Understands your code and cloud together
Context is assembled from your code, runtime, cloud, controls, and more, so agents have all they need.
Maze has made it feel like we have a team of security engineers that I can confidently rely on for triaging vulnerabilities.

Context is assembled from your code, runtime, cloud, controls, and more, so agents have all they need.
Custom infrastructure trains agents for specific security tasks, so each works like your best security engineer.
Multiple layers of validation catch errors as agents work, delivering results you can rely on.
Agents learn when to use expensive AI models and when to rely on cost-efficient techniques, so you can run them at scale.
By combining context from code, cloud, and more, Maze investigates every vulnerability, shows you what’s not exploitable, and prioritizes the rest.
AI agents recognize zero-day vulnerabilities and triage them before scanners ever see them. AI-SAST finds the flaws in your own code that static scanners miss.

Agents trace each vulnerability to its root cause, verify the fix, and send it to your coding agent or engineer.
Triage and remediate CVEs in containers and VMs, and catch zero-days before scanners see them.
Find, triage, and remediate CVEs in third-party code, using your existing scanner or ours.
Find and fix business-logic vulnerabilities that SAST misses, or triage results from your existing scanner.
Everyone uses AI now. What makes Maze different, and how is the platform built for AI agents?
Why we’re building Maze to be a security company that thinks differently.
Security research, blogs, video, and more from security leaders and the Maze team.