Cyberhaven is an AI-powered data security company offering a data detection and response platform built on data lineage and foundational AI. The company's approach traces how data originates, moves, and transforms and uses a proprietary Large Lineage Model (LLiM) to provide real-time observability and precise threat detection. Its platform is designed to detect and stop critical risks to sensitive data across endpoints, cloud platforms, and AI systems. Cyberhaven emphasizes behavioral, AI-driven analysis of data flows rather than traditional content scanning. The company plans to expand its platform through both M&A and organic innovation and to increase go-to-market investments. Financially, the company has raised a total of $250 million to date and was valued at $1 billion after its latest round. Cyberhaven provides AI-powered data detection and response technology to detect and stop critical insider threats to sensitive information. Its platform uses data lineage technology and a foundational AI model that understands both content and context to classify sensitive information and identify when it is at risk. The company says its AI analyzes billions of workflows to map every piece of data within an organization and take action to protect it. Cyberhaven focuses on protecting intellectual property that traditional DLP, insider risk, and DSPM tools fail to secure, including source code, product designs, and customer records. Led by CEO Howard Ting and based in San Jose, California, the company intends to use new funding to expand product offerings, increase market reach, and continue its mission to protect sensitive data. Cyberhaven provides the industry's first Data Detection and Response (DDR) platform that maps the full journey of every piece of data to classify sensitive content, detect risk, and proactively enforce policy. The platform is a fully managed SaaS service that requires zero infrastructure deployment or management and collects events from endpoints and cloud apps. Cyberhaven automatically discovers and tracks sensitive content of any type and identifies risk without complex rules or tagging. Security teams can block, alert, or coach users in real time to prevent theft and misuse of intellectual property and sensitive data. The company positions itself to transform a stagnant and ineffective data protection market. Financially, the company completed a $33.0M Series B and has raised $52.0M in total funding to date. Cyberhaven delivers a Data Behavior Analytics (DaBA) platform that observes and records data behavior to provide full context on data movement across endpoints, servers and applications. The solution enables organizations to know everywhere a piece of data went, who accessed it and when, so incidents can be investigated with complete context. Its core technology is protected by four patents and is based on research that received more than $1 million in grants from DARPA and the Swiss Federal Government in 2016. The company was founded in 2016 and is led by CEO Volodymyr Kuznetsov. Cyberhaven is headquartered in Palo Alto and also maintains offices in Boston and Lausanne, Switzerland. The company intends to use new funding to expand operations and broaden its business reach. Cyberhaven is a stealth-mode cybersecurity startup based in Lausanne and Boston that offers full-coverage protection of sensitive documents against cyber attacks and insider leaks. Its solution includes connectors for Office 365, on-premise Sharepoint, and Google Apps to protect enterprise workflows without changing user workflows. The core technology was developed over seven years in university labs, has been proven in the field, and is protected by four patents. The company was founded by repeat entrepreneurs and technologists groomed at EPFL, MIT, Stanford, and UC Berkeley. Cyberhaven emphasizes simplifying enterprise security by focusing on business workflows and providing broad attack-surface coverage with a seamless user experience. It plans to use new capital to fuel R&D growth in Switzerland and expand business operations in the US.

Total raised

$236M

Funding rounds

5

Latest round

Series D

Latest activity

Apr 2025