Governed Secure OS
Security is not applied after retrieval. It is part of the relationship layer.
Flaibot evaluates identity, policy, purpose, and relationships before enterprise context reaches an AI agent. Every allowed or denied action stays explainable, source-grounded, and auditable.
- Identity mapped to risk analyst role
- Purpose matches approved claims workflow
- Grounded response released with seven citations
Control before context
The model only sees what the policy boundary releases.
Flaibot resolves the user, purpose, requested entities, governing policies, and permitted relationships before assembling context. The security decision happens upstream of the model, not inside its prompt.
Runs where your data lives
Keep enterprise context inside enterprise boundaries.
Flaibot supports enterprise-controlled deployment patterns without changing the agent or model your teams already use.
Common questions
What enterprise security teams ask first.
Does Flaibot copy all enterprise data into a new system?
No. Flaibot connects to systems of record and creates a governed relationship layer while preserving links to authoritative sources.
How are existing permissions preserved?
Identity, role, purpose, entity policy, and relationship policy are evaluated before context is assembled for the agent.
What happens when a request crosses a restricted boundary?
Restricted entities can be removed, masked, or cause the request to be denied. The reason is recorded as an explainable governance event.
Does Flaibot require a specific model?
No. The governed context layer can ground the models and agent interfaces an organization has already selected.