Continuous, self-hosted monitoring of AI usage across many systems, translated into control-language evidence your assessors and authorizing officials can use. Designed to support RMF and audit workflows, on your infrastructure, including disconnected networks.
Every posture is crosswalked to controls and techniques, so findings arrive in the language of your control set.
Export assessment-results as OSCAL for ingestion and adaptation into eMASS and other GRC tooling.
A hash-chained audit log with optional append-only shipping to an external syslog or collector.
Know which machines are reporting, stale, or silent, and which lack a policy baseline.
Preview how a baseline change would re-score existing findings before you commit it.
Push findings outbound to ServiceNow security incident or GRC, with a dry-run mode by default.
For DoD, federal, and large enterprise deployments we can walk through architecture, control mapping, and evidence workflows against your specific authorization boundary.
Request a briefing