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Why Trust Receipts

Why AI needs non-repudiation.

AI is becoming production infrastructure. But unlike networks, software, and financial systems, AI has no execution proof. Trust Receipts fix this.

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.

2. Screenshots are weak evidence

Screenshots are readily disputed: they may show what was displayed, but they do not reliably establish system identity, policy state, provenance, or whether the record was later altered.

3. Regulation expects records

The EU AI Act's Article 12 requires high-risk AI systems to keep logs and records of operation. Trust Receipts are designed to map to those record-keeping requirements: traceable, verifiable, tamper-evident, and policy-aware.

4. Agentic AI requires cryptographic accountability

As AI systems begin taking actions, making decisions, and triggering workflows, enterprises need proof instead of hope.

The Requirements

Any evidence system for AI accountability must deliver these five properties.

PropertyMeaningWhy It Matters
IntegrityEvidence cannot be modified without detectionPrevents retroactive alteration of records
AuthenticityThe origin of a record can be verifiedEstablishes who or what generated an interaction
Non-RepudiationOriginators cannot plausibly deny creating a recordPrevents disputes over known interactions
ProvenanceContext, timing, and system state are attestedAnswers when and under what conditions an interaction occurred
Independent VerifiabilityVerification does not require trusting a single partyRemoves dependence on provider-controlled evidence

Together these properties turn an interaction record from a log into evidence.

The missing primitive

Non-repudiation is a solved problem everywhere except AI.

We already rely on cryptographic proof in every other critical system. AI is the last major execution layer without it. SONATE closes that gap.

We already use cryptographic proof for
  • TLS for network security
  • Code signing for software integrity
  • Digital signatures for transactions

Receipts are the accountability layer for autonomous systems.

A Trust Receipt is a compact, signed record containing prompt/response hashes, chain links (previous_hash), Ed25519 signature, agent/tenant context, and the exact policy result (including the six SONATE constitutional principle scores) at the moment of execution.

Courts, regulators, and enterprises need proof, not hope.

Trust Receipts turn AI execution into independently verifiable evidence.