British cloud security start‑up Maze has banked $25 million in early stage capital to build software that deploys swarms of autonomous “agents” to hunt for and fix the vulnerabilities that expose businesses to hacker attacks.
The London-based company said the Series A financing was provided by Theory Ventures, Cherry Ventures and Tapestry VC. Maze has raised a total of $31 million since launching nine months ago.
Unlike traditional vulnerability‑management products that dump long lists of missing patches on security teams, Maze and its investors are betting on finding profits in software that uses AI-powered agents to automate critical parts of the process.
Maze is building technology that models the workflow of an experienced analyst: each agent ingests telemetry from a customer’s public‑cloud accounts, reproduces the steps an attacker would take to move laterally and then either closes the gap automatically or flags a concise set of exploitable weaknesses.
Maze and its investors believe that LLMs have matured enough to let software reason through the quirks of individual cloud deployments. The company said the AI agents break a workload into thousands of concurrent tasks, giving the system the scale to test every possible path an attacker might take.
“Maze can accurately identify the tiny number of vulnerabilities that are exploitable 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,” the company said.
Maze said early pilots are running inside more than 10 organizations, including two Fortune 200 companies.
Maze plans to use the fresh capital to beef up staff and to extend the agent framework beyond vulnerability management to other cloud security tasks.
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