Cloud vulnerabilities prove to be increasingly difficult to manage. As networks grow more complex, the need to identify and mitigate security weaknesses becomes paramount. This is even more important when we consider the sheer scale of modern cloud infrastructures. Vulnerability scanners provide a great automated and systematic approach to finding potential security gaps, but for most enterprises, it's just the start of the journey to a truly secure cloud environment. Designing a vulnerability management program is difficult and often requires compromises or very substantial investments. The volume of findings is overwhelming, and the number of false positives makes it impossible to find the things that actually matter. Maze is here to change this.
AI Security Engineers at work
Maze deploys a fleet of security AI agents that help your team deal with the overwhelming volume of vulnerabilities in your environment. Our AI agents work alongside your team to ensure the most important gaps get remediated as soon as possible and your engineering team doesn't have to waste time patching findings that can never be exploited.
How is this done? Let's use CVE-2025-27363 as an example.
First step: Our AI agents research a CVE, just like your best security engineer would. This research is used to simulate all potential paths that an attacker could use to exploit the vulnerability in your environment. In this case, an attacker needs to provide a malicious font file - the vulnerability is triggered when a vulnerable version of FreeType attempts to parse that font file.
If we break it down into steps, here's what would make this exploitation possible:
- An attacker must be able to supply a malicious font file to an application or system component that uses the vulnerable FreeType library
- The vulnerable system or application must parse or render TrueType GX or variable font files
- FreeType version 2.13.0 or earlier must be present
Second step: Our AI agents create a comprehensive investigation plan based on your environment. LLMs work together to prepare a list of prerequisites to check in order to thoroughly investigate the finding in context.
Third step: Our AI agents use custom tools that allow them to retrieve data required to confirm if those prerequisites are present in your environment. In this case, here's what they do:
- Check installed libraries and confirm that the vulnerable FreeType version (2.8) is found
- Verify if anything related to font handling can be found on the system. In our case, our AI Security Engineers confirmed that this instance has no font processing services, meaning our system doesn't even have the capability to parse fonts. This alone means the vulnerability cannot be exploited.
- Agents check if there's a way to supply a malicious font file to our system. As expected, they don't see any signals that would suggest this is possible - not surprising since the system isn't designed to parse fonts. This is another signal that gives us full confidence that this CVE cannot be exploited.
Fourth step: Our AI agents perform regular checks to make sure that nothing has changed in your environment. If they notice that the system has been modified and can now parse supplied fonts, it will flag the vulnerability again and mark it as exploitable.
The Future of Vulnerability Management
Traditional vulnerability scanners tell you what might be broken - Maze tells you what actually matters. By combining deep technical analysis with contextual understanding of your specific environment, our AI Security Engineers eliminate the noise that has plagued security teams for years.
The result? Your security team can finally move from reactive patch management to proactive risk mitigation. Your engineering teams can focus on building features that drive business value instead of chasing down vulnerabilities that pose no real threat. And your organization gets the security posture it needs without the operational overhead it can't afford.