Verifiable Execution Infrastructure for AI Systems
NexArt turns AI executions into Certified Execution Records: cryptographically verifiable artifacts that prove exactly what ran.
The Problem: Logs Are Not Proof
AI systems take actions, call tools, and trigger workflows. Logs can describe what happened. They cannot prove it.
Mutable logs — Logs can be edited, deleted, or fabricated after execution. They record intent, not proof.
Opaque model calls — Inputs, parameters, and outputs are rarely bound together. There is no verifiable link between what was requested and what was returned.
No third-party verification — Without cryptographic evidence at the execution layer, trust depends entirely on the operator.
The Solution: Cryptographic Proof at the Execution Layer
Cryptographic binding — A SHA-256 hash over canonicalized fields seals inputs, parameters, and outputs into one tamper-evident structure.
Node attestation — Independent nodes verify record integrity and issue Ed25519-signed receipts that can be confirmed offline.
Zero-trust verification — Anyone can recompute the hash and check integrity. No API key, no account, no trust in NexArt required.
Certified Execution Records
A CER binds inputs, parameters, outputs, and execution context into a single tamper-evident artifact.
Certificate hash — SHA-256 over canonicalized fields. Any modification to a protected field invalidates the hash.
Full execution context — Inputs, parameters, outputs, tool calls, and context signals in a single bound artifact.
Attestation receipt — Ed25519-signed proof from an independent node that observed and attested to the record.
Offline verification — Recompute, compare, confirm. No network call, no dependency on NexArt infrastructure.
How It Works
Capture — Execution context recorded at runtime.
Canonicalize — Fields normalized to a deterministic byte sequence.
Bind — SHA-256 hash seals all protected fields.
Verify — Anyone recomputes and confirms independently.
Architecture: Built for Independent Verification
Deterministic formation — Same inputs produce the same certificateHash. Always.
Layered integrity — Execution evidence, attestation receipts, and verification envelopes each protect a distinct trust surface.
Zero-trust verification — Every layer can be checked without trusting the originating system.
Protocol standardization — CER format, attestation semantics, and envelope structure are defined at the protocol layer.
Use Cases
AI agents — Verifiable decision trails for autonomous workflows, tool calls, and chain-of-thought executions.
Workflow platforms — Certify multi-step pipelines so every stage produces independently verifiable evidence.
Governed systems — Audit-grade execution records for regulated industries, financial simulations, and compliance-sensitive decisions.
Reproducible research — Publish computations with cryptographic proof that results can be independently confirmed.