1. Logs are not evidence
Vendor logs are mutable, unverifiable, and controlled by the same provider that produced the output. Courts, regulators, and auditors require independent, tamper-evident proof.
AI is becoming production infrastructure. But unlike networks, software, and financial systems, AI has no execution proof. Trust Receipts fix this.
Vendor logs are mutable, unverifiable, and controlled by the same provider that produced the output. Courts, regulators, and auditors require independent, tamper-evident proof.
They can be edited, fabricated, or misattributed. They do not prove what model was used, what policy was applied, who authorized the request, or whether the output was altered.
High-risk AI systems must produce traceable, verifiable, tamper-evident, policy-aware records of execution. Trust Receipts are the architecture built for all four.
As AI systems begin taking actions, making decisions, and triggering workflows, enterprises need proof instead of hope.
| Property | Meaning | Why It Matters |
|---|---|---|
| Integrity | Evidence cannot be modified without detection | Prevents retroactive alteration of records |
| Authenticity | The origin of a record can be verified | Establishes who or what generated an interaction |
| Non-Repudiation | Originators cannot plausibly deny creating a record | Prevents disputes over known interactions |
| Provenance | Context, timing, and system state are attested | Answers when and under what conditions an interaction occurred |
| Independent Verifiability | Verification does not require trusting a single party | Removes dependence on provider-controlled evidence |
Together these properties turn an interaction record from a log into evidence.
We already rely on cryptographic proof in every other critical system. AI is the last major execution layer without it. SONATE closes that gap.
Receipts are the accountability layer for autonomous systems.