Review Third-Party Audit

A third-party audit is a structured review of an AI system, organization, or control environment conducted by an outside party against defined criteria and evidence.

An external auditor examines claims, records, tests, and controls rather than relying only on the developer's own assessment. Scope and independence must be stated.

Outside review can reduce conflicts of interest and improve confidence, but only within the audit's scope, methods, evidence access, competence, and timing.

An independent firm evaluates an AI hiring system's governance, testing, access controls, and fairness evidence against an agreed audit program.

Third-party does not automatically mean independent, comprehensive, or trustworthy. Funding, scope limits, access, and standards matter.

Outside review helps only when its independence and scope are real.

* [[independent-verification|Independent Verification]] * [[ai-governance|AI Governance]] * [[due-diligence|Due Diligence]] * [[model-risk-management|Model Risk Management]] * [[adversarial-review|Adversarial Review]]

* [U.S. Government Accountability Office, Artificial Intelligence: An Accountability Framework for Federal Agencies and Other Entities](https://www.gao.gov/products/gao-21-519sp) — independent-assessment framework organized around governance, data, performance, and monitoring.

* Apply the separation test in [[independent-verification|Independent Verification]].