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Maze is a cybersecurity platform that uses AI to manage vulnerabilities and automate remediation for large and midsize organizations, helping them identify and fix cyber risks before attackers exploit them. It autonomously identifies vulnerabilities, prioritizes them by risk, and executes remediation steps within its platform, reducing the need for manual security work. The product is delivered as a subscription-based service and targets a wide client base, from tech scale-ups to Fortune 100 companies. Unlike traditional tools that rely on predefined rules, Maze’s AI-driven decision-making continuously adapts to new threats and prioritizes actions based on risk, enabling faster and more efficient risk reduction. The company’s goal is to give organizations a strategic advantage by continuously surfacing critical weaknesses and streamlining their remediation workflow.
Industries
Enterprise Software
Cybersecurity
AI & Machine Learning
Company Size
11-50
Company Stage
Series A
Total Funding
$31M
Headquarters
London, United Kingdom
Founded
2024
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Total Funding
$31M
Above
Industry Average
Funded Over
2 Rounds
Industry standards
Health Insurance
401(k) Retirement Plan
Remote Work Options
Unlimited Paid Time Off
Flexible Work Hours
Stock Options
Company Equity
Wellness Program
Mental Health Support
Professional Development Budget
Conference Attendance Budget
Phone/Internet Stipend
Home Office Stipend
Family Planning Benefits
Fertility Treatment Support
Maze, a security platform using AI agents, has launched Maze Code, extending its cloud security capabilities to code and dependencies. The new suite includes AI-powered software composition analysis and static application security testing tools that investigate vulnerabilities, filter noise and automate remediation. Maze Code builds on the company's existing cloud product foundation, trained on millions of investigations over two years. The platform's agents analyse code and cloud context together, investigating each finding to prove exploitability rather than relying on static rules. Early results show approximately 90% of common vulnerabilities and exposures are not exploitable in context. When vulnerabilities are confirmed, Maze agents identify root causes and deliver verified fixes via pull requests or coding agents. The company serves customers including Alloy.
Maze Launches With $31 Million for Its AI Agents That Stop Cloud Security Breaches
British startup Maze, a platform that uses AI agents to investigate and resolve cloud security vulnerabilities, today announced a €21.8 million Series A round to continue growing its team and expand into new use cases for its AI-native security platform.
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Industries
Enterprise Software
Cybersecurity
AI & Machine Learning
Company Size
11-50
Company Stage
Series A
Total Funding
$31M
Headquarters
London, United Kingdom
Founded
2024
Find jobs on Simplify and start your career today