We prove what is exploitable, so you fix what matters.
Software is now written, wired and shipped by AI agents, and those agents are themselves part of your attack surface. MILLENNIUMS.AI exists to give security teams one map of that surface and evidence for every risk on it.
One connected surface needs one connected view.
Most security tooling scans one layer and hands you a list. But an AI agent, the repository it was built from, the cloud it runs in and the data it can reach are one connected system — and a list of findings cannot tell you which of them matter. So we start by building the map: every agent, repository, workload, identity, network route and data store, and the relationships between them.
From the map we inventory what you did not know you had, test what you point us at with autonomous penetration testing, and constrain what agents can reach. Then we help you close the gap — with evidence at every hop, mapped to the frameworks your auditor already uses, and fixes delivered as draft pull requests. We call the category an AI-native application protection platform (ANAPP).
A platform, not a point tool.
Each product writes what it learns back into the same graph, so the next one starts with more context than the last.
Four rules we will not trade away.
These are the same commitments as on our Trust Center, and they shape the product as much as any feature does.
Built to hand evidence to your auditor.
Findings and reports map to SOC 2, ISO 27001, ISO 42001, PCI DSS, HIPAA, NIST AI RMF, NIST CSF 2.0, the EU AI Act, and GDPR Articles 25 and 32. Mapping is evidence toward a control that your auditor assesses; it is not a certification, and we will not describe it as one.
Work with us.
Start a scan yourself, talk to us about your estate, or come build this with us.