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§ Private Profile · Palo Alto, CA, USA
An AI-powered data security platform providing real-time visibility and control to prevent data leaks for enterprises.
Based in Palo Alto, California, Cyberhaven develops an AI-powered data security platform that utilizes proprietary data lineage technology to track and protect sensitive information across complex cloud and enterprise environments. The SaaS company recently reached a $1 billion valuation following a $100 million Series D financing round, bringing its total venture capital funding to over $250 million. This financial milestone followed a twelve-month period where the enterprise cybersecurity provider experienced a 200 percent growth in new bookings and secured an $88 million Series C investment. To fuel its ongoing product development and market expansion, Cyberhaven is backed by prominent institutional investors, including StepStone Group, Khosla Ventures, and Adams Street Partners. The organization was originally founded in 2016 by a team of five researchers: Cristian Zamfir, Volodymyr Kuznetsov, George Candea, Radu Banabic, and Vitaly Chipounov.
Cyberhaven has raised $236.0M across 5 funding rounds.
Cyberhaven has raised $236.0M in total across 5 funding rounds.
Cyberhaven has raised $236.0M across 5 funding rounds. Most recently, it raised $100.0M Series D in April 2025.
# Cyberhaven: AI-Powered Data Security Pioneer
Cyberhaven is an AI-powered data security company that provides a Data Detection & Response (DDR) platform designed to protect sensitive data as it moves through modern enterprises.[1][2] The company builds integrated data loss prevention (DLP) and insider risk management solutions that address fundamental limitations of legacy security tools by understanding data context rather than relying solely on content scanning.[1]
The platform serves enterprises across industries—particularly technology companies handling source code, customer data, and product designs—by delivering visibility into how data flows throughout an organization, from its origin through various endpoints and cloud applications.[2][3][6] Cyberhaven solves a critical problem: traditional DLP tools generate excessive false positives that disrupt workflows while missing threats that occur outside their narrow detection scope. Organizations using Cyberhaven report a 90% reduction in false positives and 5x faster incident investigations, demonstrating that effective data security can enhance rather than hinder business operations.[1]
The company has demonstrated strong growth momentum, ranking number 51 on the Deloitte Technology Fast 500 in 2025, positioning it among North America's fastest-growing companies.[8]
Cyberhaven was founded by computer scientists and security experts from MIT and EPFL who set out to fundamentally rethink how organizations approach data security.[3] Rather than adopting the traditional perimeter-defense model, the founders recognized that modern data threats require understanding the complete lineage of sensitive information—where it originates, how it moves, and who accesses it.[3]
This insight became the foundation of the company's breakthrough data lineage technology, which records every event for every piece of data within an organization, including moves, copies, edits, and shares.[3] This architectural innovation enabled Cyberhaven to achieve complete visibility across managed and unmanaged cloud applications and devices—a capability that traditional tools struggle to provide.[3]
Cyberhaven operates at the intersection of two critical trends reshaping enterprise security: the explosion of data movement across hybrid and multi-cloud environments, and the limitations of legacy point solutions designed for static, perimeter-based security models.
As organizations increasingly adopt cloud-native architectures, unmanaged SaaS applications, and remote work practices, traditional DLP tools have become inadequate—they generate alert fatigue while missing threats that occur outside their detection scope.[1][4] Cyberhaven's data lineage approach addresses this gap by providing visibility across technologies and channels that legacy tools cannot control, including unmanaged cloud apps, removable storage, email, websites, and Apple AirDrop.[3][4]
The company's emphasis on reducing false positives while improving threat detection reflects a broader industry shift toward context-aware security—moving beyond pattern matching toward understanding user behavior, data sensitivity, and risk in relation to actual business operations.[1][5] This philosophy positions Cyberhaven to influence how enterprises think about data protection in an era where data is the primary business asset and the primary attack surface.
Cyberhaven has established itself as a category leader in Data Detection & Response by solving a problem that has plagued security teams for years: the false positive crisis that makes traditional DLP tools operationally untenable. The company's rapid growth trajectory and Deloitte recognition suggest strong market validation for its approach.
Looking ahead, Cyberhaven's influence will likely expand as enterprises face increasing regulatory pressure around data governance and insider threats, particularly in regulated industries like finance, healthcare, and technology. The integration of autonomous AI capabilities (Linea AI) into incident investigation workflows positions the company to address the growing security analyst shortage. As data becomes increasingly distributed and complex, organizations will likely continue shifting toward solutions that provide comprehensive lineage visibility rather than fragmented point tools—a trend that directly favors Cyberhaven's architectural approach and market positioning.
Cyberhaven has raised $236.0M in total across 5 funding rounds.
Cyberhaven's investors include StepStone Group, AirAngels, Costanoa Ventures, Khosla Ventures, Sheila Lirio Marcelo, Redpoint Ventures, Trinity Ventures, Vertex Ventures, Wing Venture Capital, York IE, Adam D'Angelo, Alex Stamos.