A cryptographic decision record is a signed, tamper-evident receipt created at the exact moment an AI model produces an output. It contains the model version ha
A cryptographic decision record is a digitally signed receipt that proves exactly what an AI model decided at a specific moment in time. Unlike a log entry or database row, a cryptographic decision record cannot be altered, deleted, or backdated after creation. The mathematical properties of the cryptographic signature make any tampering immediately detectable by any third party with access to the verification key.
Each InferTrust™ decision record contains seven fields that together constitute a complete evidentiary snapshot of an AI inference:
A log entry is a row in a database. It can be edited, deleted, or overwritten by anyone with database access (or by a bug, or by a compromised system). A log entry has no mathematical proof that it was created at the time it claims, or that its contents have not been changed since creation. A cryptographic decision record has both. The signature binds the content to a specific moment and a specific device. Any modification breaks the signature and is immediately detectable.
The record is created and signed at the point of inference, inside the inference event, before any network transmission, before any UI rendering, before any application layer processes the output. This is the critical architectural difference. There is no gap between the decision and the record. The signed receipt is the first artifact that exists after the model computes its result. This eliminates the window during which conventional logging systems are vulnerable to modification.
Any party with access to the verification key can independently confirm that a decision record is authentic and unaltered. This includes internal auditors, external regulators, opposing counsel in litigation, and automated compliance systems. The verification does not require trust in the organization that created the record. The mathematics provide the assurance directly.