regulAIt-LLM · Build your own
Build your own models and agents — and keep the record.
Build, evaluate and guardrail your own models and agents on your own data. The evaluation record is kept as evidence, so the work you did to make a system safe is the same work that proves it.
How it fits
One module, the same three moves
Every module in the suite speaks one compliance vocabulary and exports one evidence format. LLM runs as its own system — what it shares with the rest of the suite is the contract, not the runtime.
Connect
Read-only connectors into the systems that already hold the truth. No agents to deploy, no data to move.
- identity providers
- cloud & data platforms
- model gateways
- agent runtimes
Map
One inventory, mapped to the controls of every framework you answer to — once, not per audit.
- control library
- framework mappings
- policy engine
- ownership graph
Evidence
Each control collects its own proof continuously, timestamped and immutable, ready to export.
- evidence store
- attestation packs
- finding workflow
- audit exports
The rest of the suite
Six modules, one control plane
regulAIt-Authorized
Access reviews, entitlement drift and identity compliance across every system of record — humans and agents alike.
Access & identityregulAIt-Governed
Policies mapped to controls, controls mapped to evidence, monitored continuously rather than at audit time.
Policy & controlsregulAIt-Migrate
Move between frameworks and versions with mappings and evidence carried forward instead of rebuilt.
Join the waitlistregulAIt-Attested
Continuous audit evidence and attestation packs an auditor can accept without a working session.
Join the waitlistregulAIt-Observed
Runtime oversight for live models and agents — drift, abuse, cost and behaviour, watched continuously.
Join the waitlistSee it against your own frameworks
Thirty minutes, your control set, and an honest answer on what regulAIt does today.