AuthRAI issues short-lived, task-scoped tokens your AI agents use instead of permanent credentials — so one jailbreak or leaked env var can't drain your database, your Stripe account, or your users' data.
Token issued, verified, and revoked — in under one second.
The problem
Most teams give their AI agents the same credentials as a trusted engineer. One prompt injection. One leaked container. Game over.
How it works
One API call. AuthRAI generates an Ed25519 keypair and records the agent's identity, owner, and capability envelope.
Before each task, the agent requests a token specifying exactly what it needs. Policies enforced at issuance time.
Downstream services verify in <2ms without a DB lookup. Wrong scope, expired, or revoked — denied instantly.
Features
Tokens auto-expire in seconds to hours. No standing credentials in memory, ever.
Allow/deny/throttle rules with wildcard scope matching. Violations blocked and logged in real-time.
SHA-256 hash-chained event log. Every issuance, denial, and revocation recorded immutably.
Agents can sub-delegate to child agents with narrower scope. Max depth enforced.
Instant Slack or HTTP alerts when tokens are denied, used outside hours, or revoked.
Invite engineers, set owner/admin/viewer roles. Full audit trail of who issued what.
Rate limits per agent, per scope, per time window. Burst protection built in.
Python SDK. Works in LangChain, AutoGen, CrewAI, or any custom agent. Async support.
Works with your stack
What teams say
"We had a LangChain agent with full database write access for six months. After AuthRAI, our blast radius is a 5-minute read-only window."
"The policy engine alone saved us from shipping a feature that would have given every agent access to billing data. Caught it before prod."
"Onboarding took 20 minutes. The SDK is clean, the dashboard is clear, and now we can show compliance our agent security posture."
14 days free. No credit card. Setup in under 20 minutes.
Start securing your agents