Maze, the new platform that uses AI agents to investigate and resolve cloud security vulnerabilities, today announced a £18.5m Series A round led by Theory Ventures, with participation from existing investors Cherry Ventures and Tapestry VC. Coming less than a year after the company’s founding and 9 months after a £4.5m seed round led by Cherry Ventures, this brings total funding to £23m. Maze plans to continue growing its team and expand into new use cases for its AI-native security platform.
Vulnerabilities are a rapidly growing pain point for modern security teams. In 2024, vulnerability exploitation increased by 34%, overtaking phishing amongst top causes of security incidents. The number of known vulnerabilities (CVEs) is also on the rise, increasing by nearly 40% in 2024. Given that most enterprises can only fix about 10% of their open vulnerabilities each month, and with AI now making attackers more effective, security teams need new solutions.
Maze has been built from the ground up to take full advantage of modern AI technology. Maze’s AI agents are designed to operate and think like humans, instead of relying on pre-defined logic and rules. By deploying thousands of agents to investigate their customer’s cloud data, Maze can accurately identify the tiny number of vulnerabilities that are exploitable in their environment and likely to cause a breach, resolving them automatically. Starting with an agent for investigating, triaging, and resolving cloud vulnerabilities, Maze is developing a comprehensive, AI-native security platform.
Maze’s founding team includes Wetherald, Adrian Jozwik, and Santiago Castineira, who previously led product, design, and engineering teams at Tessian, Elastic, and Amazon. Together with a veteran team of ex Meta, Adyen, and Nvidia engineers, they built Maze’s first AI agent by replicating the workflow of expert human analysts. The agents have been deployed in production with over ten organisations, including two of the Fortune 200, and a number of high-growth technology companies.
