RSAC 2026's dominant theme was agentic AI security — AI agents are now the target. Cisco's DefenseClaw, the MCP server problem, and a five-step playbook for securing autonomous agents.
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.
A deep dive into securing AI agent supply chains — MCP server vetting, dependency integrity, sandboxing, and trust anchors for AI infrastructure.