DTEX InTERCEPT for Critical Infrastructure Entities Enhanced. READ THE NEWS HERE.

Data Loss

Safeguard data without content inspection or heavy endpoint agents.

Traditional endpoint DLP solutions demand too much – and deliver too little

Until now, your only choices for Data Loss Prevention (DLP) were traditional endpoint DLP solutions with intrusive, resource-intensive content inspection rules. They’re not only prone to high levels of false positives, but also require heavy endpoint agents that degrade performance – and require constant tuning by IT and security staff. They simply fail to meet the needs of today’s digital and distributed enterprises.

Data Loss Prevention with DTEX: A smarter approach for fewer false positives

DTEX InTERCEPT takes a behavioral approach to data loss by monitoring and auditing all user activities. It’s able to see the full lifecycle of behavior activity and understand the who, what, when, and how of a possible data loss incident. Result? No false positives.

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Data Loss Prevention with DTEX InTERCEPT is:

Learn how VicTrac uses DTEX

Learn how Victorian Rail Track uses InTERCEPT to monitor its remote workforce. DTEX InTERCEPT gives employees the freedom to do their work while protecting data and productivity.

The Latest On Workforce Cyber Intelligence


Protect & Respect: 7 Endpoint DLP Capabilities that Empower the Virtual Workforce

How do you protect your organization against data loss, while enabling your workforce to be productive and showing respect for…

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2020 Gartner Market Guide for Insider Risk Management Solutions

Download the report to learn more and understand how DTEX InTERCEPT maps to Gartner’s recommended evaluation considerations.

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White Papers, Reports

Smart Enterprise Visibility with DTEX InTERCEPT

Download this report from SANS for an assessment of how DTEX InTERCEPT can help your organization achieve its security objectives.

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Put Workforce Cyber Intelligence to work for you.

Start a free trial of DTEX and experience how you can secure and optimize your organization.

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