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The Biggest Blind Spot in Your Data Strategy: Discovery & Classification

From AI governance to data security, privacy compliance to data quality, every program, policy, and platform hinges on one critical capability: data discovery and classification.

In a world of exploding data volumes, shifting regulations, and accelerating AI adoption, understanding what data you have, where it lives, and how it’s used isn’t optional – it’s foundational. Yet many organizations still struggle with outdated inventories, limited visibility, and static approaches that can’t keep up with today’s complexity.

In this webinar, we’ll go back to the basics – because the basics are more critical than ever. Join us to explore why discovery and classification is the starting point (and secret weapon) for effective data initiatives across security, privacy, governance, and beyond.

Key Takeaways:

  • Why discovery is the prerequisite for everything from DSPM to AI governance
  • How deep, automated classification improves accuracy and reduces manual effort
  • The risks of relying on outdated or incomplete data inventories
  • How to unify metadata, behavioral insights, and business context
  • Real-world examples of organizations modernizing their data foundations
  • What “getting discovery right” really looks like in 2025

Whether you’re building a privacy program, securing sensitive assets, or trying to make your data actually useful – this session will help you get back to what matters most: knowing your data.