Data security platform tracing data lineage across human and AI workflows
Cyberhaven builds data security software that tracks how sensitive data moves through workflows, spanning DLP, DSPM and insider-threat use cases. Its stack is GCP-native (Bigtable, BigQuery, Cloud Spanner) on Go and Kubernetes, now adding Terraform and ArgoCD for GitOps-style delivery. Accelerating, sales-led hiring alongside services projects like implementations and managed services points to an enterprise go-to-market push.
Notable leadership hires: Chief of Staff, Communications Director
Cyberhaven is a privately held data security company founded in 2016 and headquartered in Palo Alto, California, with 201–500 employees. Its platform covers data loss prevention, data security posture management, AI security, insider threat detection and data lineage tracing, including SaaS environments. The product is aimed at enterprises that need to protect sensitive data as both employees and AI agents act on it. The company hires across the United States, Mexico, Romania, India and Peru.
Cyberhaven builds with Go, TypeScript and JavaScript on Kubernetes and Docker, using GCP services like Bigtable, BigQuery and Cloud Spanner plus Redis and etcd. It is adopting Terraform and ArgoCD.
Yes, hiring is accelerating and weighted toward sales, followed by engineering and security, with openings in the United States, Mexico, Romania, India and Peru.
Current initiatives include data security for agentic enterprises, incident response workflows, DLP analytics improvements, DDR event data analysis and expanding professional and managed services.
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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.