Cyberhaven is an AI and data security company focused on protecting sensitive information wherever it lives and goes. Its Cyberhaven AI & Data Security Platform unifies Data Security Posture Management, Data Loss Prevention, Insider Risk Management, and AI Security so security teams can discover, understand, and control data across endpoints, cloud, on-prem environments, SaaS applications, and AI tools.
Cyberhaven’s approach is built around deep data lineage: it records how data is created, copied, transformed, shared, and exposed, then uses that context to drive detection, policy enforcement, investigations, and user coaching. Rather than treating cloud, endpoint, and AI security as separate silos, Cyberhaven brings them together in a single operating model for modern data protection. The company is positioned for organizations that need to stop data loss, reduce insider risk, strengthen AI governance, and support AI adoption without slowing normal business workflows.
Offerings, Capabilities, and Integrations
Cyberhaven combines a cloud-native control plane with cloud API connectors, a lightweight endpoint agent, and browser telemetry to give teams visibility into how data moves between managed and unmanaged devices, sanctioned SaaS apps, code repositories, collaboration tools, shared drives, and AI applications. Its policy model supports real-time blocking, warning, redaction, and user coaching based on data context, identity, access, and behavior.
The platform integrates with directory services, SIEM and SOAR tools, cloud apps, and customer-controlled cloud repositories for evidence capture. Supported integrations span identity systems, productivity suites, source code and collaboration tools, and security operations workflows, helping organizations connect Cyberhaven to existing governance, incident response, and compliance processes.
Products and Services
- Cyberhaven AI & Data Security Platform: Cyberhaven’s flagship unified platform for protecting sensitive data across endpoints, cloud, on-prem, SaaS, and AI tools by combining Data Security Posture Management, Data Loss Prevention, Insider Risk Management, and AI Security on a shared data-lineage architecture.
- Data Security Posture Management: A DSPM offering that discovers and classifies sensitive data, maps how it moves across clouds and devices, assesses exposure, and helps enforce protection for data at rest and in motion.
- Data Loss Prevention: A reimagined DLP capability that coaches users and blocks or warns on risky data movement across email, web, cloud applications, and devices.
- Insider Risk Management: An insider risk capability that combines data context and behavior signals to identify risky actions, clarify intent, and support real-time response and investigation.
- AI Security: A security offering for governing enterprise AI usage and autonomous agents, including discovery of AI tools, risk assessment, and real-time controls over sensitive data in AI workflows.
- Data Detection and Response: Cyberhaven’s data-centric detection and response approach that follows sensitive data through its lifecycle to stop exfiltration, surface high-risk behavior, and accelerate internal investigations.
- Linea AI: Cyberhaven’s AI layer powered by its Large Lineage Model, used to detect risky behavior, prioritize incidents, and assist investigations with autonomous analysis.
- Cloud Data Security: A cloud security offering that protects data moving through modern cloud apps, enforces sharing controls, distinguishes corporate from personal app instances, and continues protection after data leaves the cloud.
- Cyberhaven Professional Services: Services for onboarding, deployment, policy tuning, analyst support, technical account management, and program maturation for insider risk and AI/data security initiatives.
Target Customers
Cyberhaven targets mid-market and enterprise organizations that need stronger control over sensitive data across distributed users, cloud services, and AI workflows. Primary buyers include security operations, data security, insider risk, governance, and IT leaders that want better visibility into data movement and faster response to exfiltration, misuse, and policy violations.
The company has dedicated messaging and customer use cases for technology and SaaS companies, manufacturers, law firms, investment and asset management firms, and healthcare organizations. Its platform also fits other data-intensive and regulated enterprises that manage proprietary IP, customer data, financial information, legal documents, or patient records and need to secure AI adoption without disrupting day-to-day work.
Cloud Integrations and Marketplace
- AWS Marketplace: Cyberhaven AI & Data Security Platform is available for procurement through AWS Marketplace, and Cyberhaven also supports AWS for customer-controlled evidence capture workflows.
- Microsoft Azure Marketplace: Cyberhaven AI & Data Security Platform is available through Microsoft Azure Marketplace, with Azure also supported for customer-controlled evidence capture and related cloud workflows.
- Google Cloud Marketplace: Cyberhaven AI & Data Security Platform is available through Google Cloud Marketplace, and Cyberhaven supports Google Cloud for customer-controlled evidence capture and cloud integration use cases.
Key People
- Nishant Doshi: CEO
- Dr. Volodymyr Kuznetsov: Chief Technology Officer
- Edward Sharp: Chief Financial Officer
- James McCarthy: Chief Revenue Officer
- Aaron Feigin: Chief Marketing Officer
- Aman Sirohi: Chief Information Security Officer
- Saro Subbiah: SVP of Engineering
- Prashant Jain: VP, Product Management & Product Marketing
- Meghana Dwarakanath: VP, Customer Success & Professional Services
- Iulia Stefoi-Silver: VP of Technology Alliances and Strategy
Key Facts
- Headquarters: Mountain View, California, United States
- Employees: Approximately 250-300
- Annual Revenue: Undisclosed
- Parent Company: None
- Subsidiaries: None
- Publicly Listed: No (private company)
Analyst Recognitions
- Gartner: 2023 Cool Vendors in Data Security – Cool Vendor.
