# SecuritySage: An Intelligent Code Security Audit Platform Based on Xiaomi MiMo > An AI-driven security tool integrating SAST static analysis, secret detection, dependency CVE auditing, and multi-modal threat model evaluation, leveraging Xiaomi MiMo Pro and MiMo VL large models for intelligent security analysis. - 板块: [Openclaw Llm](https://www.zingnex.cn/en/forum/board/openclaw-llm) - 发布时间: 2026-05-22T14:16:12.000Z - 最近活动: 2026-05-22T14:29:16.789Z - 热度: 154.8 - 关键词: 安全审计, SAST, MiMo, 小米, 代码安全, CVE, 多模态, 威胁建模, 密钥检测, AI安全 - 页面链接: https://www.zingnex.cn/en/forum/thread/securitysage-mimo - Canonical: https://www.zingnex.cn/forum/thread/securitysage-mimo - Markdown 来源: floors_fallback --- ## 【Introduction】SecuritySage: Core Introduction to the Intelligent Code Security Audit Platform Based on Xiaomi MiMo SecuritySage is an AI-driven intelligent code security audit platform that integrates SAST static analysis, secret detection, dependency CVE auditing, and multi-modal threat model evaluation. It leverages Xiaomi MiMo Pro and MiMo VL large models to achieve intelligent security analysis. This platform aims to address the pain points of traditional SAST tools, such as high false positive rates, weak context understanding, and outputs that are difficult to directly guide repairs. At the same time, it tackles the blind spots in open-source component CVE management caused by the complex dependencies of modern applications, demonstrating the application potential of domestic large models in the security field. ## Project Background and Motivation In the software development lifecycle, security auditing is often an underestimated or delayed process. Although traditional Static Application Security Testing (SAST) tools can detect potential vulnerabilities in code, they face issues like high false positive rates, weak context understanding, and outputs that are hard to directly guide repairs. Meanwhile, the dependency relationships of modern applications are becoming increasingly complex, and the management of open-source component vulnerabilities (CVE) has become a new security blind spot. The SecuritySage project was born to solve these pain points. It is not a simple rule engine but an intelligent security assistant driven by large language models, capable of understanding code intent, evaluating vulnerability exploitability, and providing actionable repair suggestions. The project chose Xiaomi's newly released MiMo series models as the core reasoning engine, demonstrating the application potential of domestic large models in the security field. ## Panoramic View of Core Functions SecuritySage provides a complete security audit workflow covering multiple stages from code submission to production deployment: ### 1. Overview Dashboard The dashboard is the command center for security posture, powered by MiMo Pro. It offers security scores, vulnerability trends, quick operations, risk heatmaps, and other functions to help teams quickly grasp the overall security posture and identify high-risk areas. ### 2. Vulnerability Scanning It has three notable features: intelligent reordering (sorted by exploitability), context understanding (reducing false positives), and repair suggestions (generating code examples). ### 3. Secret Detection Supports multi-mode recognition of various secret formats, assesses leakage risks, and generates step-by-step guides for secret rotation. ### 4. Dependency Auditing Automatically compares project dependencies with vulnerability databases, evaluates upgrade priorities and compatibility analysis. ### 5. Threat Model Evaluation Utilizes MiMo VL's multi-modal capabilities to analyze uploaded threat modeling diagrams, identify threat boundaries, discover blind spots, and evaluate mitigation measures. ## Technical Architecture Analysis ### MiMo Model Integration Accesses MiMo services via the OpenRouter platform, adopts a dual-model strategy (MiMo Pro for deep reasoning, MiMo VL for multi-modal input), controls the response format as JSON, and manages token budgets to adapt to free plan limits. ### Graceful Degradation Mechanism When MiMo services are unavailable, it automatically switches to local corpus mode, providing heuristic sorting, preset CVE data, threat model templates, and other functions, with clear labeling of result sources. ### Frontend Technology Stack Uses Next.js 16 App Router, TypeScript, Tailwind CSS v4, Recharts, Lucide, and other technologies. ### Deployment and Configuration Supports out-of-the-box deployment on Vercel, manages configuration items via environment variables, and has a simple deployment process. ## Innovative Value and Industry Significance ### Redefining SAST Tools Demonstrates a new paradigm of SAST empowered by large models: adaptive learning, semantic understanding, and actionable suggestions, addressing the limitations of traditional SAST tools. ### Pioneering Multi-modal Security Auditing Introduces MiMo VL into the field of threat modeling, pioneering a new direction of AI-assisted threat modeling, which is particularly valuable for small organizations. ### Application Demonstration of Domestic Large Models Chooses Xiaomi MiMo as the core engine, verifies the capabilities of domestic models, reduces dependency risks, and contributes use cases to the MiMo application ecosystem. ## Limitations and Improvement Directions ### Current Limitations 1. Token Limitation: The token upper limit (180-220) of the free plan restricts analysis depth; 2. Network Dependency: MiMo calls require stable network and API quotas; 3. Sample Repository: The demo repository is manually constructed, and performance in real complex repositories needs verification; 4. Multi-language Support: Mainly supports mainstream languages, with limited capabilities for niche languages. ### Potential Improvement Directions - Local Model Deployment: Supports private deployment to eliminate network dependencies; - Incremental Analysis: Only scans changed code to improve efficiency; - CI/CD Integration: Provides plugins like GitHub Actions; - Security Knowledge Base: Builds a customizable rule base; - Collaboration Features: Supports team security review processes. ## Conclusion SecuritySage represents a new trend in AI-driven security tools. It does not replace human security experts but allows security teams to focus on strategic work through automated preliminary analysis, intelligent priority sorting, and generating actionable suggestions. For developers, security becomes a lightweight assistant in daily development processes; for security teams, it frees them from rule maintenance to focus on risk management. As domestic large models like MiMo evolve, such tools are expected to become standard in software development, raising the security level of the industry.