# AI-SAST **URL:** https://mazehq.com/solutions/ai-sast **Date:** 2026-09-22 Maze AI-SAST # The AI security engineer for your code ## Maze agents understand every line of code, catch the vulnerabilities a rules-based scanner miss, and clear false positives that bury your team. [Book a Demo](https://mazehq.com/demo) --- ![Alloy](https://mazehq.com/wp-content/uploads/2026/06/alloy.svg) ![Contentful](https://mazehq.com/wp-content/uploads/2026/06/contentful.svg) ![Cohere](https://mazehq.com/wp-content/uploads/2026/06/cohere-framed-1.svg) ![Halcyon](https://mazehq.com/wp-content/uploads/2026/06/halycon.svg) ![Forge Holiday Group](https://mazehq.com/wp-content/uploads/2026/06/forge-1.svg) ![PartsSource](https://mazehq.com/wp-content/uploads/2026/06/partssource-logo.svg) ![moneycorp](https://mazehq.com/wp-content/uploads/2026/09/moneycorp-logo-white.svg) > Maze has made it feel like we have a team of security engineers that I can confidently rely on for triaging vulnerabilities. Nathan Cooke Engineering Manager, Product Security, Alloy > When we think about how to get the noise out of vulnerability scanners, the answer is now Maze. Jonathan King Sr. Cloud & AI Security Engineer, Cohere Health > Maze actually understands what’s exploitable in our environment, not just CVSS or EPSS, but truly exploitable. That’s what set Maze apart from every other vendor. Jonathan Mattey Chief Information Security Officer, Forge > Vulnerability scanners analyze a system in a vacuum. Maze shows you what’s actually on fire. Ted Kieffer Head of Information Security and Risk Management, PartsSource --- ### Agents understand your whole codebase Agents reason across your code Agents read your entire codebase and follow how services, functions and data connect. Understanding your code is how agents catch hard-to-spot flaws rules-based scanners miss, no matter how many layers deep.![](https://mazehq.com/wp-content/uploads/2026/09/Group-1410145480.png) Every code change, investigated Maze agents triage each finding. They check changes before code merges, clear the false positives, and reassess severity using your code and cloud context.![](https://mazehq.com/wp-content/uploads/2026/09/add-bulk-export-for-reports.png) One platform for code and cloud Every finding shares one model of your environment. Wherever the vulnerability lives, it’s investigated with everything Maze knows about your systems.![](https://mazehq.com/wp-content/uploads/2026/09/every-finding-traced-to-its-root-cause.png) ![](https://mazehq.com/wp-content/uploads/2026/09/Group-1410145480.png) ![](https://mazehq.com/wp-content/uploads/2026/09/add-bulk-export-for-reports.png) ![](https://mazehq.com/wp-content/uploads/2026/09/every-finding-traced-to-its-root-cause.png) --- ###### Let Maze clear your backlog --- ![](https://mazehq.com/wp-content/uploads/2026/09/Group-1000008005.png) ![](https://mazehq.com/wp-content/uploads/2026/09/Group-1000008006.png) ![](https://mazehq.com/wp-content/uploads/2026/09/integrations.png) Proven exploitable or closed Nine in ten vulnerabilities Maze investigates aren’t exploitable. Maze closes the ones that aren’t and surfaces the rest to your team, with evidence behind every verdict. From finding to fixed, in minutes Agents bundle proven-exploitable CVEs into a high-impact fix and recommend mitigations when patching isn’t an option. Fixes route to the correct owner. Works with tools you already use Maze meets developers where they’re at, integrating with tools like Jira, ServiceNow, and Linear, or directly into their coding agents via API or MCP. ###### Deeper, more accurate investigations --- ![](https://mazehq.com/wp-content/uploads/2026/09/storefront-reports.png) ### Exploitability, not reachability Maze agents determine exploitability, surfacing only true positives. Then they prioritize based on risk using context from your code, build, and runtime. --- ![](https://mazehq.com/wp-content/uploads/2026/09/verdict-analysis.png) ### Precision you can rely on Agents apply a deep understanding of your code and cloud to every finding. They’re trained on millions of investigations and validated continuously. --- ![](https://mazehq.com/wp-content/uploads/2026/09/risk-assessment.png) ### Risk based on your context Once Maze agents determine a finding is exploitable, they assess its blast radius and how realistic the attack is, using your context, so you know what to fix first. --- ![](https://mazehq.com/wp-content/uploads/2026/09/investigation-depth.png) ### Frontier reasoning without frontier cost Investigate every finding. Agents know when to reach for a frontier model and when to rely on a cost-efficient technique, so you can run them at scale. --- ###### The AI security engineer for your code See how Maze AI agents investigate, prove, and fix code vulnerabilities the way your best AppSec engineer would. [Book a Maze Demo](https://mazehq.com/demo) --- ## Frequently Asked Questions See how Maze AI agents investigate and resolve cloud vulnerabilities like your engineer would. [Get in touch](https://mazehq.com/contact-us) #### What is Maze AI-SAST?![](https://mazehq.com/wp-content/themes/okd/static/img/accordion_plus.svg) Think of it as an experienced security engineer reading your code. Maze agents understand every line, catch the vulnerabilities a rules-based scanner can’t, and clear the false positives that bury your team. Every finding is investigated to prove whether it’s exploitable, and the ones that matter arrive with evidence and a fix. #### How is this different from the SAST tool I already