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.
Notable leadership hires: Enterprise Sales Director
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.
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.
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.
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.