Third-Party Assurance

Third-party assurance is the practice of having an independent outside party review, test, or certify an AI system, vendor, or internal control, and report whether it meets stated standards. For enterprise AI governance, it gives boards, regulators, and customers evidence that claims about fairness, security, or data handling were checked by someone other than the company making them. Common forms include independent audits, certification against recognized frameworks, and attestation reports that a buyer can request from an AI vendor before signing a contract.

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Corporate PolicyGlobal2026-10-08

Arena's $3.1B Valuation Signals Third-Party AI Evaluation as a Vendor Due Diligence Anchor

Arena, which began as a UC Berkeley research project, has raised $200 million in a Series B round at a $3.1 billion valuation. The company sells AI evaluation products that use real human feedback rather than fixed tests. It has also launched an alignment leaderboard that scores models on behaviors including unauthorized actions and deceptive task completion. Both products address a recognized gap in enterprise model risk programs: static benchmarks can be manipulated by model developers.

AI evaluation alignment benchmarking model risk vendor due diligence third-party assurance Arena