DTEX, a trusted leader in insider risk management, is introducing DTEX’s Risk-Adaptive Data Loss Prevention (DLP), a dynamic DLP solution powered by the company’s advanced AI platform, built on industry-leading behavioral research—including the MITRE Inside-R Protect collaborative research partnership—to deliver continuous visibility, context, and early detection of emerging risks.
DTEX’s Risk-Adaptive DLP is a dynamic, risk-adaptive framework that continuously learns from workforce behavior, enabling organizations to strengthen data protection, streamline policy management, and equip teams with the real-time insights they need to prevent data loss—without disrupting the business.
“Data loss prevention isn’t just about files, it’s about people. Human behavior is constantly changing, and security needs to adapt,” said Marshall Heilman, CEO of DTEX. “This new, risk-adaptive approach to DLP sets a new standard by leveraging AI behavior models to proactively reduce risk before a data loss event occurs. Dynamic threats require dynamic protection.”
Key innovations in DTEX Risk-Adaptive DLP include:
- DTEX Risk-Adaptive Framework: Simplifies policy management with automated data protection policies that adapt in real time, powered by dynamic risk groups. This unified system enables precision, automation, and proactive defense as user behavior and risk evolve.
- Behavior-based classification: Classifies data using AI-driven digital fingerprints, inferring sensitivity based on file attributes and behavior, and applying it to all file formats—videos, source code, and images—not just text, a first in the industry and groundbreaking for unstructured data.
- Comprehensive generative AI governance: Delivers unmatched, browser-agnostic oversight of GenAI usage, so security teams can safely curate access to approved AI tools and web apps.
- Content classification on the endpoint: Identifies and protects regulated data in real time through intelligent, on-device content classification for business-critical data—driving behavior-based AI models to make it easier to identify and protect crown jewel information.
- Privacy-first controls, ethical security: Balances robust protection with respect for employee privacy, using proportionate interventions tied to user intent and activity.
- AI-powered insights and investigation: Delivers real-time, contextual reporting and guided investigations, pinpointing exactly where sensitive data is going and why.
“This intelligent, lightweight classification method leverages user behavior and file patterns to infer sensitivity—often more accurately than content analysis. And by pinpointing key content creators early, it proactively protects valuable IP, reducing risk and strengthening data governance long before crown jewels assets are even formally identified,” said Rajan Koo, CTO at DTEX.
DTEX Risk-Adaptive DLP is available now in Private Preview.
For more information about this news, visit www.dtexsystems.com.