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DTEX Insider Risk Management

What DTEX Insider Risk Management is
DTEX Insider Risk Management helps enterprise security teams identify potential insider-driven breaches by combining user activity monitoring with behavioral context and visibility into interactions with data and AI. It provides preconfigured and customizable behavioral indicators, user baselines, anomaly detection, and risk scoring. For investigations, MITRE ATT&CK-aligned profiling and endpoint telemetry—including event logs, registry changes, and credential usage—can help examine signs such as lateral movement and privilege escalation. Preconfigured DLP patterns highlight risky behavior, while data lineage tracks file interactions and changes. A threat-hunting and visualization engine supports searches across insider data through an open query language and customizable visualizations. The platform covers users, endpoints, servers, applications, data, and AI activity. DTEX describes continuous collection on or off network and pseudonymization to mask personal identifiers, with reversal possible for escalated investigations. It runs on Linux, macOS, Windows, and the web. Pricing is available on request.
Who it suits
The product is presented for enterprise security teams investigating risks such as privilege misuse, shadow AI, leavers and joiners, and state-sponsored insider threats. It may suit organizations seeking activity visibility across users, endpoints, servers, applications, data, and AI.
What it does well
- Offers behavioral indicators and risk scoring.
- Endpoint telemetry supports investigations.
- Data lineage tracks file interactions and changes.
- Pseudonymization masks personal identifiers.
- Available on Linux, macOS, Windows, and web.
What to know first
- Pricing is available on request.
- Pseudonymization can be reversed for escalated investigations.
- Collection includes user activity and metadata.
Limits
Pricing is available on request. DTEX describes metadata collection of about 5 MB per user per day, with deployment information giving a range of 3–5 MB per user per day.
Plans
| Plan | Billed and limits | Price |
|---|---|---|
| DTEX Insider Risk Management | Request a demo; pricing not stated on the pages reviewed | On request |
As dtex.ai lists them, read 4 Oct 2026. The maker's own page has the final word.
Getting started
- Visit the DTEX website and request a demo.
- Arrange pricing with DTEX, which is available on request.
- Deploy lightweight forwarders, which DTEX says deploy in minutes.
- Connect relevant EDR, cloud security, data classification, SIEM/SOAR, case management, productivity, HR, or data platforms.
- Use behavioral analytics, endpoint telemetry, and threat-hunting tools to investigate activity.
Overview
DTEX Insider Risk Management is an enterprise security platform for examining risky behavior around data and AI. It best suits security teams responsible for complex insider-risk investigations. Its strongest case is the combination of behavioral signals, endpoint evidence, and data lineage; its enterprise scope and custom pricing make it a less natural fit for smaller teams seeking a simple, priced-by-seat tool.
Key features
Behavior analytics: Preconfigured and customizable indicators, user baselines, anomaly detection, and risk scoring help teams identify activity that departs from expected patterns. That context can sharpen prioritization, but analysts still need to assess signals and decide what merits investigation.
Investigation telemetry: MITRE ATT&CK-aligned profiling draws on endpoint evidence such as event logs, registry changes, and credential use to examine signs including lateral movement and privilege escalation. This gives investigators technical detail to connect behavior with possible attack activity, making the product more suited to teams equipped for security investigations than organizations seeking only basic monitoring.
Data visibility and threat hunting: Preconfigured DLP patterns flag risky behavior, while data lineage tracks file interactions and changes. An open query language and customizable visualizations support proactive searches; those capabilities are most valuable to teams with the time and skills to hunt rather than rely solely on predefined indicators.
Privacy and collection: DTEX says it collects roughly 3–5 MB of data per user per day, including more than 500 metadata elements across over 12 behavioral domains, continuously and on or off network. Pseudonymization masks personal identifiers and can be reversed for escalated investigations. That balance supports investigations while limiting routine exposure of personal information, but organizations should weigh the breadth of continuous activity collection against their own privacy requirements.
Integrations and support: Connections span EDR, cloud security, data classification, SIEM/SOAR, case management, Google Workspace, Microsoft 365, HR systems, and data platforms. DTEX also offers i³ investigative services to help identify, analyze, and respond to incidents, a useful addition for organizations that need external investigative support.
Pricing
DTEX Insider Risk Management: custom pricing. The product is paid, and buyers are directed to request a demo. No seat or usage limits are stated, so organizations should establish scope and cost with sales before comparing it with budgeted alternatives. There is no published lower-cost tier or free plan to evaluate.
Platforms
DTEX supports Linux, macOS, Windows, and web access. Lightweight forwarders are described as deploying in minutes, and activity collection covers endpoints and servers. The product’s reach across users, endpoints, servers, applications, data, and AI activity makes it relevant to organizations investigating risk across more than endpoint devices alone.
