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
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
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
Your entire codebase: understood, investigated, and fixed by AI agents
Our AI agents find every vulnerability in your code and dependencies. Already have a scanner? We’ll ingest those findings too.
Our AI agents trace each vulnerability through your code and cloud. They work just like your best security engineer would if they could investigate every single one.
Maze proves what’s exploitable in your environment, not just reachable in your code. Exploitable findings rise to the top, prioritized by risk to your environment. If a vulnerability is reachable but can’t be exploited in practice, our AI agents close it before it ever reaches your team.
AI agents deliver fixes your developers can use. They trace where the vulnerability came from, identify the owner, and ship the PR directly to them. When no fix exists yet, they recommend a mitigation instead.
AI agents that understand your code.
AI-SCA
Every dependency investigated with deep context
Maze finds every vulnerable dependency, then prioritizes the ones that create real risk for your organization. Our AI-built call graphs pick up where traditional methods stop. They determine exploitability with context from your code and cloud. If it’s exploitable, we help your team fix it fast.
AI-SAST
Find the vulnerabilities others miss
Don’t just match your code against known patterns; Maze agents understand what the code does. That’s how Maze AI agents surface novel vulnerabilities and complex business-logic flaws other tools miss. Then they evaluate each one to determine what’s exploitable in your environment.
Fix your code at machine speed
Our AI agents deeply understand your code and write fixes that match it. Every fix routes to the developer who owns that code. When no logical fix exists, agents recommend a mitigation instead.
One investigation across code and cloud
Running on the same platform, agents mesh your existing cloud findings with our code investigations. Code context enriches cloud, cloud context enriches code. You’re left with one unified ticket per issue instead of multiple.
Finally, code security you can trust
See how Maze AI agents investigate, prove, and fix code vulnerabilities the way your best engineer would.
Think of Maze Code like an AI security engineer that knows your code really well. Maze agents find vulnerabilities across your dependencies and code your team writes. They investigate each one and determine if it’s actually exploitable in your environment, not just whether it’s reachable or present. The vulnerabilities that matter reach your team with technical context, and a fix is routed to a developer. The ones that aren’t risky get closed before they ever hit your backlog.
The previous generation of application security tools are good at finding vulnerabilities. Some even tell you if they’re reachable. But you still end up with thousands of findings and no real way to triage them. Maze investigates every finding the way an expert security engineer would: tracing whether the vulnerable code is actually reached, survives the build, and is exploitable. Most tools look at one of those layers. Our AI agents reason across all of them at once, which is what cuts the noise down to the handful of findings that are real.
Both, and more. The labels matter less than what we do with them, but they are two separate products. Maze covers your third-party dependencies (the SCA side) and the code your team writes (the SAST side) in one place. The difference is what happens after we find something. Instead of handing you another list to research, our AI agents investigate each one to prove what’s exploitable and help you fix them. Traditional SCA and SAST tools skip this investigation layer.
Most reachability stops at the first hop: does your code call the vulnerable function directly? We go further. Our AI agents trace the full call chain, however many hops deep the vulnerability sits, then check your runtime and cloud to see if that path is actually exploitable. That’s how you get the full picture.
These are separate products on the same Maze platform, built to work together. Maze Cloud investigates vulnerabilities in your cloud. Maze Code scans and investigates your code and dependencies. The value is connected context: a vulnerable library is one signal, but that same library running in a production container behind a public-facing load balancer is a completely different risk. Maze connects those dots.
Yes, absolutely. Maze Code can be bought separately from Maze Cloud. Use both together for the additional context and noise reduction, or use Maze Code on its own.
Yes, Maze Code context and fixes appear where developers already work, without making them check another dashboard. It runs in your CI/CD pipeline (GitHub Actions, GitLab CI, CircleCI) and surfaces findings right at the pull request. We have simple ways of pulling the fixes into AI coding agents and aim to support all coding agents.
Yes, Maze Code is both the scanner and the AI investigation/fix layer. It finds the vulnerabilities, then tells you which ones are exploitable and worth fixing. This is where Maze Code differs from Maze Cloud. On the cloud side, Maze ingests findings from the scanners you currently run.
Finding vulnerabilities was never the hard part. Finding the vulnerabilities to care about accurately was. Maze does both.
Maze Code can ingest and dedupe findings from your existing scanners. But you don’t need a scanner to experience the benefits of Maze Code; it comes with one.
The Maze team spends a lot of time making sure our AI agents are incredibly accurate in their reasoning. Every conclusion they reach is grounded in evidence from your code, cloud, and business context. Nothing is a black box. You can open any verdict and see exactly why Maze reached it and what data helped us make that determination.
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. We price based on the size of your cloud infrastructure and are unlikely to be the most expensive tool in your stack.
Yes, Maze is cloud-hosted in AWS. Customers can choose between multi-tenant and single-tenant hosting.
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.
