AI-driven application security testing for containerized web apps and APIs to detect vulnerabilities with deep code and runtime analysis.
Kadag Security is an AI-driven unified application security testing platform designed for developers, security engineers, and DevOps teams who need thorough vulnerability detection in containerized web applications and APIs. It offers automated, realistic security testing by running applications in an instrumented environment where AI agents analyze both source code and runtime behavior to uncover hidden security bugs.
Kadag Security is an AI-driven application security testing tool focused on containerized web apps and APIs. It leverages source code and runtime instrumentation to find security vulnerabilities missed by traditional scanners.
Unlike conventional static or dynamic scanners, Kadag runs your app in a sandboxed environment with AI agents performing complex, adaptive tests. This approach uncovers deeper logic flaws and security gaps while minimizing false positives.
It detects common issues like SQL Injection, Cross-site Scripting (XSS), Server-side Request Forgery (SSRF), Command Injection, as well as business logic and authentication flaws, covering a broad attack surface.
No custom instrumentation is required. Your application only needs to run in a Docker container; Kadag handles all code and runtime instrumentation transparently.
Kadag currently requires containerized applications, so it may not support legacy or non-containerized environments directly. The platform’s GitHub integration is fully available, with other VCS integrations in progress.
This platform provides an advanced alternative for organizations needing reliable and automated security testing tailored to modern container workflows. Learn more about the tool's capabilities through available demos and integrations.