AI and Internal Data Risk - One-page Board Briefing

Topic: Internal data risk with paid or enterprise AI tools.

Why it matters: Paid AI tools improve privacy - but do not eliminate internal risk. Employees can only misuse data they already have access to.

Primary risks:

• Excessive internal access to sensitive information
• Poor data classification and unclear handling rules
• Speed-driven mistakes and accidental disclosure
• Policy without enforcement or detection

Questions boards should ask:

• Who can access sensitive data today?
• Are controls embedded where work happens?
• How is data movement monitored and logged?
• Are policies reinforced by system-level controls?
• Could we explain our controls after an incident?

Board takeaway: AI magnifies existing access weaknesses. Internal controls - not vendor promises - determine real risk.