Exploitability: The Fastest Way to Fewer False Positives

## Executive summary This whitepaper outlines Maze's approach to vulnerability prioritization using AI agents that reason about exploitability (environment-specific prerequisites for successful exploitation) and incorporate reachability signals (static, runtime, and network) as supporting evidence to reduce false positives and prioritize remediation; it includes illustrative CVE examples and emphasizes non-intrusive data collection from cloud control planes rather than deploying sensors.