DTEX, a global leader in insider risk management, has unveiled its Risk-Adaptive Data Loss Prevention (DLP) solution, marking the industry’s first truly dynamic approach to data loss prevention. Unlike traditional DLP tools that depend on static rules and reactive monitoring, DTEX’s solution leverages advanced AI and behavioral intelligence including insights from the MITRE Inside-R Protect collaborative research partnership to provide organizations with continuous visibility, real-time context, and proactive detection of insider risks.
Conventional DLP solutions often struggle to keep pace with the evolving ways people work, leaving enterprises vulnerable to rapidly shifting risks. DTEX’s Risk-Adaptive DLP redefines this landscape by continuously learning from workforce behavior, enabling organizations to safeguard sensitive information without creating friction in day-to-day operations. This dynamic approach not only enhances data protection but also simplifies policy management while equipping security teams with actionable insights.
“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.”
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Key Features of DTEX Risk-Adaptive DLP:
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DTEX Risk-Adaptive Framework™: Automates and simplifies policy management with dynamic risk groups, enabling proactive, real-time defense as user behavior evolves.
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Behavior-Based Classification: Uses AI-driven digital fingerprints to classify data based on file attributes and behavior, extending protection to all file types including images, videos, and source code a breakthrough for unstructured data.
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GenAI Governance: Offers browser-agnostic monitoring and governance of generative AI usage, helping enterprises safely manage access to approved AI tools and web applications.
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Endpoint Content Classification: Provides real-time protection for sensitive data at the device level through intelligent, on-device classification powered by behavior-based AI.
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Privacy-First Security: Balances strong protection with ethical considerations, applying proportional interventions based on user activity and intent.
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AI-Powered Insights & Investigations: Delivers contextual, real-time visibility and guided investigations that reveal 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.
With the launch of Risk-Adaptive DLP, DTEX sets a new benchmark for modern data protection offering enterprises the ability to stay ahead of evolving risks while ensuring operational agility and employee privacy.
