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DTEX Tech Stack

Behavioral intelligence platform for insider risk and data loss prevention

Software Development Saratoga, California 51–200 employees Founded 2002 Privately Held

DTEX operates a behavioral intelligence platform that unifies insider risk management, data loss prevention, and user activity monitoring into a single control plane. The tech stack spans endpoint detection (EDR, DLP), observability (Elasticsearch, Kibana, Prometheus, Grafana), cloud infrastructure (AWS, GCP, Kubernetes), and BI tools (Power BI, Tableau) — a shape that reflects both mature observability practices and evolving scale challenges. Active hiring is heavily weighted toward senior engineering (6 roles) plus principal-level positions, while pain points cluster around endpoint agent complexity, policy enforcement, and threat identification accuracy, suggesting the platform is in a phase of operational hardening rather than greenfield feature expansion.

Tech Stack 36 technologies

Core StackPower BI Tableau MySQL PostgreSQL SQL Server Elasticsearch Terraform AWS Kubernetes Python Go Ansible Prometheus Grafana Salesforce Selenium Redis macOS EDR DLP OpenSearch Lucene Kibana Crystal Reports GCP Salt Zabbix Bash VMware ESXi VirtualBox+6 more
AdoptingTerraform

What DTEX Is Building

Challenges

  • Complex endpoint agent issues
  • Interoperability issues between endpoint agents and security tools
  • Ensuring policy effectiveness
  • Identifying insider threat events
  • Remediating threat discoveries
  • Improving platform accuracy
  • Expanding strategic relationships
  • Complex solution selling
  • Navigating complex compliance
  • Maintaining quality across complex platforms

Active Projects

  • Maintain high-fidelity lab environment
  • Author endpoint runbooks
  • Pov lifecycle management
  • Post-pov analysis and reporting
  • Pre-sales material development
  • Intelligence package releases
  • Platform accuracy improvement
  • Pre-sales engagement support
  • Operationalizing production environment
  • Automated test framework development

Hiring Activity

Accelerating10 roles · 10 in 30d

Department

Engineering
6
Support
2
Sales
1
Security
1

Seniority

Senior
6
Principal
2
Director
1
Mid
1

Notable leadership hires: Enterprise Sales Director

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About DTEX

DTEX is an enterprise security platform built to detect insider threats and prevent data loss through behavioral analysis of user activity. The product integrates user and entity behavior analytics (UEBA), user activity monitoring (UAM), data loss prevention (DLP), and compliance controls into a unified platform that operates at scale across distributed organizations. The company serves mid-to-large enterprises and government agencies across the United States and internationally. With 51–200 employees based in Saratoga, California (founded 2002), DTEX operates a sales-led motion supported by pre-sales engineering and a growing support organization. Current operational focus centers on endpoint agent reliability, policy enforcement effectiveness, and improving detection accuracy — core priorities for a platform handling sensitive behavioral telemetry.

HeadquartersSaratoga, California
Company Size51–200 employees
Founded2002
Hiring MarketsUnited States, Australia

Frequently Asked Questions

What technology stack does DTEX use?

DTEX runs Elasticsearch and Kibana for log storage and visualization, SQL databases (MySQL, PostgreSQL, SQL Server), cloud infrastructure on AWS and GCP with Kubernetes orchestration, and observability tools including Prometheus and Grafana. BI reporting uses Power BI and Tableau.

What is DTEX working on?

Active projects include platform accuracy improvement, endpoint runbook authoring, proof-of-concept (POV) lifecycle management, automated test framework development, and operationalizing production environments. Pre-sales support and intelligence package releases are also in progress.

How this profile is built

DTEX's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.