Cyberhaven

Cyberhaven is a data security platform that analyzes and protects enterprise data activity across endpoints, cloud applications, and collaboration tools with a focus on data exfiltration and insider risk.

• Data detection and response (DDR) platform for monitoring and controlling data movement across endpoints, Software-as-a-Service (SaaS), email, and web.
• Context-aware data protection using detailed activity telemetry and data lineage to track how data is created, modified, and shared.
• Insider risk management and protection against data exfiltration through policy-based controls and automated enforcement actions.
• Integration with enterprise security stacks, including endpoint agents, Security Information and Event Management (SIEM), and security orchestration tooling.
• Support for regulatory compliance use cases involving sensitive data handling, such as intellectual property, customer data, and confidential documents.

More About Cyberhaven

Cyberhaven operates in the enterprise data security and insider risk management category, with a focus on data detection and response (DDR) for organizations that manage sensitive intellectual property, regulated information, or confidential business data. The platform is typically deployed in corporate environments with heterogeneous endpoints, multiple SaaS applications, and collaboration tools where traditional Data Loss Prevention (DLP) controls are not always effective or practical.

The core architecture of Cyberhaven’s offering (data security / Double Data Rate (DDR)) relies on endpoint agents and cloud integrations that collect telemetry about how data is created, modified, and moved. Instead of relying solely on static content classification, the system builds a data lineage graph that links documents, files, and records to their origin and transformation over time. This approach uses metadata, user actions, application context, and access paths to infer which data is sensitive and how it propagates across systems and users. Policies can then evaluate both content and lineage to determine whether an action such as copy, upload, email, or download is allowed, blocked, or requires user justification.

Cyberhaven’s platform is often positioned as an alternative or complement to traditional DLP tools (data protection), which typically depend on pattern matching, predefined dictionaries, or file tags. By focusing on activity and lineage telemetry, Cyberhaven targets use cases where sensitive material may not contain obvious markers, such as design documents, source code, research notes, or internal strategy materials. This orientation lends itself to insider risk scenarios in which authorized users attempt to move data outside approved channels using endpoints, cloud file-sharing services, personal email, or other mechanisms.

From an integration perspective, Cyberhaven exposes event and alert data to existing Security Operations (SecOps) workflows through connections to SIEM platforms and other security analytics tools (security operations). Policy violations and risky behavior can feed into incident response processes, case management, and ticketing systems, allowing security teams to correlate data exfiltration attempts with broader threat activity. Endpoint agents typically operate alongside Endpoint Detection And Response (EDR) products, extending visibility from malware and exploit activity to data handling behavior.

Cyberhaven is relevant to enterprise architects and security leaders evaluating tools for data protection, insider risk management, and compliance controls in environments with extensive SaaS adoption and remote or hybrid work. Its focus on data activity monitoring and lineage positions it within directories and taxonomies that cover data security, insider risk, endpoint data protection, and DDR, rather than general-purpose endpoint security or network security categories.