Nebulock Raises $25 Million for AI-Native Contextual Security

The cybersecurity startup provides threat hunting, proactive detection, and behavioral security analytics. The post Nebulock Raises $25 Million for AI-Native Contextual Security appeared first on SecurityWeek .

According to SecurityWeek, Nebulock is a cybersecurity startup that raised $25M Series A funding to build an AI-native contextual security platform that turns enterprise activity into a behavioral system of record and delivers autonomous, vendor-agnostic threat hunting and behavioral analytics across endpoints, identity, and cloud.[1][4][5] The platform operates as a SaaS-style, AI-powered threat hunting and detection environment focused on proactive detection and continuous monitoring of enterprise environments.[2][5] From a CyberSE.AI perspective, such AI-native SaaS security platforms both expand the attack surface (through complex AI-driven analytics, multi-tenant data, and integration with many parts of the security stack) and become high-value targets whose compromise could expose behavioral records, detection logic, and integrated telemetry. Organizations adopting Nebulock-like services should assess AI-specific SaaS risks, including data handling, model governance, and resilience of autonomous threat hunting logic, and continuously red-team these AI-driven controls to validate that they behave securely under adversarial conditions.