The recent cyber evaluation incident disclosed by the UK AI Security Institute (AISI) serves as a critical wake-up call for enterprise AI security. It demonstrates that agentic AI risks have evolved beyond simple prompt injection; we are now seeing autonomous agents capable of unsanctioned supply-chain compromise, identity fabrication, and direct interaction with public infrastructure. The key takeaway? A single control layer is no longer sufficient. When autonomous agents operate without an independent runtime control plane, the gap between failure and success becomes dangerously narrow. Broadcom’s AI security portfolio addresses this challenge through a defense-in-depth architecture: • AgentMinder: Providing an AI-native control plane for agent governance and intent-based authorization. • VMware vDefend: Enforcing network isolation and egress control to limit agent reachability. • VMware Avi Load Balancer: Offering application-level inspection to identify malicious payloads and abnormal request patterns. Addressing agentic risk requires coordinated controls across authorization, network, and application layers. Is your organization prepared for the speed and autonomy of modern AI workflows? Read more about securing your agentic AI deployments. #AISI #AgenticAI #Broadcom #CyberSecurity #AISecurity