Governance Guide
AI Shadow AI Discovery Playbook for Security Teams
Shadow AI security risks compound when discovery is delayed. This playbook defines a discovery workflow with risk scoring and remediation.
Implementation Steps
- Scan for shadow AI: network traffic, API logs, billing anomalies, and team surveys.
- Score discovery findings: data exposure, compliance risk, and cost impact.
- Assign remediation owner for each finding with registration or shutdown deadline.
- Track discovery-to-remediation cycle time and update audit playbook.
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- Provider and model split recommendations
- Budget guardrail design by traffic stage
- KPI plan for spend, quality, and conversion