Every Framework.One Set of Evidence.
Map every AI system to the obligations that apply to it, from data localisation to model risk, and hold one body of evidence that satisfies all of them at once — refreshed as the systems change, not assembled when someone asks.
Obligations follow your AI across borders.
Your AI does not live in one place. Tell us where it is trained, where it runs, and who uses it. We automatically determine which regulations apply, including data sovereignty, cross-border data transfer, and residency requirements—without relying on generic checklists.
From failed controls to actionable fixes.
Every alert includes technical evidence, impacted systems, responsible owners, and framework mappings so remediation is immediate.
and 36 more, re-evaluated on every sync.
and 6 more under this obligation.
Tracing the alert’s lineage…
Compliance that scales across frameworks.
From AI regulations to security and governance standards, monitor every requirement continuously through a single set of controls and evidence.
Binding law. Prohibited practices, high-risk duties, transparency and GPAI — tracked article by article.
Cloud and AI control in one matrix, already mapped across the EU AI Act, ISO/IEC 42001 and NIST AI RMF.
The requirements for running an AI management system — and the one standard here an auditor can certify you against.
Voluntary, and the one most US programmes are written to — with the Generative AI Profile layered on top.
How risk management is actually applied to AI: where a model’s risk comes from, and what to do about each source.
Binding law. Prohibited practices, high-risk duties, transparency and GPAI — tracked article by article.
Cloud and AI control in one matrix, already mapped across the EU AI Act, ISO/IEC 42001 and NIST AI RMF.
The requirements for running an AI management system — and the one standard here an auditor can certify you against.
Voluntary, and the one most US programmes are written to — with the Generative AI Profile layered on top.
How risk management is actually applied to AI: where a model’s risk comes from, and what to do about each source.
From discovery to governance, in one continuous loop. Each stage feeds the next over the same estate, and the whole cycle re-runs itself the moment anything changes.
See It Run Against Your Own Frameworks.
Bring the frameworks you are held to. We will show you which obligations reach each AI system you run — geo-fenced data included — what is failing today, and the evidence that closes it.