What Is OpenDeRisk
OpenDeRisk is an AI-native risk intelligence management system that supports providing 7×24 comprehensive protection for application systems. The system is based on Deep Research RCA (DeepResearch RCA), quickly locating the root cause of problems, and combined with a visual evidence chain, making the diagnostic process clear and transparent. The system is based on a multi-agent collaboration architecture, including multiple agents such as SRE-Agent and Code-Agent working together to achieve efficient risk diagnosis and management. OpenDeRisk is based on the open-source OpenRCA dataset and supports an open-source architecture, making it easy for developers to use directly.
OpenDeRisk's Main Features
- Deep Root Cause Analysis: Based on analyzing logs, traces, and code, quickly locate the root cause of problems.
- Visual Evidence Chain: Fully visualize the diagnostic process and evidence chain, making problem diagnosis clearer and making it easier to quickly judge accuracy.
- Multi-Agent Collaboration: Multiple agents (such as SRE-Agent, Code-Agent, ReportAgent, etc.) work together to achieve efficient risk management.
- Open and Open-Source Architecture: With a fully open and open-source architecture, it supports the direct use of related frameworks and code in open-source projects.
OpenDeRisk's Technical Principles
- Multi-Agent Architecture: Based on a multi-agent architecture, including SRE-Agent, Code-Agent, ReportAgent, Vis-Agent, and Data-Agent, etc. The agents collaborate to complete complex tasks, such as Code-Agent dynamically writing code for final analysis.
- Data Layer: Pull a large-scale OpenRCA dataset (about 20GB) from GitHub, and perform local processing and analysis after decompression.
- Logic Layer: Implement Deep Research RCA (DeepResearch RCA) based on multi-agent collaboration. Use AI technology to analyze logs, traces, and code, and quickly locate the root cause of problems.
- Visualization Layer: Dynamically render the entire processing flow and evidence chain based on the Vis protocol, as well as the process of multi-role collaboration and switching. Provide an intuitive visual interface to help users quickly understand and judge problems.
OpenDeRisk's Project Address
- GitHub Repository：https://github.com/derisk-ai/OpenDerisk
OpenDeRisk's Application Scenarios
- Software Development and Operations: Quickly locate the root cause of problems in software systems, help development and operations personnel efficiently troubleshoot faults, and improve code quality and system stability.
- IT Infrastructure Management: Monitor the status of IT infrastructure in real time, quickly diagnose faults and provide repair suggestions, optimize performance, and ensure business continuity.
- Network Security: Analyze security incidents, quickly locate the source of attacks, monitor network traffic in real time, warn of potential risks, and ensure network security.
- Financial Technology: Assess financial risks, identify fraudulent behavior, and provide decision support for financial institutions' risk management and security protection.
- Industrial IoT: Predict equipment failures, optimize production processes, improve the efficiency and quality of industrial production, and ensure stable equipment operation.