Maze uses AI agents to solve vulnerability management, built to investigate each CVE the way a great security engineer would if they had unlimited time. Maze gathers the right context to determine what is technically exploitable in your cloud, not just what looks risky on paper. Teams use Maze to prove what is actually exploitable and identify true severity, so security can focus on real risk while engineering gets the context and steps they need to fix issues faster.
Maze Data Sheet - Maze
January 20, 2026
Security
2025: The Year Vulnerabilities Broke Every Record
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January 5, 2026
Security
Vulnerability Déjà Vu: Why the Same Bug Keeps Coming Back
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December 29, 2025
Security
The Cross-Platform False Positive Problem: Why Vulnerability Scanners Flag Windows CVEs on Linux
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December 22, 2025
Security
The Language Barrier: Why Security and Engineering Are Never Aligned
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December 4, 2025
Product
An Analyst's Take on Maze: AI That Actually Moves the Needle on Vulnerability Management
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November 27, 2025
Security
Checkbox Security - Compliance Driven Security is Bound to Fail
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November 25, 2025
Security
The Hidden Problem With CVSS: The Same CVE Gets Different Scores
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November 12, 2025
Product
Meet Maze: AI Agents That Bring Clarity to Vulnerability Chaos
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October 22, 2025
Company
Maze Named a Cloud Security Segment Leader in the 2025 Latio Cloud Security Report
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August 1, 2025
Security Automation
Why we can't just auto-fix all our vulnerabilities away, yet
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June 26, 2025
Case Studies
AI Vulnerability Analysis in Action: CVE-2025-27363
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June 19, 2025
Product
From Rules to Reasoning: The Shift That Made Maze Possible
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June 12, 2025
Company
The Vulnerability Management Problem
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June 10, 2025
Company
Launching Maze: AI Agents for Vulnerability Management
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