AI-Infra-Guard is a full-stack AI red teaming platform that secures AI ecosystems through multiple scanning and evaluation capabilities.
The platform addresses the need to identify security vulnerabilities across AI infrastructure and applications. It works by integrating five distinct scanning approaches: Agent Scan for evaluating agent security, Skills Scan for assessing AI skill implementations, MCP Scan for Model Context Protocol server security, AI Infra Scan for infrastructure vulnerabilities, and Jailbreak Evaluation for testing language model robustness against prompt injection and other adversarial techniques. This multi-layered approach allows organizations to conduct comprehensive security assessments across their entire AI stack rather than examining individual components in isolation.
Teams should adopt this tool if they operate AI agents, language models, or AI infrastructure and need systematic vulnerability assessment. It suits organizations building production AI systems where security evaluation is a requirement rather than an afterthought. The platform provides both breadth across different AI system types and depth within each scanning category, making it applicable to diverse AI deployment scenarios from simple LLM applications to complex multi-agent systems.
The project's maintainers respond to issues and pull requests within hours, indicating active engagement with the user community. Work tracked in the issue system centers on enhancements, bug fixes, and user questions, reflecting a development cycle focused on expanding capabilities and addressing reported problems.
