Verifiable AI inference

AI agents are increasingly being used to review code, summarize documents, analyze contracts, and answer questions. In many cases, the result itself matters less than its authenticity. Suppose Alice wants to share an AI-generated security review with Bob. Bob wants to know that the review is exactly what a particular agent produced for a particular input. Not something similar, not an edited version, and not a fabricated screenshot. In other words, Bob wants evidence that output = Agent(input) for a specific agent, model version, configuration, and input, without running the same inputs, and spending tokens and time. Today, there is no standard way to prove this. Trusted attestation The simplest solution is to rely on a trusted authority. An inference service—or an independent auditor—runs the agent and signs the result. The certificate could contain: Agent: OpenAI Code Security Review Model: GPT-5.5 Agent version: v3 Input hash: SHA256(...) Output hash: SHA256(...) Timestamp: ...…