You’ve heard why self-aware data security matters. Now it’s where the proof meets the pudding: making it real in environments with millions or billions of records, files, sprawling databases, and AI touching sensitive data at every turn.
In this fireside chat, Chief Product and Marketing Officer Naveen Palavalli teams up with CTO and Global Head of Engineering Bakshi Kohli to dig into how to start closing the Visibility-Control Gap — without adding complexity.
They’ll share how to pick your starting point, align teams, and put controls in place that can adapt to AI-driven risk in real time.
The goal: visibility into what matters, adapting to risk, and scaling protection to pave the way to a simpler path for compliance and security.
Session Takeaways:
- How to choose a practical starting point for securing AI-driven data flows
- What adaptive protection looks like in action, from endpoint to cloud
- Customer-tested ways to unify policies and reduce tool fatigue