Traditional data loss prevention (DLP) was built for a different world with clear perimeters and predictable data flows. Today, sensitive data moves across cloud platforms, AI tools, and distributed teams in ways legacy controls cannot keep up with.
Security teams now face a gap. Rule-based systems treat all data movement the same, without considering context, behavior, or intent. In the AI era, data risk is human as much as technical. Protection depends on understanding how and why data is used, not just what it contains.
This on-demand webinar by SANS and DTEX shows how to modernize DLP with a more adaptive approach. Learn how to use behavioral context, apply risk-based responses, and gain visibility into modern workflows so you can protect data without slowing the business.
What You Will Learn
- Why traditional DLP falls short with AI, cloud, and unstructured data
- How behavior and intent provide stronger signals than content alone
- How to apply adaptive, risk-based responses
- Why visibility into AI tools and workflows matters
- How to make DLP support both security and productivity