Maze provides an agentic AI platform for vulnerability management focused on cloud environments. The platform ingests vulnerabilities from cloud vulnerability scanners and deploys AI agents to investigate each vulnerability within the context of the customer's specific environment. The system analyzes vulnerabilities to identify false positives and determine which findings represent genuine exploitable risks. The platform addresses the challenge of vulnerability backlog growth by filtering out false positives, which the company states represent approximately 90% of all findings when investigated in context. The AI agents evaluate vulnerabilities based on exploitability, likelihood of exploitation, and potential impact within the customer's specific cloud infrastructure. This contextual analysis helps security teams focus on the small percentage of vulnerabilities that pose actual risk. Maze provides automated workflows for vulnerability response, including the ability to deploy immediate mitigations for critical vulnerabilities. The platform can create incidents, deploy WAF policies, generate tickets, and send notifications through integrations with existing security and collaboration tools. It offers one-click remediation options that can be sent directly to engineering teams responsible for fixing the issues. The solution targets organizations struggling with large vulnerability backlogs and the challenge of prioritizing remediation efforts. By automating the investigation and triage process that traditionally requires manual analysis by security experts, Maze aims to help security teams identify and respond to critical vulnerabilities before attackers can exploit them.