Notes

Explore multiple learning paths through AI security, from fundamentals to advanced specialization in agent security or cloud infrastructure.

Hands-on labs for AI Security and Defense - Learn LLM security, MCP protocol, A2A multi-agent system security, and multi-cloud defense

A hands-on learning lab that introduces Cisco A2A Scanner, teaching how to detect and mitigate security risks in multi-agent AI systems using the Agent-to-Agent protocol.

A hands-on learning lab that introduces Cisco MCP Scanner, teaching how to detect, analyze, and mitigate security risks in Model Context Protocol (MCP) servers, tools, and AI agent integrations.

A hands-on learning lab that introduces Cisco Multicloud Defense, teaching how to unify security controls across cloud environments and protect workloads with Infrastructure as Code.

A hands-on learning lab that introduces Cisco AI Defense, covering AI security threats, model validation, runtime protection, and best practices for securing enterprise AI across its lifecycle