The first AI agents you can prove.
You're being asked to put AI agents into production and, in the same breath, to prove they're under control. Runback is the first system that reproduces any agent decision, proves it to an auditor, and blocks what shouldn't ship — all inside your own perimeter. Here's why it's the choice you can still defend in ten years. Each point links to something you can check yourself.
- 01
First of its kind — and you can verify it
No other system reproduces an AI agent's decision deterministically — from the language runtime down to the exact retired instruction — and proves it. It took the systems field years to make deterministic replay work at all. Runback brings it to agents, and you don't take our word for it: every layer runs green in public, on every change.
Six layers, verified on every commit · public proof ↗ - 02
The record is yours — open, in your cloud, lasting
Every run becomes a signed, open-format, re-executable record, written to a store you own inside your own perimeter. The open-source core means you are never trapped in a vendor, and the evidence still stands up years later — through a model change, a framework change, or an audit.
Open and verify a run yourself · open a run → - 03
Ahead of the mandates already on the calendar
The EU AI Act requires high-risk systems to keep automatic event logs over their lifetime — enforceable 2 August 2026. APRA CPS 230 requires operational incidents to be recorded. Adopt now and you walk into the deadline ready, instead of scrambling after a finding.
EU AI Act, Article 12 · the law ↗ - 04
One control across every model and framework you run
GPT, Claude, Gemini, or your own — across LangGraph or anything else — governed by one system, with nothing leaving your cloud. You are not betting on a single lab; you sit above all of them. That is the position no model vendor and no framework can take.
Why we don't compete on models · the standard →
A decision you can stand behind.
The agents you deploy this year, you answer for next year — and the year after. The same system that reproduces a software agent today descends toward the autonomy of tomorrow, where reproducing what a system did is already law. Adopt the record once; defend it for a decade.
We cite a market figure only when we can source it, and we map to a control only when it is real — we removed a US model-risk citation from this site the moment the 2026 guidance excluded agentic AI. What we claim, we prove: in public, with cited law. When you put your name on a control, that discipline is what you're relying on.