Built around Microsoft Purview DSPM, this accelerator helps organizations use Microsoft security, compliance, and observability signals to understand AI-era data exposure. Findings can inform follow-on control design through Microsoft Purview, SharePoint Advanced Management, Microsoft Agent 365, Microsoft Defender XDR, Microsoft Entra, and the Microsoft Security Dashboard for AI where available.
What This Accelerator Answers:
- What AI apps and agents are active in our environment?
- Where is AI interacting with sensitive data?
- Which AI apps or agents are creating the greatest exposure?
- What oversharing patterns, risky interactions, and posture gaps are visible?
- Which remediation actions should be prioritized first?
What’s Included?
Data Security Posture Management (DSPM) Prerequisite Validation
Validate the setup, licensing, permissions, audit readiness, DSPM configuration, browser or endpoint signal readiness, third-party AI app coverage, classification coverage, and regional or preview feature availability.
AI Usage & Data Exposure Baseline
Establish a baseline of Copilot, agent, and third-party/public generative AI usage; identify sensitive data exposure risks; and highlight oversharing scenarios that may be amplified by AI.
AI Observability & Risk Review
Review available AI observability signals, including agent inventory, agent risk levels, sensitive data exposure indicators, risky prompts, AI interaction patterns, and visibility gaps across relevant Microsoft tools.
Prioritized Remediation Backlog
Translate findings into a practical backlog mapped to Microsoft Purview, SharePoint Advanced Management, Microsoft Agent 365, Microsoft Defender, and Microsoft Entra.
Risk Categories Assessed
- AI app and agent discovery gaps
- Sensitive data exposed to AI interactions
- High-risk Microsoft 365 content reachable by AI
- Overshared or externally shared content
- Unlabeled regulated or business-critical content
- DLP policy coverage gaps
- Risky user activity connected to AI usage
- Agent access to sensitive repositories
- Public generative AI usage involving sensitive data
- Audit and investigation readiness gaps
- Unsupported or blind-spot AI platforms
- Policy effectiveness gaps
What You Walk Away With
A validated view of available DSPM and AI observability signals.
An AI usage and sensitive data exposure baseline.
A summary of key AI data-risk hotspots.
A prioritized remediation backlog.
Executive and technical briefings.
Documented visibility gaps and recommended next steps.
Optional escalation path into Microsoft Purview Data Security Investigations.