Cyberhaven Tech Stack

AI-native data security platform combining DLP, DSPM, and insider risk detection

Computer and Network Security Palo Alto, California(CA) 201–500 employees Founded 2016 Privately Held

Cyberhaven builds a unified data security platform designed around AI workloads, combining data loss prevention, data security posture management, and insider risk detection with data lineage tracking. The tech stack (React, TypeScript, Go, Kubernetes, GCP/BigQuery) reflects a modern cloud-native architecture, while active hiring skews heavily toward sales (5 roles) over engineering, suggesting a sales-led expansion phase. Current project focus on macOS endpoint sensors and policy refinement indicates they're hardening detection coverage across hybrid environments.

Tech Stack 59 technologies

Core StackSalesforce Jira Swift ZoomInfo AWS React TypeScript Jest Playwright JavaScript Angular Vue Go gRPC Docker Kubernetes HubSpot Demandbase 6sense BigQuery DLP macOS CASB LinkedIn Sales Navigator GCP Azure Material-UI React Router React Testing Library Bigtable+27 more

What Cyberhaven Is Building

◆Challenges

Traditional tools fall short
Reducing data loss threats
Customer escalations
Limitations of traditional data security products
Data loss prevention challenges
Insider risk detection
Data security gaps
Identifying insider threats
Eliminating false positives
Investigating endpoint incidents

▲Active Projects

Support productivity metrics
Support knowledge base documentation
Macos endpoint data movement sensor
Build professional services function
Improve ddr platform policies
Refine data risk policies

Hiring Activity

Accelerating8 roles · 7 in 30d

Department

Sales

Security

Support

Seniority

Mid

Senior

Junior

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About Cyberhaven

Cyberhaven protects sensitive data across cloud, on-premise, and endpoint environments using a unified platform that combines data loss prevention, data security posture management, insider threat detection, and AI security capabilities. Founded in 2016 and headquartered in Palo Alto, the company serves mid-market and enterprise organizations scaling AI adoption while managing data governance and compliance risk. The platform integrates deep data lineage and agentic AI monitoring to reduce false positives and enable faster incident investigation. Cyberhaven operates with 201–500 employees across the United States, India, and Peru.

HeadquartersPalo Alto, California(CA)

Company Size201–500 employees

Founded2016

Hiring MarketsUnited States, India, Peru

Frequently Asked Questions

What is Cyberhaven's tech stack?

Cyberhaven uses React, TypeScript, Go, Kubernetes, and Docker for the core platform, with GCP (BigQuery, Bigtable) and AWS for cloud infrastructure. Frontend tooling includes Material-UI and React Testing Library; QA relies on Playwright and Jest. Sales operations run on Salesforce, HubSpot, and intent-data platforms (6sense, Demandbase, ZoomInfo).

What is Cyberhaven working on?

Current projects include expanding macOS endpoint data movement detection, building a professional services function, improving data risk policy engines, refining DDR (data discovery and response) policies, and strengthening support knowledge base and productivity metrics.

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How this profile is built

Cyberhaven'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.