As organisations adopt AI tools like Microsoft Copilot, ChatGPT, and Gemini, the challenge isn't just enabling AI - it's ensuring sensitive data is properly governed before AI can access it. AI acts as a force multiplier for existing data exposure risks, making it critical to understand where sensitive data resides, who can access it, and whether that access is appropriate.

Join Proofpoint's Itir Clarke and GigaOm Analyst, Chris Ray, for a 45-minute recorded discussion on the evolving role of Data Security Posture Management (DSPM) in the AI era. Drawing on insights from GigaOm's Radar for DSPM report, they'll explore how organisations can reduce data exposure, address overshared and over-permissioned content, and establish the foundation for secure AI adoption.

You'll learn how to: 

• Discover and classify sensitive data across cloud and SaaS environments
• Identify overexposed and over-permissioned data before AI tools amplify access risks
• Prioritize and remediate data security and access governance issues at scale
• Build a data governance strategy that supports innovation while reducing AI-related risk

Whether you're evaluating AI initiatives or strengthening your data security program, this session will provide practical guidance for making your data AI-ready.