AI
AI Security, Access, and Data Boundaries
AI Security, Access, and Data Boundaries
AI security, access, and data boundaries must be enforced independently of the AI model.
Authorization first
Determine what the current user is allowed to access before content is supplied to an AI workflow.
Tenant isolation
Tenant-specific data must remain within the resolved tenant context.
AI must never combine private information from separate tenants.
Public versus internal knowledge
Public Product Help content can support public documentation scenarios.
Internal, authenticated, or restricted content requires the applicable authorization.
Sensitive information
Do not expose passwords, API keys, encryption material, private customer data, or other protected information to an AI workflow unless explicitly authorized and necessary.
Logging
AI-related logging should avoid storing unnecessary sensitive input or credentials.
Good practices
Design AI features as consumers of existing security decisions, not as an alternative authorization layer.