Kadag

Kadag AI Tool Overview

Kadag is an advanced AI-driven platform that provides security testing for containerized web applications and APIs, focusing on finding hidden vulnerabilities before applications are deployed. It operates by running applications within an instrumented environment, where AI agents interact with the application, similarly to how a security engineer would. The platform leverages access to application source code and runtime instrumentation, including the browser context to perform thorough security inspections.

"Kadag runs your app in an instrumented environment where security AI agents uncover security flaws - with access to code and runtime."

Methodology of Kadag

The Kadag platform employs a streamlined process to ensure comprehensive security testing:

• GitHub Integration: Users can install the Kadag GitHub app, which facilitates code access integration, allowing the platform to clone the repository and set up the application in a sandbox virtual machine using 'docker compose up'.
• AI Agents Activity: The artificial intelligence agents of Kadag engage with the application as a security engineer, combining the knowledge of source code and runtime information for insightful security probes.
• Vulnerabilities Report: Any discovered security vulnerabilities are reported with details for reproducing the problem and tailored remediation recommendations to address the specific issues within the user's app.

Main Features Of Kadag

Kadag stands out with several key features that cater to the needs of modern developers and security professionals:

• Deep and Contextual: Kadag's agents perform context-aware testing, integrating both code and runtime analysis for better issue discovery.
• No Noise: Reports focus on real-world scenarios, ensuring that all flagged issues come with a reproduction script.
• Tested Vulnerability Remediations: Provides remediation solutions that have been validated within the instrumented environment, ensuring they do not compromise the app's functionality.
• Autonomous AI Agents: Employs self-driven AI agents that adapt to the application's evolving landscape without manual configurations.

Kadag presents itself as a sophisticated, AI-driven security solution designed to dissect contemporary web applications in their native containerized environments for preemptive identification and correction of potential security threats.