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OpenDeRisk

AI-Native Risk Intelligence System for 24/7 application risk management and protection.

Information

  • Publisher
    frend guo
  • Websitegithub.com
  • Published date2025/05/29

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GitHub Stats (May 2025)
149
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13
Forks

Introduction

OpenDeRisk

OpenDeRisk is an AI-Native Risk Intelligence System designed to provide comprehensive, 24/7 protection for application systems by identifying and mitigating risks through advanced AI techniques. Developed by derisk-ai, it serves as an intelligent manager for system risks, leveraging a multi-agent architecture to ensure in-depth analysis and rapid response.

Key Features
  • DeepResearch RCA: Utilizes AI to perform root cause analysis by deeply analyzing logs, traces, and code, enabling quick identification of issues.
  • Visualized Evidence Chain: Offers full visualization of the diagnostic process and evidence, making it easier to assess the accuracy of diagnoses.
  • Multi-Agent Collaboration: Incorporates various agents like SRE-Agent, Code-Agent, and Vis-Agent to collaboratively address complex operational diagnostics.
  • Open and Open-Source Architecture: Built on an open-source framework, allowing immediate use and customization in diverse projects.
Use Cases
  • DevOps and SRE Teams: Ideal for Site Reliability Engineers and DevOps professionals who need to maintain system stability and uptime.
  • Enterprise IT Security: Helps large organizations protect critical applications with continuous risk monitoring and mitigation.
  • Software Development: Assists developers in identifying potential risks during the development lifecycle through automated analysis.

OpenDeRisk stands out with its ability to integrate seamlessly into existing systems, providing a proactive approach to risk management with AI-driven insights and collaborative agent technology.