Maze, a London-based cybersecurity start-up, has secured £19.6 million in Series A funding to advance its AI-native platform. The platform deploys autonomous agents to detect and fix exploitable cloud vulnerabilities and the company, which launched just nine months ago, has now raised a total of £24.3 million.
Maze aims to automate complex tasks typically handled by seasoned security analysts. Instead of overwhelming teams with extensive patch lists, Maze’s AI-powered agents mimic attacker behaviour across cloud environments, identifying high-risk gaps and resolving them automatically or flagging them with precision.
According to Maze, this approach enables real-time, large-scale testing of potential attack paths by breaking workloads into thousands of parallel tasks.
The Series A funding was provided by investors Theory Ventures, Cherry Ventures, and Tapestry VC, who are backing the company’s vision to build a broader cloud security platform beyond just vulnerability management.
Maze has already begun early pilots with more than 10 organisations, including two Fortune 200 firms. The new capital will be used to expand staff and extend the agent framework to other cloud security tasks.
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