Research prototype · RMF pre-adjudication

Governed RMF Copilot

AI-Assisted RMF Pre-Adjudication Platform

Artifact-centric analysis of draft SSPs and control implementation statements—confidence-scored findings, NIST SP 800-53 coverage metrics, source traceability, and mandatory human review before signed export.

SD Panthers LLC · PI Usman Qazi · Pre-adjudication · Not ATO automation

Human review required AI findings remain advisory Not ATO automation

Intended users

Advisory pre-adjudication for security and program staff — not a replacement for ISSOs, assessors, or authorizing officials.

ISSOs
ISSMs
RMF Assessors
Program Security Officers
Prototype Development Teams

How it works

Understand the workflow in under 10 seconds.

  1. Upload SSP
  2. Coverage analysis
  3. Evidence review
  4. Findings
  5. Human attestation
  6. Export

Why findings matter

Pre-adjudication shifts deficiency discovery upstream — before formal assessor review.

Without pre-adjudication Assessor identifies deficiencies late — teams rework packages after formal review cycles begin.
With pre-adjudication Teams correct deficiencies before formal review — improving first-pass documentation quality.

Traceability chain: Finding → control (e.g. PS-3) → source paragraph → supporting evidence. Every finding shows why it exists — not just that a rule fired.

Upload draft RMF package

Upload a text-based SSP draft or analyze the included sample. The engine extracts control narratives, applies NIST 800-53 rules, and returns traceable findings.

Download sample

Example packages below use the same analysis engine with preset labels.

Example packages

Prototype demonstration for AI-assisted RMF pre-adjudication. Uses synthetic RMF artifacts only. No authorization decisions are made by the system. Human attestation required for all findings. Capability overview