1
Detect sensitive data
Protect identifiers, emails, phone numbers, and customer data before processing.
Security model
Protect first. Act with control.
Security is built into Teeem AI’s product structure. Retrieval, insight generation, and workflow follow-through stay inside the same governed boundary.
PII masking
Permission-aware retrieval
Audit logs
Tenant isolation
Teeem AI
Security
FlowOS
1
Original request
2
Sensitive data protected
3
Permission check
4
Recorded
AI action control
Actions move through review, approval, and logs
PII masking
Permission-aware retrieval
Audit logs
Tenant isolation
Data protection
Sensitive data is minimized before model work
Original requests pass through masking and permission checks before AI receives context.
02
Check permissions
Use only sources the employee can access in the original system.
03
Show sources
Keep answers and insights connected to the materials that produced them.
AI action control
Actions move through review, approval, and logs
01
Permission-aware actions
Data and tools are scoped to the user’s role and approved workflows.
02
Approval flow
Reports, requests, and sensitive changes pause for human review when needed.
03
Audit trail
Questions, sources, reasoning, recommendations, and actions stay traceable.
Deployment options
Deployment scoped around customer requirements
SSO/OIDC
Support enterprise identity and IP allowlists.
Tenant isolation
Logical isolation and dedicated instance options can be reviewed.
Model data policy
External model context is minimized and protected with masking policies.
Start with the security review
Before connecting data, align on permissions, masking, logs, and approved action scope.