AI Agent Audit

An AI agent audit is an independent review of a product that runs LLM agents in production. Vibecop examines the prompt and context pipeline, tool permissions, memory and retrieval, output handling, cost and rate limits, evaluation and failure behaviour, and reports where an agent can be manipulated, can act beyond its intended authority, or can fail without anyone noticing.

What does an AI agent audit check?

  • Prompt injection

    Whether untrusted content — user input, web pages, documents, tool output — can redirect the agent's behaviour.

  • Tool permissions

    What each tool can reach, whether the scope is least-privilege, and which calls should require confirmation.

  • Authorization

    Whether the agent acts with the end user's permissions or with a shared privileged identity.

  • Context handling

    What enters the context window, whose data it belongs to, and how leakage between users is prevented.

  • Memory and retrieval

    Persistence, tenant scoping in the vector store, and poisoning of stored context.

  • Output validation

    Model output parsed, rendered, or executed downstream without being checked or escaped.

  • Loop control

    Step limits, recursion guards, and stopping conditions for an agent that will not converge.

  • Cost controls

    Per-user and global spend limits, token budgets, and the runaway loop that bills all night.

  • Rate and quota

    Provider limits, backoff, and behaviour when the model returns 429 mid-task.

  • Failure behaviour

    What the agent does on a tool error or timeout, and whether it fails closed or invents a result.

  • Determinism

    Idempotency of side-effecting tools, and duplicate actions on retry.

  • Evaluation

    Whether there is any regression suite, and whether a prompt change can be shipped safely.

  • Observability

    Trace capture for runs, tool calls, and token spend, sufficient to reconstruct an incident.

  • Data retention

    What is sent to the provider, what is logged, retention terms, and PII in prompts.

  • Human oversight

    Where a person approves an irreversible action, and whether that gate can be bypassed.

See how an audit runs

Other audits

Each audit answers a different question. Most engagements combine two or three.

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AI builds the product. Vibecop makes sure it won’t break in production, fail under scale, or expose your users to risk. One audit. Fewer expensive surprises.