AI Guardrails That Can't Be Bypassed Or Ignored.
Every other AI guardrail is itself an AI — and AI can be jailbroken, prompt-injected, or reasoned around. PreFlight replaces model judgment with formal verification. Every agent action gets a cryptographic proof in under a second.
AI agents don't just assist anymore.
They transact, approve, and spend autonomously, at machine speed, with no human watching.
A vulnerability that steals $1,000 from a human-speed system steals $10 million from a machine-speed one. The exploit is identical. Only the clock changes.
Most AI guardrails and observability platforms are reactive — they tell you what might have gone wrong, after it has. LLM-based safety judges are built from the same models they're meant to check.
PreFlight is proactive — mathematical proof every rule was followed, before the action runs. Every decision ships with a cryptographic proof.
How PreFlight works.
Agent proposes an action
Rules compile to a formal constraint problem
Solver returns SAT (allowed) or UNSAT (blocked)
Cryptographic proof - verifiable in under one second, even for thousands of guardrail calls
Formal verification, not model judgment. Sub-second latency. Tamper-evident proofs.
ICME PreFlight.
Watch an agent action get evaluated — SAT or UNSAT, in under one second, with the cryptographic proof hash attached.
Used by the teams who can't afford an unverifiable guardrail.
Security and platform engineers run PreFlight in front of their autonomous agents — the engineering teams shipping agentic systems that transact, approve, and spend in production.