Agentic AI for Automated Cloud Vulnerability Management

Maze is a London-based cybersecurity startup providing automated powered by agentic AI. The platform prioritizes and mitigates cloud security risks by ingesting data from cloud vulnerability scanners and analyzing each potential issue within organizational context to identify genuinely exploitable threats while suppressing false positives. Its core approach replaces generic severity scoring with contextual, realworld risk assessment that evaluates vulnerabilities against actual attack vectors relevant to each customer’s environment.

Maze delivers prioritized threat detection to surface only the vulnerabilities requiring immediate attention, filtering out low-priority noise that typically overwhelms security teams. The platform also automates remediation workflows, generating actionable mitigation guidance and routing tasks directly to responsible teams through tools like Slack and ticketing systems. By focusing on validated, actionable threats, Maze reports that organizations can reduce vulnerability backlogs by up to 90% while accelerating remediation timelines.

In June 2025, Maze announced a $25 million Series A led by Theory Ventures with participation from two former investors: Cherry Ventures and Tapestry VC. This followed a quiet $6 million seed round led by Cherry Ventures in the latter half of 2024.