CyberRey partners with organizations to reduce cyber risk and build lasting digital resilience.
Cyberhaven is the first unified AI and data security platform that combines DSPM, DLP, Insider Risk Management, and AI Security in a single architecture — built on comprehensive data lineage that tracks every piece of sensitive data wherever it lives, moves, and fragments across endpoints, cloud, SaaS, on-premises systems, and generative AI tools.
Discovers and classifies sensitive data across endpoints, SaaS, cloud, and on-premises systems — providing a continuous, holistic view of where sensitive data lives, how it is exposed, and which data is redundant, obsolete, or over-shared, going beyond the cloud-storage-only scope of traditional DSPM tools.
A lineage-first DLP engine that understands the context of data — including copies, derivatives, and fragments — rather than scanning isolated content, enabling precise, real-time enforcement across email, web, cloud, and devices with dramatically fewer false positives and user-facing contextual coaching rather than blunt blocking.
Combines data movement signals with behavioural context to detect, investigate, and respond to insider threats — including slow-burning risks that evade alert-based detection — with automated investigation workflows that surface intent and prioritise genuine risk above noise.
Provides comprehensive visibility into generative AI tool usage across the organisation — including unsanctioned shadow AI applications — assessing risk profiles, enforcing data-sharing controls, and enabling secure AI adoption without blocking the productivity benefits that teams expect from AI tools.
An autonomous AI analyst that conducts complete end-to-end incident investigations by analysing data lineage patterns, user behaviour context, and content characteristics — delivering actionable intelligence in minutes that would otherwise require hours of manual analysis, and generating client-ready investigation reports automatically.
A centralised data inventory that maps where all sensitive data lives and how it flows across the organisation, paired with advanced analytics aligned to the Data Security Maturity Model — revealing risk concentration points, protection gaps, and programme maturity trends for both operational and executive stakeholders.
Cyberhaven is a Mountain View-based data security company founded on the conviction that legacy DLP and data security tools are fundamentally broken — not because of execution, but because of architecture. Traditional tools scan content in isolation, rely on labels and tags, and have no way to track data once it leaves its original location, meaning the fragments, derivatives, summaries, and copies that make up the majority of sensitive data movement are entirely invisible to them. Cyberhaven addresses this with a data lineage-first approach: the platform captures the full journey of every piece of data across cloud applications, endpoints, and on-premises systems, building the context needed to understand not just what data is, but where it came from, how it changed, and where it is ultimately exposed. Launched in its unified form in February 2026, the platform combines DSPM, DLP, Insider Risk Management, and AI Security in a single architecture — powered by Linea AI, an agentic AI analyst that conducts investigations, detects risky data flows, and automates response autonomously. Cyberhaven serves organisations across financial services, technology, and other data-sensitive industries, and is trusted by CISOs at companies including Datavant and Axos Financial.
