AI-Infra-Guard
by Tencent
AI-Infra-Guard is an intelligent AI Red Teaming platform designed to enhance AI model security through comprehensive vulnerability scanning and risk assessment.
A.I.G (AI-Infra-Guard) is a comprehensive, intelligent, and easy-to-use AI Red Teaming platform developed by Tencent Zhuque Lab.
Primary Use Case
AI-Infra-Guard is primarily used by security professionals and AI developers to identify vulnerabilities in AI frameworks and assess security risks in AI models and infrastructure. It provides a user-friendly interface for conducting thorough security evaluations and generating detailed reports, making it essential for organizations aiming to secure their AI deployments.
- AI Infra Scan for over 30 AI framework components and nearly 400 known CVE vulnerabilities
- MCP Server Scan powered by AI Agent for detecting major MCP security risks
- Jailbreak Evaluation for assessing prompt security risks with curated datasets
- Easy-to-use Web Interface with real-time progress tracking and comprehensive analysis reports
- {"Repurposing":"AI-Infra-Guard can be adapted for educational purposes, training AI developers and security professionals in identifying and mitigating vulnerabilities in AI models."}
- {"Chaining":"Combine AI-Infra-Guard with a SIEM tool like Splunk to correlate AI-specific vulnerabilities with broader network events, enhancing threat detection capabilities."}
- {"Evasion/Detection":"Attackers might attempt to bypass AI-Infra-Guard by obfuscating their payloads or using novel AI attack vectors. Implementing anomaly detection algorithms can help identify such evasion techniques."}
- {"Data Fusion":"Integrate AI-Infra-Guard outputs with threat intelligence platforms to enrich vulnerability data with contextual threat information, improving incident response strategies."}
- {"Automation":"Automate the scanning and reporting process of AI-Infra-Guard using orchestration tools like Ansible, enabling continuous monitoring and rapid response to detected vulnerabilities."}
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