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MAIP receipts capture every model call, chain execution, and agent action — creating an immutable evidence trail that auditors, regulators, and your team can verify independently.
Large language models confidently fabricate facts, citations, and data. Without cryptographic evidence of source attribution, hallucinated outputs reach production unchecked.
Models degrade silently after deployment. Performance shifts go undetected for weeks, producing unreliable outputs that erode trust and trigger compliance violations.
Regulators demand explainability and auditability for AI decisions. Without verifiable receipts, organizations cannot prove which model produced which output or when.
Every inference request generates a cryptographically signed receipt capturing input hash, model version, parameters, and output fingerprint with sub-40ms latency.
Multi-step LLM chains and RAG pipelines produce linked receipt chains. Trace reasoning from first retrieval through every transformation to final output.
Autonomous agents produce signed action receipts for every tool call, API request, and decision point. Full accountability at every step of agent execution.
Audit every AI output with cryptographic proof of which model, version, and input produced it. Meet SOC 2, ISO 27001, and EU AI Act requirements automatically.
Track which model produced what, when it was deployed, and who approved it. Full lifecycle visibility from training data to production inference.
Receipts for every autonomous agent action — tool calls, API requests, and decision points. Know exactly what your agents did and why.
Truthlocks provides native integrations for LangChain, LlamaIndex, OpenAI, Anthropic, AWS Bedrock, Hugging Face, and any custom pipeline via our REST API. Our middleware wraps around your existing inference calls with zero changes to your model logic.
Receipt generation adds less than 40ms of latency per model call. Receipts are generated asynchronously by default, so the overhead on your critical path is effectively zero. For high-throughput pipelines, batch receipt mode processes millions of verifications with constant memory.
Yes. Every receipt includes a self-contained proof bundle with the Ed25519 signature, Merkle inclusion proof, and all metadata needed for independent verification. You can verify receipts in air-gapped environments with our offline verification library.
Start capturing cryptographic evidence for every AI decision your systems make.