As organisations adopt AI-powered applications and autonomous agents, sensitive data is being accessed, generated, and shared in entirely new ways. Traditional data protection models-designed for static users and predictable data flows-are no longer sufficient.
This session explores how Microsoft Purview can be used to secure AI applications and agents end to end. We’ll examine how data flows into and out of AI systems, where new exposure points emerge, and how to apply controls using DSPM for AI, DLP, Communication Compliance, and Insider Risk Management-without stalling innovation.
Rather than focusing on theory, this talk highlights real control patterns, visibility gaps, and governance decisions organisations must make when deploying AI at scale.
Key Takeaways:
• How AI changes data risk models
• Where Purview provides visibility-and where assumptions break
• Practical guardrails for AI-enabled environments

Session Level: 400 (Advanced / Strategic-Technical)
Target Audience:
Security architects, data security leads, compliance leads, AI governance teams, SOC leaders
Solutions Covered:
Microsoft Purview DSPM, DSPM for AI, Data Loss Prevention (DLP), Communication Compliance, Insider Risk Management, Microsoft Copilot integrations