run?![](https://mazehq.com/wp-content/themes/okd/static/img/accordion_plus.svg) Your SAST tool matches patterns, and most of what it finds isn’t real. Maze agents read your code the way a security engineer would, so they find the flaws rules can’t describe and investigate every finding to prove what’s exploitable. Most turn out to be noise, and we show you why. #### Is Maze Code a scanner?![](https://mazehq.com/wp-content/themes/okd/static/img/accordion_plus.svg) Yes. Maze Code scans both your code and your dependencies, so you don’t need a separate scanner to get started. It also integrates with the third-party scanners you already run, ingesting and deduping their findings and investigating them. #### Can Maze find vulnerabilities a rules-based scanner can’t?![](https://mazehq.com/wp-content/themes/okd/static/img/accordion_plus.svg) Yes. A rule can only describe a pattern someone has already seen. Maze agents understand what your code is meant to do, so they catch flaws in your business logic, like skipping a check, or letting one user act as another. No signature matches those. #### Isn’t this just an LLM reading my code?![](https://mazehq.com/wp-content/themes/okd/static/img/accordion_plus.svg) An LLM is part of it, but on its own that isn’t enough. Maze agents gather the context a security engineer would want first, like the call graph, data flow, build, and runtime, and pick the right method for each step. The harnesses around the model are what make verdicts reliable. #### How do you stop the agents from making up findings?![](https://mazehq.com/wp-content/themes/okd/static/img/accordion_plus.svg) Every verdict is grounded in evidence from your code and cloud. Nothing is a black box, so you can open any finding and see exactly why Maze reached that conclusion. Our agents are tested continuously by internal and external security experts to catch errors before you see them. #### Does Maze need Maze Cloud to know what’s exploitable in my code?![](https://mazehq.com/wp-content/themes/okd/static/img/accordion_plus.svg) No. Maze Code works on its own, investigating every finding with context from your code and build. Add Maze Cloud and agents also see how that code runs in production. #### Does it run in my CI pipeline and pull requests?![](https://mazehq.com/wp-content/themes/okd/static/img/accordion_plus.svg) Yes. Maze Code runs in your CI/CD pipeline (GitHub Actions, GitLab CI, CircleCI) and surfaces findings right at the pull request. Fixes route to the developer who owns the code or to the coding agents your team already uses. #### How long does it take to get started?![](https://mazehq.com/wp-content/themes/okd/static/img/accordion_plus.svg) Deployment can be done in under five minutes. All we need is a read-only role in your cloud environment and an API connection to one or more vulnerability scanners. #### How does pricing work?![](https://mazehq.com/wp-content/themes/okd/static/img/accordion_plus.svg) We aim to keep pricing simple and fair. Large language models aren’t cheap, but we’ve worked hard to optimize cost and performance to make sure our pricing is reasonable. #### Is Maze hosted in the cloud?![](https://mazehq.com/wp-content/themes/okd/static/img/accordion_plus.svg) Yes, Maze is cloud-hosted in AWS. Customers can choose between multi-tenant and single-tenant hosting. #### What compliance standards do you meet?![](https://mazehq.com/wp-content/themes/okd/static/img/accordion_plus.svg) Maze has been built for enterprise from day one. We have passed our ISO 27001 accreditation and are currently in our SOC 2 Type 2 observation window. --- --- ## One platform for code & cloud --- [ ### Cloud Vulnerabilities Triage and remediate CVEs in containers and VMs, and catch zero-days before scanners see them. ](https://mazehq.com/platform/cloud) [ ### Dependencies (AI-SCA) Find, triage, and remediate CVEs in third-party code, using your existing scanner or ours. ](https://mazehq.com/platform/code) [ ### Your Code (AI-SAST) Find and fix business-logic vulnerabilities that SAST misses, or triage results from your existing scanner. ](https://mazehq.com/platform/code) [ ### Why Maze? Everyone uses AI now. What makes Maze different, and how is the platform built for AI agents? ](https://mazehq.com/platform) [ ### Our Story Why we’re building Maze to be a security company that thinks differently. ](https://mazehq.com/our-story) [ ### Resources Security research, blogs, video, and more from security leaders and the Maze team. ](https://mazehq.com/resources) --- Resources Selected Resources [View all resources](https://mazehq.com/resources) --- [[Product] ## SCA that investigates every dependency like your best security engineer Open-source packages are built into every application, and so are the countless vulnerabilities found in their direct and transitive dependencies. For years, SCA tools have been great at… September 30, 2026 ![](https://mazehq.com/wp-content/uploads/2026/09/Blog-1024x764.jpg) ](https://mazehq.com/blog/sca-that-investigates-every-dependency-like-your-best-security-engineer) - [[Security] ### There’s a ten-year-old key confusion bug in PyJWT, fixed in 2.14.0 September 16, 2026 ](https://mazehq.com/blog/theres-a-ten-year-old-key-confusion-bug-in-pyjwt-fixed-in-2-14-0) - [[Product] ### Fix-ready Jira tickets, straight from Maze September 2, 2026 ](https://mazehq.com/blog/fix-ready-jira-tickets-straight-from-maze) - [[Product] ### Managing vulnerabilities requires knowing your business context August 19, 2026 ](https://mazehq.com/blog/managing-vulnerabilities-requires-knowing-your-business-context) ---