Add a tamper-proof evidence layer to your AI platform.
MCP Server, npm SDK, or REST API — pick your path.
High-risk AI systems must maintain execution logs and transparency reports. Chatbots, automated decisions — all in scope.
"Prove what your AI told the customer" — auditors are already asking. Manual logs won't cut it.
AI agents execute workflows autonomously. Every action needs a cryptographic proof trail — not just a log line.
Choose the path that fits your AI platform. Every path delivers the same result: AI execution → hash record → verifiable proof.
AI agents call directly
Claude, Cursor, VS Code — any MCP-compatible AI client calls proof_record and proof_verify directly.
Node.js / TypeScript
Create DPUs and verify chains directly from your backend. Zero dependency, TypeScript native.
Any language, HTTP call
Python, Java, Go — one HTTP call from any stack. Bearer token auth, JSON response.
Standard MCP tools that any AI agent can call directly. Streamable HTTP protocol, session-based auth.
proof_recordCreate DPU
AI execution → SHA-256 hash + timestamp → immutable chain record
proof_verifyVerify Record
Verify cryptographic integrity of a specific proof record
proof_chain_verifyVerify Chain
Verify entire hash chain continuity and integrity for a domain
proof_getGet Details
Retrieve full details including metadata, governance level, and compliance info
proof_export_jsonldExport JSON-LD
Export as JSON-LD v2.0 document conforming to Cronozen Evidence Ontology
proof_public_verifyPublic Verify
Anyone can verify proof integrity without authentication — zero trust
Every time an AI agent executes a customer-facing action — card issuance, booking, data change — Proof Layer records it automatically.
Instant proof of "what the AI told the customer" for auditors
RPA, workflow automation, AI document generation — attach tamper-proof evidence to every automated decision.
Transparent proof of "why this automation ran this way" for your customers
AI-powered risk assessment, loan approval, fraud detection — regulated industries need cryptographic audit trails, not log files.
SOC2 and regulatory audit — pass with cryptographic evidence
Cryptographic hash on every AI execution record
Policy → Evidence → Human Review → Risk Threshold → Dual Approval
Cronozen Evidence Ontology — submit to auditors instantly
3 verticals running in production with zero audit findings
What AI governance means to each team in your organization.
An AI governance engine that enforces policy in code and persists every approval and denial as data.
A system that pre-validates the legality of AI decisions and auto-generates post-hoc evidence.
Infrastructure that lets you use AI safely while proving accountability in 2 minutes during disputes.
A transparent system that governs every AI use by policy, ready to respond instantly to audit requests.
Essential infrastructure for the AI era. The only platform that makes accountable AI possible.
Open-source core. Managed cloud when you need it.
Open Source
Managed by Cronozen
Managed by Cronozen
On-premise or Cloud
MCP integration in 1-2 days. SDK install in 5 minutes.
Prove everything your AI executes.