Understand how identity, permissions, classification, DLP, retention, and monitoring protect information used by enterprise AI assistants.
Identity is the starting point
The identity of the requesting user and the access authorized through each connected source should help determine which information an AI assistant can retrieve. Verify this behavior in the selected platform.
Permissions define visibility
Document repositories, email systems, business applications, and group membership can determine which content appears in enterprise search and AI experiences. Review connector permissions as well as source-system permissions.
Labels and encryption protect content
Data classification and sensitivity labels can guide handling rules. Depending on tool support, encryption, access policies, and related controls may follow labeled content across supported locations.
DLP controls risky use
Data loss prevention tools may identify sensitive information and apply prompts, restrictions, or incident workflows in supported channels. Confirm coverage for each AI tool and integration.
Retention and auditing support accountability
Retention policies preserve required records and help manage unnecessary content. Access and activity logs support monitoring, investigations, and policy review where available.
Apply This Guidance
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Karatin can help assess current-state controls, identify gaps, and create a prioritized remediation roadmap.
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