OpenDeRisk - An open-source, AI-native risk intelligence management system

What is OpenDeRisk?

OpenDeRisk is an AI-native risk intelligence management system that provides comprehensive 24/7 protection for application systems. Based on DeepResearch RCA, the system quickly identifies the root causes of problems and, combined with a visualized chain of evidence, makes the diagnostic process clear and transparent. The system utilizes a multi-agent collaborative architecture, including SRE-Agent and Code-Agent, 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.

Main functions of OpenDeRisk

• In-depth root cause analysisQuickly pinpoint the root cause of a problem by analyzing logs, traces, and code.
• Visualized chain of evidenceThe diagnostic process and chain of evidence are fully visualized, making problem diagnosis clearer and facilitating quick assessment of accuracy.
• Multi-agent collaborationMultiple intelligent agents (such as SRE-Agent, Code-Agent, ReportAgent, etc.) work together to achieve efficient risk management.
• Open and open source architectureIt uses a completely open and open-source architecture, supporting the direct use of related frameworks and code in open-source projects.

OpenDeRisk's technical principles

• Multi-agent architectureIt is based on a multi-agent architecture, including SRE-Agent, Code-Agent, ReportAgent, Vis-Agent, and Data-Agent. The agents collaborate to complete complex tasks, such as Code-Agent dynamically writing code for final analysis.
• Data layerPull a large OpenRCA dataset (approximately 20GB) from GitHub, decompress it, and process and analyze it locally.
• Logic layerDeep Research RCA (Research Root Cause Analysis) is achieved through multi-agent collaboration. AI technology is used to analyze logs, traces, and code to quickly pinpoint the root cause of problems.
• Visualization layerBased on the Vis protocol, it dynamically renders the entire processing flow and evidence chain, as well as the process of multi-role collaboration and switching. It provides an intuitive visual interface to help users quickly understand and judge problems.

OpenDeRisk project address

• GitHub repository:https://github.com/derisk-ai/OpenDerisk

Application scenarios of OpenDeRisk

• Software development and maintenanceIt can quickly locate the root cause of problems in software systems, helping developers and operations personnel to efficiently troubleshoot faults and improve code quality and system stability.
• IT infrastructure managementReal-time monitoring of IT infrastructure status, rapid fault diagnosis and repair suggestions, performance optimization, and ensuring business continuity.
• CybersecurityAnalyze security incidents, quickly locate the source of attacks, monitor network traffic in real time, provide early warnings of potential risks, and ensure network security.
• FintechAssess financial risks, identify fraudulent activities, and provide decision support for financial institutions' risk management and security protection.
• Industrial Internet of ThingsPredict equipment failures, optimize production processes, improve the efficiency and quality of industrial production, and ensure stable equipment operation.