Solving the DLP Effectiveness Conundrum to Improve Security Outcomes

Today’s organizations struggle with traditional data loss prevention (DLP) solutions that generate false positives, require extensive policy configuration, and demand significant headcount to manage effectively. Adding to this complexity, Enterprise Strategy Group (ESG) research shows that companies typically use 4-6 different DLP solutions, creating fragmented visibility across their data protection ecosystem. Join ESG Principal Analyst Todd Thiemann as he interviews Landen Brown, Field CTO at MIND, examining how to solve these problems using MIND's DLP and insider risk management approaches. This year, MIND was honored in both the RSAC™ Conference 20th Annual Innovation Sandbox Contest and Black Hat Startup Spotlight Competition, qualifying them to tackle this DLP challenge. Register for this fireside chat, live from Las Vegas, as Landen will discuss: ● What are the core benefits of autonomous DLP? ● Why it’s critical to have both posture and prevention in one unified solution? ● What is MIND’s approach to DLP? ● How is MIND approaching the data classification challenge? ● How does MIND address today’s DLP alert and triage fatigue?