In the latest Security for Software Development Companies webinar, Microsoft showcased how Microsoft Purview now extends its enterprise data governance capabilities to AI-driven applications — helping developers secure data, maintain compliance, and build trust without slowing innovation.
Key Highlights:
Built-in AI Governance
- Data Loss Prevention (DLP) on prompts/responses, real-time sensitive content blocking, audit trails, and integration via Microsoft Graph APIs
Data Security Posture Management for AI
- Centralized visibility into AI activity across Microsoft Copilot, Azure OpenAI, ChatGPT, and Google Gemini, with insights on DLP violations and insider risk.
Developer Integration
- Simple API calls (protectionScopes/compute and processContent) enable inline or offline AI content evaluation; optional logging with contentActivity.
Example
- In Microsoft Copilot, Purview policies can block confidential content (e.g., “Project Obsidian”) from being shared.
Zero Developer Overhead
- Purview integration is automatic for Copilot Studio and Azure AI Foundry; custom AI apps can integrate via Graph APIs.
Enterprise Controls
- Create custom sensitive info types, apply RBAC, build blocking/allow policies, and conduct audits and eDiscovery — all managed in Purview’s familiar interface.
