NIST AI Risk Management Framework: Compliance That Scales
AI regulation isn’t just coming — it’s already here.
With the adoption of the NIST AI Risk Management Framework (AI RMF), U.S. organizations now have a structured, government-backed model for managing AI risks across governance, technical assessment, and oversight.
But aligning with all four NIST functions — Govern, Map, Measure, Manage — takes more than good intentions. It demands repeatable workflows, consistent documentation, and real-time visibility into your systems.
Praxi AI turns that complexity into clarity.
Why NIST AI RMF Matters
Adopted in early 2023, the NIST AI Risk Management Framework is becoming a cornerstone of responsible AI governance - not only in the public sector, but increasingly across insurance, finance, healthcare, and tech.
Though technically voluntary, its influence is already extending into:
Vendor procurement requirements
Regulatory expectations
Internal risk committees and audit reviews
What makes the NIST framework powerful is its balance of pragmatism and principle: it doesn’t dictate how you build AI - it guides you in building it responsibly. With functions spanning from Govern to Manage, it gives organizations a shared language and clear actions to reduce risk without stifling innovation.
But adoption brings challenges:
Most teams are juggling fragmented tools, inconsistent documentation, and unclear roles - which can lead to:
Unidentified model bias or drift
Incomplete system inventories
Poor audit-readiness
Lack of cross-functional accountability
Praxi AI operationalizes the NIST framework, turning high-level principles into concrete, trackable actions that slot directly into your existing workflows. It’s not about checking a box - it’s about building trust into every decision your AI makes.
How Praxi AI Supports NIST AI RMF Functions
Praxi’s prebuilt workflows make it simple to embed NIST’s four core functions into your AI lifecycle:
🏛 Govern
Establish accountability.
Automate role assignments, system inventories, governance policies, and approval workflows — all tracked in audit-ready logs.
🗺 Map
Understand system risk.
Auto-classify models by risk exposure, uncover gaps, and flag priority areas like bias, drift, or privacy sensitivity.
📐 Measure
Assess risk impact.
Leverage AI-powered tooling to evaluate performance, bias, fairness, and compliance - and benchmark results across models.
🔧 Manage
Act on insights.
Deploy real-time monitoring, enforce controls, and automatically generate documentation for external and internal stakeholders.
What Success Looks Like with Praxi AI
Metric
-Deployment Speed
-Bias Incident Reduction
-Time Saved on Risk Reviews
-Audit Documentation Coverage
-Stakeholder Confidence
“Praxi AI cut our AI risk review time in half - while giving us continuous, auditable oversight.”
Result
-Live in 2–4 weeks
-60% (avg. across clients)
-50%
-100% across Govern–Manage cycle
-Improved via real-time, shareable dashboards
Compliance Built for Real Workflows
Praxi AI slots into your existing architecture and grows with your operations.
Scan and classify systems at scale
Apply intelligent controls that match NIST standards
Monitor behaviors and trigger alerts in real time
Auto-generate logs and audit documentation on demand
> FAQs
How is Praxi different from other compliance tools?
Unlike general-purpose GRC tools, Praxi AI is built specifically for AI systems - with automated NIST-aligned workflows out of the box.
Does it integrate with our ML stack?
Yes. Praxi connects with TensorFlow, SageMaker, Azure ML, Snowflake, Jira, and more.
Do we need to customize everything?
No - templates and defaults are pre-configured. Customization is available, but not required to get started.
Which NIST functions are supported?
All four: Govern, Map, Measure, and Manage.
From Framework to Functionality
Most teams know the NIST framework. Fewer know how to actually implement it.
Praxi AI bridges the gap - with automation, oversight, and clarity.