AI Agent Auditor
FAQ
Find your starting point and get more from our guides.
What does an AI-agent audit examine?
An audit can examine an agent's behavior, reliability, observability, safety controls, and fit for its intended use. The scope depends on the system and the risks being considered.
How should I compare agent evaluation tools?
Start with the behaviors and risks you need to assess, then compare tools by their evaluation methods, observability, integrations, and limitations. Check current documentation to confirm a tool fits your environment.
What is agent observability?
Agent observability is the ability to inspect relevant activity and outcomes, such as the steps an agent takes and how it uses tools. It can help teams investigate behavior and identify issues.
What safety and governance questions matter?
Consider whether responsibilities, oversight, and risk controls are clear, and how the system's behavior can be reviewed. The right questions depend on the agent's use and potential impact.
How can I choose an evaluation approach?
Define the intended tasks and the outcomes that would count as success or failure, then choose methods suited to those criteria. Include relevant edge cases and risks in the evaluation plan.