agent is delegated work, but the workflow fails materially or the task does not complete in the expected way.

Reliability drift

The quality of the agent’s behavior degrades over repeated use, even though the underlying task expectations remain stable.

Unauthorized actions

The agent acts beyond the intended approval boundary, creating friction around autonomy, control, or safety.

Instruction deviation concerns

The agent appears to move away from the user’s intended instructions, despite having enough context to stay aligned.

Watched identities in AI agents

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