Overview
Risk-adaptive data loss prevention uses AI-driven behavior insights, risk-based policies, and dynamic data classification to adjust protection as user activity changes. DTEX Risk-Adaptive DLP combines classification and blocking with automation, so policies can change with user risk scores and apply proportionate intervention.
DTEX classifies data by content, behavioral context, or both. Content-based classification can label sensitive files such as source code, board documents, and financial information. Behavior-based classification infers sensitivity from file heuristics and can classify videos and images.
The DTEX Platform combines UEBA with data loss visibility in a lightweight solution. It collects high-fidelity metadata on and off network 24/7, provides file activity lineage, tracks GenAI tool use and data flows, and has an AI risk assistant that summarizes user activity for data leak investigations.
What You'll Learn
- How DTEX Risk-Adaptive DLP adjusts policies by user behavior, risk scores, data sensitivity, trust level, and channels such as email, cloud storage, removable devices, social media, and generative AI.
- How content-based and behavior-based classification identify sensitive data, including source code, board documents, financial information, videos, and images.
- How DLP Detect, DLP Deter, and DLP Disrupt detect, warn, or block user activity.
- How data lineage, AI risk management, and the AI risk assistant support data leak investigations and GenAI risk visibility.
Frequently Asked Questions
What is risk-adaptive data loss prevention?
Risk-adaptive data loss prevention is DLP that adjusts protection as user behavior changes. It uses AI-driven behavior insights, risk-based policies, and dynamic data classification so controls can adapt to user risk scores, data sensitivity, trust level, and activity channels.
How does DTEX Risk-Adaptive DLP work?
DTEX Risk-Adaptive DLP combines classification, blocking, and automation to apply proportionate intervention. Policies can change based on user behavior, risk scores, data sensitivity, trust level, and channels such as email, cloud storage, removable devices, social media, and generative AI.
How does risk-adaptive DLP classify sensitive security data?
DTEX classifies data by content, behavioral context, or both. Content-based classification can identify sensitive files with labels such as source code, board documents, and financial information. Behavior-based classification infers sensitivity from file heuristics and can classify videos and images.
What capabilities should a risk-adaptive data loss prevention DLP solution include?
A risk-adaptive data loss prevention DLP solution should combine UEBA, data loss visibility, dynamic classification, and risk-based policy response. DTEX also provides high-fidelity metadata collection on and off network 24/7, file activity lineage, GenAI tool use and data flow tracking, and an AI risk assistant for data leak investigations.
How do DLP Detect, DLP Deter, and DLP Disrupt support data breach prevention?
DLP Detect, DLP Deter, and DLP Disrupt support data breach prevention by detecting, warning, or blocking user activity. These controls allow DTEX Risk-Adaptive DLP to apply different levels of intervention based on user risk, data sensitivity, trust level, and channel.
How does DTEX support GenAI risk visibility and data leak investigations?
DTEX supports GenAI risk visibility by tracking GenAI tool use and data flows. It also provides file activity lineage and has an AI risk assistant that summarizes user activity for data leak investigations.
Ready to Learn More?
See how the DTEX Platform helps teams detect and mitigate insider risk. Request a demo.