The most sensitive work in any organization now happens on the endpoint, and it’s moving faster, across more channels than ever: desktop apps, AI tools, autonomous agents.

That scale, speed, and complexity expose the limits of traditional DLP. It’s harder to know when an incident is actually risky, and harder still to stop that risk without disrupting legitimate work.

Join us for a practitioner-focused deep dive on what it takes to move beyond blind alerting and blunt blocking. {Person from Bold} sits down with Michael Roberts, Security Engineer at Cresta, a leading AI company, to explore an age-old question: How do you get the fine-grained control to stop real data loss without getting in the way of employee productivity?

If you own DLP, insider risk, or AI governance balancing alert noise, blocking that gets in the way, and real risk prevention, register to join live or get the on-demand recording.

Register for this live session to hear how practitioners are approaching:

How to tell real risk from routine work: Why you need context around the data, the user, where it came from, where it’s going, and what’s actually happening, and why a pattern match or isolated event isn’t enough.

Why blunt blocking breaks down: The everyday cases that traditional enforcement gets wrong, including sensitive data that legitimately needs to reach an external party, and why too many false blocks eventually push teams to weaken or disable enforcement.

What fine-grained control looks like in practice: How bringing context together on the endpoint lets you stop genuine risk while allowing legitimate work to continue without creating a rule for every possible scenario.