OpenDeRisk – Open-Source AI-Native Risk Intelligence Management System

What is OpenDeRisk？

OpenDeRisk is an AI-native risk intelligence management system that provides 24/7 comprehensive protection for application systems. The system leverages Deep Research Root Cause Analysis (DeepResearch RCA) to quickly identify the root causes of issues and combines this with a visual evidence chain to make the diagnostic process clear and transparent. Built on a multi-agent collaborative architecture—including agents such as SRE-Agent and Code-Agent—OpenDeRisk enables efficient risk diagnosis and management. The system uses the open-source OpenRCA dataset and supports an open architecture, allowing developers to directly utilize it.

Key Features of OpenDeRisk

Deep Root Cause Analysis: Analyzes logs, traces, and code to rapidly pinpoint the root causes of issues.
Visual Evidence Chain: Fully visualizes the diagnostic process and evidence chain, making issue resolution clearer and easier to assess.
Multi-Agent Collaboration: Multiple agents (e.g., SRE-Agent, Code-Agent, ReportAgent) work together to achieve efficient risk management.
Open and Open-Source Architecture: Fully open and open-source framework, enabling developers to directly leverage the system and associated code.

Technical Principles of OpenDeRisk

Multi-Agent Architecture: Includes SRE-Agent, Code-Agent, ReportAgent, Vis-Agent, and Data-Agent. Agents collaborate to handle complex tasks, such as Code-Agent dynamically writing code for final analysis.
Data Layer: Pulls large-scale OpenRCA dataset (~20GB) from GitHub, decompresses, and processes it locally for analysis.
Logic Layer: Implements DeepResearch RCA via multi-agent collaboration. AI analyzes logs, traces, and code to quickly locate root causes.
Visualization Layer: Uses Vis protocol to dynamically render the entire process, evidence chain, and multi-agent collaboration. Provides an intuitive visual interface for rapid understanding and decision-making.

Project Links

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

Applications of OpenDeRisk

Software Development & Operations: Quickly identify root causes in software systems, helping developers and operators efficiently troubleshoot, improving code quality and system stability.
IT Infrastructure Management: Real-time monitoring of IT infrastructure, rapid fault diagnosis, repair suggestions, and performance optimization to ensure business continuity.
Cybersecurity: Analyze security incidents, quickly trace attack sources, monitor network traffic, and provide early warnings to maintain network safety.
FinTech: Assess financial risks, detect fraud, and provide decision support for risk management and security in financial institutions.
Industrial IoT: Predict equipment failures, optimize production processes, improve industrial efficiency and quality, and ensure stable equipment operation.