q52 NIST AI RMF Assessment

Comprehensive AI risk management assessment aligned with NIST AI 100-1 — know your risk posture before regulators do.

AI Security Assessment

NIST AI 100-1 • Risk Management • Compliance

AI Risk Management
Assessment

Assess your AI risk posture against the NIST AI Risk Management Framework before regulators, auditors, or incidents force the conversation.

  • All 72 NIST AI RMF Core subcategories — Govern, Map, Measure, Manage
  • Evidence-based validation by AI Consultant
  • Maturity scoring aligned with NIST CSF tiers
  • POAM generation with prioritized remediation roadmap

The Standard for AI Risk Management

The NIST AI Risk Management Framework (AI 100-1) is the authoritative standard for managing AI risks across the lifecycle. Federal agencies, regulated industries, and forward-thinking enterprises are adopting it as the baseline. This assessment tells you where you stand.

Four NIST Core Functions

GV

Govern

Policies, accountability structures, workforce diversity, organizational culture, stakeholder engagement, and third-party risk management. 19 controls covering the governance foundation everything else depends on.

MP

Map

Context and purpose documentation, task definition, knowledge limits, benefits and costs analysis, risk mapping, and impact assessment. 18 controls that establish what your AI systems do and what can go wrong.

MS

Measure

Risk metrics, TEVV (test, evaluation, verification, validation), production monitoring, bias testing, privacy, security, explainability, and environmental impact. 22 controls for quantifying and tracking AI risk.

MG

Manage

Risk prioritization, treatment planning, incident response, third-party monitoring, deactivation mechanisms, and post-deployment communication. 13 controls for actively managing identified risks.

What You Get

  • NIST AI RMF Maturity Score — overall and per-function maturity aligned with NIST CSF tiers (Partial, Risk-Informed, Repeatable, Adaptive)
  • Evidence-based validation — AI Consultant analyzes uploaded documentation against your self-reported responses
  • Comprehensive report — control-by-control walkthrough with maturity levels and NIST Playbook guidance
  • Plan of Action & Milestones (POAM) — prioritized initiatives targeting the next maturity level for each control
  • Direct NIST links — every control links to the official NIST AI RMF Playbook
  • CSV exports — for integration with GRC platforms and audit workflows

How It Works

01

Subscribe

One plan, full coverage. All 72 NIST AI RMF controls. Access opens immediately through the q52 Client Portal.

02

Assess

Work through Govern, Map, Measure, and Manage. Upload evidence — policies, risk assessments, test results, audit reports. The AI Consultant validates in real time.

03

Review

Receive your maturity score with per-function breakdowns, evidence gaps, risk flags, and a generated POAM with prioritized remediation steps.

04

Act

Execute your POAM. Reassess quarterly to track progress. Use findings for regulatory preparedness, board reporting, and vendor due diligence.

Who This Is For

  • Federal contractors — demonstrate AI risk management compliance for government procurement
  • Regulated industries — healthcare, financial services, insurance preparing for AI-specific regulation
  • Enterprise AI programs — establish governance baselines before scaling AI deployment
  • Risk & compliance teams — integrate NIST AI RMF into existing GRC frameworks
  • Boards & executives — evidence-based AI risk reporting for fiduciary oversight

Pricing

$1,499/year

  • All 72 NIST AI RMF Core controls
  • Unlimited assessments and reassessments
  • AI Consultant evidence validation
  • Executive, comprehensive, and POAM reports
  • CSV exports for GRC integration
  • Direct links to NIST AI RMF Playbook guidance
  • Organization profile and maturity tracking

For enterprise deployments or consulting engagements, contact us.

Ready to assess your AI risk management maturity? Start through the q52 Client Portal.

About us

q52 is an AI strategy firm built for organizations that need reliability, not theatrics. We focus on the hard parts of AI—training data, intelligence management, systems integration, governance, and security—because those foundations determine whether anything works in production. Our approach starts with understanding how your people think, decide, and operate, then designing AI systems that fit those realities. We cut through noise, identify what’s actually required, and build frameworks your teams can trust and sustain.


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