SASE security architectures lack visibility into AI agent tool-use and data exfiltration

Traditional Secure Access Service Edge (SASE) solutions fail to inspect the semantic intent of encrypted traffic between AI agents and LLMs. This creates a security blind spot where agents can utilize Model Context Protocol (MCP) tools to exfiltrate proprietary data while appearing as legitimate HTTPS traffic.