Who it's for
Enterprise security teams addressing privilege misuse, shadow AI, leavers and joiners, and state-sponsored insider threats are the clearest fit. Its behavioral analytics and investigation evidence suit teams that need to move from a risk signal to a detailed inquiry. Organizations with limited analyst capacity, or those uncomfortable with broad continuous collection, should consider a narrower tool or clarify collection and privacy controls before committing.
Pros and cons
- Pro: Behavioral baselines, anomaly detection, and risk scoring provide context for prioritizing unusual activity.
- Pro: Endpoint telemetry and MITRE ATT&CK-aligned profiling give investigators technical evidence for examining serious threat indicators.
- Pro: File lineage, DLP patterns, and open-query threat hunting support both tracing data activity and proactive investigation.
- Pro: Pseudonymization with reversal for escalated cases offers a privacy control without removing the ability to investigate.
- Con: Custom pricing and a demo-led purchase make cost harder to assess before a sales conversation.
- Con: Continuous collection across many behavioral domains may not suit organizations seeking minimal employee activity monitoring.
- Con: Hunting and investigation capabilities are most useful when an organization has analysts able to interpret signals and pursue cases.
Alternatives
For a broader shortlist, compare Insider Risk Management Software and User and Entity Behavior Analytics Software.
- Cyberhaven Insider Risk Management is another paid option, with Linux, macOS, web, and Windows support as well as API and extension platforms.
- FortiDLP is a paid alternative with Linux, macOS, web, and Windows support; its Core, Advanced, and Advanced with Premium Hosting plans each require a 100-endpoint minimum.
- Behavox Falcon is a paid web and API option, with commercial options discussed with sales.
- Mimecast Data Leak Prevention is a web-based paid option; its Advanced plan has custom pricing and adds data protection.
- NetClean ProActive is a paid option supporting API, web, and Windows.
- Varonis Data Discovery and Classification is a paid Linux, self-hosted, and web option priced by quote.
- Bottomline Internal Threat Management is a web-based paid enterprise fraud and insider-risk solution.
- EverShield Insider Risk Management is a paid option for which buyers can request a demo or contact Everfox for a tailored solution.
Verdict
Choose DTEX if your enterprise security team needs to connect behavioral risk, endpoint investigation evidence, and data lineage in insider-risk cases. Its strongest reason to buy is that investigative breadth; look elsewhere if custom pricing, extensive continuous collection, or the analyst effort required to use its hunting capabilities is a poor fit.
Verdict
DTEX combines behavioral analytics, endpoint telemetry, and data lineage for insider-risk investigation and threat hunting. Organizations need to request pricing, and should consider its activity collection and investigation controls.
Questions
How much does DTEX Insider Risk Management cost?
Pricing is available on request. The product page offers a demo request.
Which platforms does it support?
The listed platforms are Linux, macOS, web, and Windows.
What integrations are described?
Connections include EDR, cloud security, data classification, SIEM/SOAR, case management, Google Workspace, Microsoft 365, HR systems, and data platforms.
How does DTEX describe its privacy controls?
DTEX says pseudonymization masks personal identifiers and can be reversed for escalated investigations. It says the approach supports GDPR, CCPA, and global compliance.
What does DTEX collect?
The platform covers users, endpoints, servers, applications, data, and AI activity. DTEX describes more than 500 metadata elements across over 12 human-driven behavioral domains, collected on or off network.
Facts from DTEX Insider Risk Management's own pages
- Behavior analytics
- It offers preconfigured and customizable behavioral indicators, user baselining, anomaly detection, and risk scoring. · dtex.ai, 4 Oct 2026
- Data loss visibility
- The product includes preconfigured DLP patterns for risky behavior and data lineage tracking of file interactions and changes. · dtex.ai, 4 Oct 2026
- 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. · dtex.ai, 4 Oct 2026
- 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. · dtex.ai, 4 Oct 2026
- 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. · dtex.ai, 4 Oct 2026
- 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. · dtex.ai, 4 Oct 2026
- 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. · dtex.ai, 4 Oct 2026
- 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. · dtex.ai, 4 Oct 2026
- Privacy controls
- DTEX describes pseudonymization that masks personal identifiers, with the ability to reverse pseudonymization for escalated investigations. · dtex.ai, 4 Oct 2026
- 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. · dtex.ai, 4 Oct 2026
- Support
- DTEX offers i³ investigative services to help organizations identify, analyze, and respond to security incidents and insider threats. · dtex.ai, 4 Oct 2026
- Threat hunting
- Its threat-hunting and visualization engine supports proactive searches across insider data using an open query language and customizable visualizations. · dtex.ai, 4 Oct 2026
