Overview
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.
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Simplify's take
What believers are saying
- Maze's 2026-11-04 update expands AI agents across code, dependencies, and containers.
- Maze claims nine in ten investigated vulnerabilities are not exploitable, cutting triage noise.
- October 2026 customer stories, including Cohere Health, show rapid adoption and outcomes.
What critics are saying
- Wiz, Snyk, and Palo Alto keep compressing Maze's category with bundled platforms.
- Maze is not a runtime detection tool, leaving active-attack coverage gaps.
- If exploitability claims disappoint, security teams will revert to scanner vendors immediately.
What makes Maze unique
- Maze proves exploitability with code, cloud, and runtime context, not static rules.
- Maze Code and Container share context across SAST, SCA, and remediation.
- Maze routes verified fixes into Jira, ServiceNow, Linear, or coding agents.
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