AI governance · For AI-native companies
AI governance for companies whose product is the model.
ISO 42001 and the NIST AI Risk Management Framework, run as a continuous program — model inventory, risk and controls tied to the systems that train and serve your models, not a policy you wrote once and filed.
The way this usually goes
AI governance frameworks are new, and generic GRC tools treat them as a checklist bolted onto a security program.
Your models, training data and providers change constantly — a static AI policy is out of date the week you write it.
Enterprise buyers and regulators increasingly ask how you govern AI, and 'we take it seriously' doesn't survive the question.
Who it's for
One system, every stakeholder
ML & engineering
Governance that meets your model and data pipelines where they run, over the systems you already use.
Security & CISO
AI risk managed in the same register as everything else — model, data and vendor exposure in one place.
Compliance & legal
ISO 42001 and NIST AI RMF mapped to controls and evidence, ready for the customers and regulators asking about your AI.
Leadership
A defensible AI governance story for enterprise buyers and the EU AI Act era.
How it works
What Noru does instead
01
ISO 42001 and NIST AI RMF, built in
Both frameworks ship as first-class control sets, mapped against the same evidence base as your security and privacy program.
- ISO 42001 AI management system controls
- NIST AI RMF — govern, map, measure, manage
- Mapped alongside ISO 27001 and SOC 2, evidence reused
02
Tied to the systems that build the model
Controls connect to your training pipelines, data sources and serving infrastructure — governance grounded in how the model is actually built and run.
- Model and dataset inventory from connected systems
- Data lineage shared with your privacy data map
- Provider and model-vendor risk in the register
03
AI risk in one register
Model risks — bias, robustness, data provenance, third-party models — live in the same risk register as security and vendor risk, scored and tracked to treatment.
- AI-specific risks scored next to everything else
- Impact assessments for high-risk model use
- Treatments tracked from finding to resolution
04
Provable to buyers and regulators
Your AI governance posture publishes as live proof — ready for enterprise security reviews and the EU AI Act conversation.
- Framework status from your live program
- Evidence on demand for AI due diligence
- Governs your own use of AI inside Noru, too
What's included
Platform modules working together
This solution runs on the same system of record as everything else — add modules later without re-platforming.
Controls
Implement once, satisfy many
One control library, mapped across ISO 27001, SOC 2, GDPR and 20+ frameworks — the same evidence reused everywhere.
Risk Register
Know your risk before anyone asks
A live register linked to security findings, controls and treatments — not a yearly workshop artifact.
Policies
Keep every policy acknowledged
AI-assisted drafting, versioning, approvals and acknowledgements, mapped to the controls they satisfy.
Privacy Automation
Map every data flow, continuously
Data maps, records of processing and impact assessments derived from the systems that hold the data and enriched by AI.
Works with
- more
Request a demo
See it on your own data.
A walkthrough tailored to this use case, with your questions answered by practitioners.
- 45 minutes, tailored to the frameworks and use cases you care about
- Answers from practitioners, not a sales script
- Leave with a concrete rollout plan — or a clear no-fit
FAQ
Frequently asked questions
Which AI frameworks does Noru support?
ISO 42001 (AI management systems) and the NIST AI Risk Management Framework, mapped against the same control library as your security and privacy program so evidence is reused across all of them.
We're an AI company, not a typical SaaS. Does this fit?
That's exactly who it's for. Controls connect to your training pipelines, datasets and serving infrastructure, and AI-specific risks — bias, robustness, provenance, third-party models — live in the same register as the rest of your program.
Does this help with the EU AI Act?
ISO 42001 and NIST AI RMF give you the management-system and risk foundation buyers and regulators expect, with impact assessments for high-risk use and live evidence to back the conversation. We track the AI Act landscape as obligations firm up.
Can it govern our use of AI as well as our AI products?
Yes. The same framework covers AI you build and AI you adopt — including, transparently, the AI inside Noru itself.