The sovereign AI control plane that governs production AI agents with in-line enforcement and produces the enforceable proof of compliance required by the EU AI Act.
Free, no commitment. The prospect submits a system, we return a measured attack rate and its evidence package.
Details3 months, pricing on request, credited 100% against the first subscription. Value is proven on the real environment.
Per governed environment, pricing on request. Exceeding the number of systems grows the contract automatically.
A continuously updated database of LLM and agentic AI vulnerabilities, tracked by our watch pipeline.
Sources: NVD, GitHub advisories, research preprints and vendor bulletins.
The incidents we are built for are not break-ins. They are an agent doing something it was allowed to do, and should not have.
On a public agent bench we measure attack success at 0.85 direct against 0.00 shielded, with no measurable cost in legitimate work. Attacks are the measurable part. What is left is an agent acting inside its permissions and outside its mandate: the right file to the wrong partner, because a ticket asked for it. No detector tuned on jailbreak phrasing will ever see that one.
See the measurement →Identity says what an agent may reach. Nothing says what it does once it is there. The credential is granted legitimately, then used at machine speed, on paths nobody anticipated, long after the task that justified it.
See the two traffic planes →Policy is evaluated somewhere, the tool call happens somewhere else, a moment later. In that gap an agent acts on a permission it no longer holds, and two concurrent calls both pass a budget check only one should have passed.
See the boundary →Your agent refuses a customer, or sends a file to the wrong partner. Can you show an auditor what was allowed, by whom, and on what grounds? Article 12 of the EU AI Act asks exactly that.
Measure my exposure →