Do you worry about $1.2B in AI liability?
If the property is trivial, software can check it — and why are you paying to check trivial properties? If it isn’t trivial, Rice’s theorem says nobody can. So we fixed the math.
press enter
Who did this make you think of? We’d love to know.
“To remain competitive in a zero-latency market, we must deploy high-velocity autonomous agents. But the legal liability of autonomous decisions was an existential risk. We needed a platform that wasn't just a standard login tool, but a structural risk discovery primitive. By investing in the Transformation Package, we gained the agent licenses and the structural audit to map our Trust Debt. It gives us the definitive, decidable proof we need to legally justify our compliance and secure meaningful human oversight.”
— Chief Risk Officer, Fortune 100 Organization Deploying Autonomous Systems
This is not an IAM.
Identity & Access Management
This is the hardware-verified signal that feeds into your IAM to make high-velocity decisions legally defensible.
Enter →Fractal Identity Access Management
IAM proves your agent could get in. It can't prove your agent stayed in its lane.
Stop adding reviewers to catch the drift — another model in the loop can't prove itself either. One layer can: the hardware the agent already runs on. Here it is, in one command:
Don't trust us — run it · free · one command
One install turns any agent into a bounded one. If you can use a chatbot, you can deploy it.
The agent proposes, the gate measures, you sign — the keys never enter the model's context. The receipt recomputes on your own machine to the same answer every time. Nothing to trust, nothing leaves your box.
After August 2026, your AI liability is uncapped. No carrier underwrites AI drift, and Article 14 of the EU AI Act makes the deployer pay for any autonomous decision it cannot physically trace. You cannot solve an uncapped number with skin in the game — staking your own balance sheet against agent drift is self-insurance under a newer word, and self-insurance scales by deploying less. It keeps the cars in the garage. The one thing that caps it is a record you can prove.
You're pushing thousands of automated decisions an hour to hit your efficiency targets. Your logs prove a write happened — not that the agent stayed in its lane when it did. If a regulator or a class-action ever looks under the hood, that gap is exactly what they find — and no bigger model closes it. Right now you're running on probabilistic hope.
The discovery maps where that exposure actually sits in your stack — the microsecond an agent writes to a record without a provable lane — before someone else maps it for you.
A scoped read of your live agents — you walk away with a board-ready figure for how exposed you actually are (your number, not a sales quote) and the method behind it. Nothing to implement.
or, before you book, prove it to yourself: run the 3.4σ proof · read the manual
the proof underneath — if you want the why
Why a checker can't be more software. Turing proved software can't decide whether another program halts; Rice generalized it to every non-trivial property of code. An auditor written in software shares one failure domain with the thing it audits — a broken mirror checking a broken mirror. That's why "just add another model to review it" never closes.
Why it has to drop to hardware. Ashby's law: a system only holds a stable path when an external substrate absorbs its excess freedom — the way a moving bicycle borrows the road it can't get from standing still. Software-only AI has no road. So we carve the permission into the silicon itself, where the verdict is a hardware register value the model cannot forge.
Why it prices. It isn't search, and it isn't a wager — it's O(1) reach-is-verify: one cache line, one coordinate, the same fetch the agent already made to act. Audited at 3.4σ separation, reproducible on your machine in 90 seconds. For the underwriter that's priceable per-inference; for the CTO, zero verification overhead on the revenue path; for the safety lead, nothing for the model to fool. See the audited proof →
License the floor · per agent you run
Running the gate is free — that is the lighthouse, and it stays lit. Paying is the bonus.
When you run agents in production under the patent, you take a license — one per agent you run, billed annually. The price is set, and it never goes up.
iamfim.com • Trust Physics • US Patent App. 19/637,714 — 36 claims, filed Apr 2, 2026 (Track One)