AI governance & compliance
Your staff already use AI. Now govern it.
Somewhere in your business, someone is pasting client data into an AI tool nobody approved. Lavawall® detects the AI already in your environment from the security and IT data you have, recommends the right framework automatically, and generates the matching policies and disclosures. Five frameworks share one control set, and every step is written in plain language anyone can use.
Start with the GRC Wizard See GRC & compliance
NIST AI RMF · ISO/IEC 42001 · EU AI Act readiness · OWASP Top 10 for LLMs · Canadian AI governance
Five frameworks, one control set
Find the shadow AI first
Built from the security and IT data you already have, Lavawall detects the AI tools in use across your environment, including the ones nobody logged. You can't govern what you can't see, so this is where governance actually starts.
The right framework, recommended for you
Based on what it finds and how you operate, Lavawall recommends the framework that fits: the NIST AI Risk Management Framework, ISO/IEC 42001, EU AI Act readiness, the OWASP Top 10 for LLM Applications, or Canadian AI governance. No guessing which standard applies to you.
Satisfy one control, cover many
All five frameworks share a single control set. A control you turn on typically counts across NIST, ISO, EU, OWASP, and Canadian expectations at once, so you cover them all without running five separate projects.
Policies and disclosures, generated
Lavawall generates the AI policies your team needs and the disclosures your clients and regulators expect, matched to the framework you're adopting and kept current, not copied from a stale template.
Plain language anyone can use
Every step is explained in language a non-specialist can follow, so a small team can stand up credible AI governance without hiring an expert or decoding a standard line by line.
A live view of where you stand
See which AI controls are in place, which are open, and how to close them, per framework, so AI governance becomes an ongoing score instead of a one-time scramble.
The five frameworks you can adopt
NIST AI RMF
The US AI Risk Management Framework for identifying, measuring, and managing AI risk across its lifecycle.
ISO/IEC 42001
The international standard for an AI management system, the ISO 27001 equivalent for AI.
EU AI Act readiness
Prepare for the risk-tiered obligations of the EU AI Act before they apply to your use of AI.
OWASP Top 10 for LLM Applications
The security baseline for anyone building or deploying large-language-model features.
Canadian AI governance
Align with Canada's direction on responsible and accountable AI use.
One shared control set
Map once and progress on every framework above at the same time.
Works with the rest of the platform
Shadow IT discovery
See the unsanctioned apps and AI tools in use before they become an incident.
Learn more →GRC & compliance automation
Run your AI frameworks alongside your security and privacy frameworks in one engine.
Learn more →Trust Centre
Publish your responsible-AI commitments where prospects and clients can see them.
Learn more →Common questions
- Which AI frameworks does Lavawall support?
- Five: the NIST AI Risk Management Framework, ISO/IEC 42001, EU AI Act readiness, the OWASP Top 10 for LLM Applications, and Canadian AI governance. They share one underlying control set, so a control you satisfy once counts across every framework it maps to.
- How does Lavawall know which framework I need?
- Lavawall detects the AI tools already in use across your connected security and IT tools, then recommends the framework that fits your situation automatically. You are not left guessing which standard applies.
- What is shadow AI and why does it matter?
- Shadow AI is the AI tools your staff adopt on their own, without review, often pasting company or client data into them. It creates data-leakage and compliance risk you cannot see. Lavawall surfaces the AI already in your environment so you can govern it.
- Do I need an AI expert to use this?
- No. Lavawall recommends the right framework, generates the matching policies and disclosures, and explains each step in plain language, so a small team can stand up credible AI governance without hiring a specialist.
- Does adopting one framework help with the others?
- Yes. Because all five share one control set, progress on one framework advances the rest at the same time.