Shadow Ai Discovery & Governance
Objective
Detect and govern unauthorized AI tools and deployments bypassing IT controls.
Control / requirement
Network traffic analysis + SaaS discovery + policy enforcement.
Business impact
Shadow AI bypasses security, compliance, and data protection controls. Estimated exposure: $1M–$10M.
Validation approach
Test ID: D4-CTL-06-VTS-001 Test Type: Automated Test Design: Scan network/SaaS logs for unauthorized AI endpoint usage; measure discovery rate. Execution Steps: 1. Run shadow AI scanner 2. Correlate with approved AI list 3. Identify unauthorized endpoints 4. Generate governance report Pass Criteria: shadow_ai_discovered = 100%; unauthorized_usage_blocked_or_governed = True; report_accuracy >= 95% Independent Verification: Auditor validates scanner against known unauthorized AI usage.
Expected evidence
Not separately specified in the available source.
Mapping and source
Not separately specified in the available source.
Implementation guidance
Translate the requirement into system-specific procedures, responsible roles, technical configurations and review conditions. Retain evidence showing both design and operating performance. Where the source provides no separate implementation instruction, do not infer that a single technical mechanism is sufficient.
Assessment considerations
- Confirm scope and applicability.
- Inspect control design and responsible ownership.
- Test representative operation and adverse conditions where appropriate.
- Evaluate evidence provenance, completeness and contradictory evidence.
- Record limitations and notably absent outcomes.