Mayhem is an automated application and API security testing platform that employs advanced techniques like fuzzing combined with proprietary symbolic execution to systematically identify software vulnerabilities. It dynamically analyzes code by generating thousands of tests per minute, exploring all possible execution paths to uncover defects such as memory leaks and crash scenarios. The platform integrates machine learning to optimize test coverage by learning from historical data patterns, while its automated triage system validates findings and prioritizes vulnerabilities based on severity. Mayhem supports compliance with industry standards like ISO 21434 and NIST SSDF through audit-ready test exports. It features dynamic SBOM analysis, API security testing, virtualized ECU testing for automotive hardware validation, and false-positive elimination via automated reproduction of every reported vulnerability. The platform integrates with CI/CD pipelines and third-party tools like Snyk while providing remediation guidance for developers, using a hybrid approach combining fuzzing, symbolic execution, and AI-generated test cases to surpass traditional coverage limits.
