Find out in minutes. Point MILLENNIUMS.AI at your app — no dashboards to learn, no attack scripts to write — and see exactly what happens, from first probe to a working fix.
A staging URL, a repo, or an API endpoint. Register it once and scan on demand, or let it run on every pull request and once a week.
Autonomous agents probe the AI attack surface — prompt injection, tool and agent abuse, data leakage, RAG flaws, runaway cost — in an isolated sandbox that's destroyed when the scan ends. Nothing to run, nothing to watch.
Not a CVSS guess — an attack that actually fired, with the exact steps to reproduce it. Unproven leads are held in a separate review bucket, so you only triage what's real.
Each finding comes with a plain fix and, when you want it, a draft PR your engineers review before it lands. Nothing merges on its own.
A scoped scan runs on each AI-surface pull request and blocks the merge on a proven, net-new vulnerability. Recurring findings are de-duplicated, so the pipeline stays quiet until something real appears.
Export findings mapped to the standard you answer to — OWASP LLM, PCI DSS 4.0, or DORA testing — with a model card and reproducible proof attached. Run it on-prem with your own key when data can't leave.
The engine tests every category on the industry-standard AI-security checklist. The full matrix is published live on the Trust Center. See it →
Two scans free. You'll have a real, provable finding in minutes.