CYBRET AI

CYBRET AI builds AI-native autonomous cybersecurity systems designed to reason, prioritise and act at machine speed across code, identity, cloud and data environments. The company's stated position is a preference for autonomy over automation: systems that understand context and reason about risk, rather than relying on static rules or predefined playbooks. Its technical work spans artificial intelligence, machine learning, autonomous systems, attack graph analysis, reachability analysis and risk-based decisioning, applied to application, cloud, identity and API security.

Central to the offering is the Unified Context Platform, which connects read-only code, cloud, identity and API sources to build a live attack graph. By proving reachability, the platform replaces thousands of raw scanner findings with evidence packs that security teams can act on directly, reducing triage from weeks to hours. The Live Attack Graph component is a continuously updated model of the attack surface drawn from the same connected sources.

The company targets the cybersecurity, software development and cloud computing sectors, and describes its mission as redefining how security teams operate. Internally it emphasises cohesive unified systems over fragmented tooling and a machine-speed operational philosophy.