Overview
DTEX data privacy protection for insider risk management provides workforce visibility with less data exposure. It uses minimal metadata collection, patented Pseudonymization™, and digital fingerprinting to keep collected data private and protected.
The lightweight forwarder collects only 3 to 5 MB of metadata per user each day, with near zero endpoint or network impact. DTEX collects only the metadata needed to build a forensic audit trail, which reduces intrusive data sources.
Pseudonymization™ tokenizes PII in raw data fields such as username, email, IP address, domain name, and device name. DTEX Risk-Adaptive Data Loss Prevention uses a digital fingerprint to classify data rather than inspect contents, so sensitive information in unstructured data can be identified without reading the data itself.
What You'll Learn
- How DTEX limits metadata collection while supporting insider risk monitoring.
- How Pseudonymization™ removes personal identifiers without changing risk modeling or investigations.
- How DTEX Risk-Adaptive Data Loss Prevention classifies unstructured data with a digital fingerprint rather than content inspection.
- How DTEX handles AWS region residency choices, logged processing, tenant dataset separation, and encryption at rest and in transit.
Frequently Asked Questions
What data privacy protection controls does DTEX use for insider risk management?
DTEX uses minimal metadata collection, patented Pseudonymization™, and digital fingerprinting. These controls provide workforce visibility while keeping data private and protected.
How does DTEX protect data privacy while monitoring insider risk?
DTEX collects only the metadata needed to build a forensic audit trail. Its lightweight forwarder collects 3 to 5 MB of metadata per user each day, with near zero endpoint or network impact.
How does DTEX Pseudonymization™ protect personal identifiers?
DTEX Pseudonymization™ tokenizes PII across raw data fields, including username, email, IP address, domain name, and device name. The risk model and investigations still work with those identifiers tokenized.
How does DTEX Risk-Adaptive Data Loss Prevention identify sensitive information without inspecting contents?
DTEX Risk-Adaptive Data Loss Prevention uses a digital fingerprint to classify data rather than inspect the contents. This lets the platform classify sensitive information in unstructured data without reading the data itself.
How does DTEX reduce invasion of privacy risk in workforce visibility?
DTEX reduces privacy impact by limiting metadata collection and avoiding content inspection for classification. It reduces intrusive data sources while keeping the forensic audit trail needed for insider risk monitoring.
How does DTEX handle data residency, tenant separation, and encryption?
DTEX handles data through AWS region residency choices, logged processing, separated tenant datasets, and encryption at rest and in transit. These controls help keep collected data private and protected.
Ready to Learn More?
See how the DTEX Platform helps teams detect and mitigate insider risk. Request a demo.