Security
Your data. Your models. Your boundary.
Privacy here is not a policy you trust. It is an architecture you can inspect at the network layer.
Verifiable at the network layer.
Point your own monitoring at the deployment. The absence of outbound AI traffic is not something we claim. It is something your team observes.
Every request is logged with its actor, action, and target.
Outbound rules default to deny. Exceptions are yours to grant, and yours to see.
Auditors get the same log, in place, with nothing exported to read it.
Five guarantees, one architecture.
No public AI. No LLM calls.
The analysis engine is installed inside your environment. There is no code path to a hosted model, so there is nothing to misconfigure.
Runs in your environment
On-premises, private cloud, or air-gapped. The same product in every posture.
Private Arabic understanding
Arabic documents and questions are processed locally, never routed to a translation or AI service.
Full lineage and audit
Every read, transform, and answer is traceable from source to output.
You hold the keys
Encryption keys, secrets, and access policies live in your systems, under your rotation rules.
The controls your security team will ask about.
Access
- Role-based access control
- Approval workflows on sensitive steps
- Session and permission reviews
Traceability
- Column-level lineage
- Immutable audit logs
- A governed data catalog
Isolation
- Zero egress to public AI
- Air-gapped deployment support
- Customer-held encryption keys