Govern AI Securely with Microsoft Purview: Compliance Across Copilot, ChatGPT, and Beyond
Jacques_GuibertDeBruet presents a thorough guide on using Microsoft Purview to govern data security and compliance for AI services—including Copilot and ChatGPT—focusing on AI risk management, policy automation, and protection of sensitive enterprise data.
Govern AI Securely. Purview Empowers Compliance Across Copilot, ChatGPT, and Beyond!
Author: Jacques_GuibertDeBruet
Introduction
AI is reshaping enterprise operations, but with innovation comes the imperative of robust data protection. Drawing on years of experience with Azure Information Protection and Data Loss Prevention, the author demonstrates how Microsoft Purview and its Data Security Posture Management (DSPM) for AI can help organizations effectively govern AI tools—both Microsoft and third-party—while safeguarding compliance and reducing risk.
The Challenge: AI and Sensitive Data
- AI agents increasingly interact with regulated or sensitive data via natural language prompts.
- Consumer-grade AI apps (e.g., ChatGPT, DeepSeek) often bypass enterprise security controls, exposing data to regulatory and confidentiality risks.
Why Now? Enterprise Urgency
- By 2025, over half of enterprises expect users to adopt personal AI apps at work, increasing risks of data oversharing and compliance violations.
Core Use Cases
- Governance: Apply unified security/compliance policies across Microsoft and third-party AI services.
- Auditing: Capture audit logs for AI interactions to meet regulatory needs.
- Risk Mitigation: Block or adaptively protect sensitive uploads/prompts with real-time user behavior context.
Microsoft Purview’s AI Security Architecture
1. Data Security Posture Management (DSPM) for AI
- Centralized dashboard for monitoring AI activity and risks
- Correlates data classification, user behaviors, and policy enforcement
- Generates actionable insights for security teams
- Integrates with Security Copilot for AI-assisted incident investigation and analytics
- Extends governance/protection to tools like ChatGPT via endpoint DLP and browser extensions
2. Unified Protection Across AI Agents
- Applies consistent DLP, sensitivity labels, and Insider Risk Management to Copilot, Security Copilot, and Azure AI services
3. Real-Time Risk Detection
- Monitors prompts/responses to flag oversharing and policy violations instantly
4. One-Click Policy Activation
- Administrators deploy security & compliance controls rapidly across the AI ecosystem
- Streamlined enforcement of DLP, sensitivity labeling, Insider Risk Management
- Automated analytics and adaptive policy adjustments
5. Support for Third-Party AI Apps
- Endpoint DLP and browser extensions control data flows in real-time for browser-based AI apps (e.g., ChatGPT, Gemini)
- Discovery and classification links prompts/responses to original data sources; enforces data protection dynamically
- Detailed telemetry integrates with user risk profiles and anomaly detection
- Integration with Security Copilot enhances visibility and incident response
- Adaptive orchestration keeps pace with evolving AI tools and workflows
Pros and Cons
| Pros | Cons | Required License |
|---|---|---|
| Centralized AI governance | Requires setup and proper licensing | Microsoft 365 E5 or Purview add-on |
| Real-time risk and incident detection | Browser extensions may be needed | Microsoft 365 E5, E5 Compliance, Purview add-on |
| Supports Microsoft and third-party AI | Some features enterprise-only |
Conclusion
Microsoft Purview delivers a comprehensive platform for securing AI agents, extending both governance and compliance controls to Copilot, ChatGPT, and future AI integrations. Activate DSPM for AI to proactively manage risk and ensure safe, compliant adoption of innovative AI technologies.
- Get started: Learn more about Microsoft Purview DSPM for AI
FAQ
- What is Purview’s role in AI data security?
- Governs, monitors, and protects sensitive data accessed/processed by AI using compliance/security controls.
- Microsoft Purview data security and compliance protection
- How does Purview secure AI-generated content?
- Applies DLP, sensitivity labels, and protection policies for organizational compliance.
- Information Protection
- Can Purview audit AI data interactions?
- Provides audit logs and activity explorer for tracking agent/data interactions.
- Audit Search
- What are sensitivity labels?
- Classify/protect data with access, encryption, and usage rights, even as data is used by AI.
- Sensitivity labels
- How does Purview integrate with Copilot and other AI?
- Extends compliance capabilities (e.g., DLP, labeling) to Microsoft 365 Copilot and other tools.
- Copilot usage report
- Does Purview control third-party AI agents?
- Supports conditional access, DLP, access reviews for third-party agents.
- Conditional Access in Entra ID
- How to ensure compliance in AI usage?
- Use Purview Compliance Manager to assess and manage regulatory risks.
- Purview Compliance Manager
About the Author:
Jacques “Jack” GuibertDeBruet is a Microsoft Technical Trainer specializing in data protection, Azure Information Protection, Data Loss Prevention, and enterprise AI governance since the launch of Microsoft Purview.
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