Mayhem Code Security is an automated application security testing platform that uses AI-driven behavioral analysis to identify vulnerabilities in software applications. The platform employs multiple testing techniques including fuzz testing and symbolic execution, running thousands of tests per minute to detect both known and unknown security defects. The tool accepts dockerized images without requiring recompilation, making it compatible with existing development workflows. It continuously generates tests autonomously, expanding code coverage over time through machine learning algorithms that adapt and learn from the application behavior. For each identified defect, Mayhem provides detailed reproduction steps, backtraces, and prioritization based on risk assessment. The platform operates as a continuous testing solution that runs in the background, surfacing new defects as code evolves while tracking code coverage improvements. The testing approach goes beyond traditional static analysis by executing the application and observing runtime behavior. This dynamic testing methodology enables detection of vulnerabilities that may not be apparent through code review alone. Results are deduplicated and prioritized to help development teams focus on the most critical security issues requiring immediate remediation. Mayhem integrates into CI/CD pipelines and supports containerized environments, allowing security testing to occur throughout the software development lifecycle without disrupting developer workflows.