echoloc

Cyberhaven Tech Stack

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

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

Cyberhaven combines data loss prevention, insider risk management, and data security posture tools into a unified platform designed for AI workloads. The tech stack reveals a mature, distributed systems operation: React + TypeScript frontend, Go + gRPC backend, Kubernetes orchestration across AWS/GCP/Azure, with BigQuery and Bigtable for scale. Active adoption of EDR, GitHub Actions, Terraform, and ArgoCD indicates DevOps-first deployment culture. The engineering-heavy hiring profile (17 of 37 open roles) paired with projects spanning high-volume event monitoring, real-time graph processing, and macOS endpoint sensing suggests Cyberhaven is scaling detection and telemetry infrastructure to handle the complexity of modern data environments.

Tech Stack 63 technologies

Core StackReact TypeScript Jest Playwright JavaScript Angular Vue Go gRPC Docker Kubernetes Salesforce HubSpot 6sense AWS BigQuery Redis Python Java C# Scala Kotlin Material-UI React Router React Testing Library Demandbase GCP Azure Bigtable Spanner+31 more

What Cyberhaven Is Building

Challenges

  • Performance optimization for high-volume event monitoring
  • Wait time reduction
  • Protecting against data leakage
  • Technical friction elimination
  • Traditional tools fall short
  • Detecting sensitive data across public clouds
  • Operationalizing ai prototypes
  • Customer escalations
  • Reducing data loss threats
  • Improving close timelines

Active Projects

  • High-volume event monitoring performance optimization
  • Cloud infrastructure
  • Operationalize ai prototypes
  • Automation pipelines
  • Data movement tracing sensor on macos endpoints
  • Scale distributed systems
  • Real-time graph processing systems
  • Web-based management console
  • Developer environment monitoring
  • Build local franchise

Hiring Activity

Steady35 roles · 10 in 30d

Department

Engineering
17
Sales
4
Security
4
Marketing
3
Support
3
Finance
1
Ops
1
Research
1

Seniority

Senior
22
Mid
7
Staff
4
Director
1
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About Cyberhaven

Cyberhaven protects sensitive data across endpoints, cloud platforms, and SaaS applications using a unified data security platform. The product covers data loss prevention (DLP), data security posture management (DSPM), insider threat detection, and AI security, with deep data lineage and support for agentic AI systems. Founded in 2016 and headquartered in Palo Alto, the company serves mid-market and enterprise organizations navigating the intersection of data protection and rapid AI adoption. Current hiring spans engineering, sales, security, and support across five countries, reflecting both product expansion and go-to-market scaling.

HeadquartersPalo Alto, California(CA)
Company Size201–500 employees
Founded2016
Hiring MarketsFrance, India, United States, Romania, Saudi Arabia

Frequently Asked Questions

What is Cyberhaven's tech stack?

Frontend: React, TypeScript, Material-UI. Backend: Go, gRPC, Python, Java, C#, Scala, Kotlin. Infrastructure: Docker, Kubernetes, AWS, GCP, Azure. Data: BigQuery, Bigtable, Spanner, Redis. Adopting: EDR, GitHub Actions, Terraform, ArgoCD.

What is Cyberhaven working on?

Active projects include high-volume event monitoring optimization, cloud infrastructure scaling, real-time graph processing, data movement tracing for endpoints (macOS focus), distributed systems scaling, and operationalizing AI prototypes. Web-based management console development is underway.

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