Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

What is DLP, and why is it critical to modern cybersecurity? In this video, we break down Data Loss Prevention—also known as DLP—into simple terms. You'll learn how DLP works, what kinds of sensitive data it protects, and why organizations use it to prevent data leaks, insider threats, and accidental exposure of confidential information. Whether you're new to data security or looking to level up your InfoSec knowledge, this is the perfect starting point to understand how DLP fits into your broader cybersecurity strategy.

In this candid fireside chat, we’ll explore why legacy DLP is no longer fit for purpose and what a modern, behavior-aware approach looks like. Join us as we unpack the technical and cultural debt holding security teams back, how new paradigms like contextual visibility and real-time decisioning are enabling faster, more effective responses. Matt Webb, Sr. Manager of Information Security at Zebra Technologies, shares his first-hand experience of making the switch to modern DLP with Cyberhaven.

Legacy data loss prevention (DLP) tools were built for a different era—a time when data sat safely behind firewalls and security meant scanning files for keywords. But today, data moves across cloud apps, personal devices, and collaboration tools faster than ever. Legacy DLP simply can’t keep up. In this video, we break down: If your organization is still relying on outdated DLP systems, it’s time to evolve. Because what your tools can’t see will hurt you.

AI use at work has exploded—nearly every employee is experimenting with AI tools. But behind the productivity gains lies a major blind spot: 71% of AI apps in use today were not approved by IT or security teams. These tools are flying under the radar, and they’re sending sensitive company data to unknown third parties. Cyberhaven Labs analyzed AI tool usage across millions of real-world events and found widespread shadow AI, uncontrolled data exposure, and risky behavior by employees—often without realizing it. The implications are clear: you can’t secure what you can’t see.