AI-powered user behavior analytics and insider risk detection platform
Teramind delivers user behavior analytics and insider threat detection built on a polyglot stack (C++, Go, Rust backend; React/Next.js frontend) deployed across AWS, Azure, and GCP. The company is scaling a multi-tenant SaaS platform while wrestling with time-to-integration and legacy-system constraints—pain points that explain their current focus on secure integrations and enterprise implementation playbooks. Senior and principal engineers dominate the hiring mix, suggesting deep technical work on performance and platform architecture rather than growth-stage expansion.
Notable leadership hires: Chief Marketing Officer
Teramind provides user behavior analytics, insider risk management, and workforce intelligence to mid-market and enterprise organizations. The platform monitors digital activity across workforces, surfacing behavioral anomalies and compliance violations in real-time. Core capabilities span DLP, privileged access management, audit and forensics, and policy enforcement. The company operates globally with development and support teams across nine countries, and maintains active projects around SOC 2 compliance, incident response, and penetration testing cycles. Customer acquisition runs through a sales organization paired with advisory and implementation teams for enterprise deployments.
Teramind's stack includes C++, Go, and Rust for backend services; React and Next.js for frontend; ClickHouse and PostgreSQL for data; Docker for containerization; and deployment across AWS, Azure, and GCP.
Teramind hires across nine countries: United States, Indonesia, Romania, Bulgaria, United Arab Emirates, Mexico, Costa Rica, Ukraine, and Australia, with headquarters in Cheyenne, Wyoming.
Teramind'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.