Skip to content
SPECIFICTION
Get listed

DTEX Insider Risk Management

dtex.ai

WebWindowsmacOSLinux
Visit dtex.ai
Spec score 7.5 #6 of 21 in User and Entity Behavior Analytics Software

What it is

DTEX Insider Risk Management helps enterprise security teams examine user behavior and activity around data and AI to identify potential insider-driven breaches. It offers preconfigured and customizable behavior indicators, user baselines, anomaly detection, and risk scoring. Investigations can draw on MITRE ATT&CK-aligned profiling and endpoint telemetry such as event logs, registry changes, and credential usage to examine signs including lateral movement and privilege escalation. Preconfigured DLP patterns flag risky behavior, while data lineage tracks file interactions and changes. A threat-hunting engine supports searches across insider data using an open query language and customizable visualizations. The platform covers users, endpoints, servers, applications, data, and AI activity across Linux, macOS, Windows, and web. DTEX describes pseudonymization that masks personal identifiers and can be reversed for escalated investigations. It reports metadata collection of about 5 MB per user per day, with deployment materials giving a 3–5 MB range. Pricing is available on request.

Spec sheet

Purpose
The product combines behavioral context, user activity monitoring, and visibility into how people interact with data and AI to surface intent and prevent insider-driven breaches.Read 4 Oct 2026 · dtex.ai
Intended users
The product is presented for enterprise security teams addressing use cases including privilege misuse, shadow AI, leavers and joiners, and state-sponsored insider threats.Read 4 Oct 2026 · dtex.ai
Deployment
DTEX says lightweight forwarders deploy in minutes and collect 3–5 MB of data per user per day; the platform page also describes activity collection across endpoints and servers.Read 4 Oct 2026 · dtex.ai
Integrations
The integration page describes connections to EDR, cloud security, data classification, SIEM/SOAR and case management, productivity apps including Google Workspace and Microsoft 365, HR systems, and data platforms.Read 4 Oct 2026 · dtex.ai
Privacy
DTEX says it collects about 5 MB of metadata per user per day and uses patented pseudonymization to protect personal information and support GDPR, CCPA, and global compliance.Read 4 Oct 2026 · dtex.ai
Support
DTEX offers i³ investigative services to help organizations identify, analyze, and respond to security incidents and insider threats.Read 4 Oct 2026 · dtex.ai
Behavior analytics
It offers preconfigured and customizable behavioral indicators, user baselining, anomaly detection, and risk scoring.Read 4 Oct 2026 · dtex.ai
Data loss visibility
The product includes preconfigured DLP patterns for risky behavior and data lineage tracking of file interactions and changes.Read 4 Oct 2026 · dtex.ai
Investigations
MITRE ATT&CK-aligned profiling and endpoint telemetry, including event logs, registry changes, and credential usage, are used to investigate signs such as lateral movement and privilege escalation.Read 4 Oct 2026 · dtex.ai
Notable collection detail
The platform page says DTEX collects more than 500 metadata elements across over 12 human-driven behavioral domains, continuously and on or off network.Read 4 Oct 2026 · dtex.ai
Privacy controls
DTEX describes pseudonymization that masks personal identifiers, with the ability to reverse pseudonymization for escalated investigations.Read 4 Oct 2026 · dtex.ai
Threat hunting
Its threat-hunting and visualization engine supports proactive searches across insider data using an open query language and customizable visualizations.Read 4 Oct 2026 · dtex.ai

Plans and prices

DTEX Insider Risk Management Priced on request Request a demo; pricing not stated on the pages reviewed Read 4 Oct 2026 · dtex.ai

Every DTEX Insider Risk Management plan and price →

Strong points and limits

Strong points

  • Behavior indicators, baselines, anomaly detection, and risk scoring.
  • MITRE ATT&CK-aligned profiling and endpoint telemetry.
  • DLP patterns and file-interaction data lineage.
  • Pseudonymization masks personal identifiers.
  • Integrations span security, productivity, HR, and data systems.

Limits

  • Pricing is available only on request.
  • Metadata collection is described as 3–5 MB per user daily.
  • Reversing pseudonymization is available for escalated investigations.

Who it suits

It suits enterprise security teams investigating issues such as privilege misuse, shadow AI, employee departures and arrivals, and state-sponsored insider threats. Organizations seeking visibility across endpoints, servers, data, and AI activity may find its coverage relevant.

Verdict

DTEX combines behavior analytics, endpoint investigation detail, and data lineage for enterprise insider-risk work. Pricing requires a request, and its stated collection volume is several megabytes per user each day.

Where Specifiction places it

Alternatives to DTEX Insider Risk ManagementAll alternatives →