Kadag Security is an AI-driven application security testing platform designed to identify vulnerabilities in web applications and APIs. By running applications within a controlled, instrumented environment, Kadag's autonomous AI agents interact with both the source code and runtime behavior to uncover security flaws that traditional tools might overlook. Key Features and Functionality: - Deep and Contextual Analysis: Kadag combines code review with runtime instrumentation to achieve comprehensive testing coverage, enabling the detection of complex vulnerabilities. - Zero Noise Reporting: Each identified vulnerability includes a reproducible script, eliminating false positives and streamlining the remediation process. - Tested Vulnerability Remediations: AI-generated fixes are validated within the same instrumented environment, ensuring that applied solutions do not disrupt existing functionality. - No Configuration Required: Kadag operates seamlessly with containerized applications using Docker, requiring no manual instrumentation or configuration, and adapts to various technology stacks. Primary Value and Problem Solved: Kadag Security addresses the limitations of conventional security testing tools by providing an AI-driven approach that offers deep, contextual analysis of applications. This method effectively identifies critical vulnerabilities, including business logic flaws and authentication issues, before deployment. By integrating directly with development workflows, Kadag enhances security measures without adding complexity, ensuring robust protection for web applications and APIs.