Securing Multi-Agent Systems: A2A, MCP, Memory, and Cross-Agent Trust Boundaries
Explore multi-agent AI security: A2A protocol hardening, MCP boundary enforcement, cross-agent memory isolation, and trust boundary design patterns.
Explore multi-agent AI security: A2A protocol hardening, MCP boundary enforcement, cross-agent memory isolation, and trust boundary design patterns.
A comprehensive security assessment of the Model Context Protocol covering threat modeling, attack surface analysis, pentest methodologies, prompt injection test cases, and hardening strategies for MCP servers and clients.
Model Context Protocol (MCP) is an open standard enabling AI assistants to communicate with external tools and data sources seamlessly. Learn how MCP works, its architecture, and why it matters.