Guardrails creates a tamper-proof, blockchain-anchored record of every AI call your application makes. One line of code. No infrastructure changes.
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Who needs Guardrails?
Building a web app, a Python service, an Android or iOS app — anything that makes API calls to Claude, GPT, or another major AI provider? Guardrails drops in without touching your stack. Point your client at our proxy and every API call gets captured, encrypted & cryptographically signed by two unique keys. The signed fingerprint is anchored to our Verilink'ed blockchain, and the encrypted prompt is stored on our secure servers for later review — giving you a tamper-proof record to fall back on if a decision is ever questioned.
If your business leans on AI for real decisions — triaging patients, reviewing contracts, approving claims, advising customers — you need permanent, unchangeable proof of exactly what the AI said and when. So if something goes wrong, you can show it wasn't on you.
What we do
Guardrails sits invisibly between your app and your AI provider — sealing every interaction in a tamper-proof record.
Point your existing Anthropic or OpenAI client at our Guardrails proxy URL and add three headers — your audit key, your provider key, and an actor ID. That's the entire integration. No SDKs to install, no code to rewrite. Every AI request now flows through us — invisibly, with under 50ms added latency.
We capture the full request, response, and reasoning trace, then create a SHA-256 fingerprint — a unique seal. It's dual-signed with your private key and ours. Change a single character later and the seal shatters.
Every 30 seconds we batch 500 sealed records into a Merkle tree and commit a single root to Verilink'ed — our append-only blockchain. Each block locks the one before it. Tamper with history and the entire chain visibly breaks.
Share a public proof link with a regulator. They see hash matched, signatures valid, block confirmed — no login, no trust required. The content of your AI calls stays encrypted and private. Only the proof is public.
“Guardrails is the Divine Shieldbetween your AI and your liability.”
What teams say
“We needed to show auditors exactly what our AI told patients, word for word, eighteen months later. Guardrails was the only thing we found that made that provable instead of just logged.”
Dr. Anya Petrova
Chief Compliance Officer, Meridian Health Partners
“Dropped it in front of our existing OpenAI client and never thought about it again until our SOC 2 auditor asked for an audit trail — that's the whole pitch, and it held up.”
Marcus Webb
VP Engineering, Northbridge Capital
“Every other "AI audit log" we evaluated was just a database table someone could edit. The blockchain anchoring is the difference between a log and actual proof.”
Sarah Chen
General Counsel, Solace Legal
HIPAA, EU AI Act, Joint Commission, Texas TRAIGA — they all point at the same requirement: an audit trail of AI decisions. None specify how to build it. Guardrails is the how.
| Framework | Status | Requirement |
|---|---|---|
| HIPAA Security Rule | Mandatory | Audit controls for PHI-touching AI |
| Joint Commission + CHAI | In force | Audit trail as 1 of 7 governance areas |
| EU AI Act | Aug 2026 | Transparency + human oversight |
| Texas TRAIGA | In force | Document AI-assisted clinical decisions |
| California AB 3030 | In force | Patient disclosure for AI content |