Risk-Adaptive Data Protection: Beyond Traditional DLP

Why Traditional DLP Can’t Keep Up

Blind Spots: Little visibility into insider risk and AI usage.

False Positives: Excessive alerts mask real threats.

Fragmented Tools: Multiple point solutions complicate response.

Employee Workaround: Rigid policies slow productivity and increase risk.

Compare Data-Focused DLP to DTEX Risk-Adaptive DLP

Data-Focused DLPRisk-Adaptive DLP

Data Classification

Supports traditional content inspection based on keywords that can miss intellectual property. 

Supports traditional data classification and adds a novel, patented approach to identify unstructured data (intellectual property).

Full Data Lineage

Tracks file changes in a timeline view unrelated to users so why changes are made is missing.

Tracks file changes through a patented method that associates file changes with how many people have touched it and most importantly, why?

Context and Behavioral Risk

Lack of behavioral context to detect early risk to prevent a data breach.

Provides behavioral context to identify malicious intent, before data exfiltration.

AI Security

Often limited to browser-based shadow AI detection that leaves blind spots.

Comprehensive shadow AI detection. Visibility into browser and non-browser utilities, uploads, downloads, and GenAI prompts.

Unified Modern Platform 

Point-products focused on data-only, with rigid rules and limited automation.

Purpose-built solution that combines UEBA with data loss prevention and AI for a true risk-adaptive approach.

Ease of Deployment and Use

Not well suited to enterprise-wide deployments. Constant manual rule creation and tuning required.

Lightweight solution that intelligently applies policies to automatically adjust to changes in user behavior to apply preventative data loss controls.

DTEX combines behavioral intelligence, native data classification, and adaptive policies into a single, unified platform. 

Here’s how it protects your organization:

Natively classify data based on behavior, not inspection

Safely curate access to approved generative AI tools

Automatically adapt data protection to evolving risk scores

Apply interventions based on user intent