Datasheet (PDF)

Your Source Code Doesn't Stay Put

Source code, product designs, and customer data now move constantly between repos, laptops, personal clouds, and AI coding assistants, and a single leak can hand years of engineering work to a competitor. This brief shows how Cyberhaven traces that movement end to end and stops exfiltration across both generative and agentic AI, without slowing down engineering teams.

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82%
GenAI apps carry elevated risk
39.7%
AI interactions carry sensitive data
32.3%
ChatGPT use via personal accounts
Trusted by enterprise security teams

What's inside

01

How Cyberhaven Protects Technology Companies

  • Cyberhaven traces code, designs, and models from repos and build systems to endpoints, personal clouds, and AI tools, without slowing engineering velocity.

  • Cyberhaven shows what flows into AI coding assistants and other AI tools, both generative and agentic, then stops proprietary code and customer data before they leave the company.

  • Job changes are routine, but source code and roadmaps leaving with them are not. Cyberhaven flags unusual activity before a departure and blocks exfiltration in the moment.

02

AI-Native Data Security Platform

  • Cyberhaven maps source code, models, and customer data at rest and in motion across SaaS, IaaS, PaaS, on-premises, and hybrid environments, reducing exposure before incidents occur.

  • Linea AI agents analyze billions of workflows to spot risky behavior and separate accidents from intent, from an accidental paste to a departing engineer collecting repos.

  • Cyberhaven stops source code, models, and customer data from leaving the company across email, web, cloud storage, USB drives, and AI apps, with context that cuts false positives.

03

The Magic Behind Cyberhaven's Data Lineage

  • Whether the model weights in the training pipeline or the product design in Figma, different teams produce data in different places.

  • Code and designs move in recognizable ways, from the repo to the build system to a personal notebook.

  • Different teams produce different work, from platform engineers to ML researchers, and Data Lineage knows the difference.