Problem

Maze addresses the security problem of treating vulnerability findings in isolation. Conventional scanners can analyze systems “in a vacuum,” producing findings without enough environmental or application context to determine what is genuinely exploitable. That creates a costly prioritization and remediation burden: security teams must investigate large volumes of alerts while developers risk spending time fixing issues that do not materially increase risk. The main use case is reducing this noise across an organization’s code and cloud environment by distinguishing harmless findings from vulnerabilities that are actually exploitable and urgent.

Product / Service

Maze is a cloud-hosted cybersecurity platform that uses AI agents to investigate vulnerabilities across code and cloud through a unified engine. The agents understand the customer’s environment, combine context from code and cloud, prove which findings are exploitable, and prioritize the vulnerabilities that matter. For confirmed issues, Maze can generate a fix and route it to the developer or AI agent responsible for the relevant code. Its capabilities include cloud vulnerability triage, AI-powered software composition analysis for dependencies, and AI-powered static analysis for business-logic vulnerabilities that traditional SAST may miss. Customers can use AWS-hosted multi-tenant or single-tenant deployment, with the intended benefit of faster, more accurate triage and less manual remediation work.

Market

Maze competes in cybersecurity, particularly the emerging space around vulnerability investigation, prioritization, and remediation across application code, dependencies, containers, virtual machines, and cloud environments. The company says there are no directly comparable products and that it does not fit neatly into adjacent labels such as CTEM, RBVM, UVM, RemOps, or ASPM, positioning it instead as an AI-agent platform for investigating, triaging, and resolving code and cloud vulnerabilities.

The available evidence does not disclose revenue, funding, customer count, or enough operating data to determine whether Maze is pre-revenue. Its public company profile lists a London headquarters and 11–50 employees, which indicates an operating company but is not sufficient to quantify commercial traction. The strongest available traction signal is therefore product and market positioning rather than verified financial or customer metrics.