Sensitive data
Protect values before a model receives them.
Security and AI governance
Control sensitive data, identity, retention, models, connections, audit, and consequential actions.
Product governance
Protect values before a model receives them.
Limit each surface to approved people.
Set region, retention, and provider rules.
Allow only approved routes.
Record activity without exposing chat bodies.
Require approval where consequences matter.
Inside the product
The product view below uses sample policy data. It is not a certification claim.
Current product UI with sample policy data
Security review
Evidence should match its data, users, systems, providers, and connections.
Common questions
No. Every connection has a purpose, owner, access level, expiry, and removal process. Permissions in the source systems still apply.
Named people approve access, launch, and high-impact changes. Teams review test evidence before release. AI handles only defined work.
No. Customer content is not used to train shared models. We review provider routes and contract terms before launch.
Potentially. Suitability depends on the deployment, applicable rules, providers, and customer agreement.
Not currently. We claim certifications or audits only when current evidence covers the exact service.
Send the data, identity, integration, retention, provider, and contract requirements for the proposed deployment.
Security review
Bring your data, identity, retention, provider, and contract needs.