Mirror Security Discover is a vulnerability scanning platform designed for generative AI systems and large language models. The tool conducts continuous security testing to identify vulnerabilities specific to AI applications that traditional application security tools do not address. The platform covers multiple attack scenarios including prompt injection attacks, PII leaks, bias exploitation, toxicity amplification, vector database attacks, model extraction, tools and plugin exploits, knowledge extraction, context manipulation, function calling exploits, and AI agentic behavior exploitation. It addresses security concerns across standard chatbots, RAG (Retrieve and Generate) workflows, and AI agent systems. Mirror Security Discover performs AI risk assessments based on industry standards including NIST, MITRE ATLAS, and OWASP frameworks. The tool examines AI/ML operations lifecycles and critical models to identify potential risks and provides actionable insights for security posture improvement. The platform can be deployed as a standalone tool or integrated into CI/CD pipelines for continuous security testing. It provides visual attack path mapping to show exploitation points across various stages of AI pipelines. The tool is compatible with multiple LLM providers and supports testing across different AI system architectures.