From MCP Security to Agentic AI: Adapt Your AI Security Strategy

Enterprises are rapidly adopting the Model Context Protocol (MCP) to connect AI models to external tools and data, but early protocol versions and many deployed servers lack robust authorization and vary widely in security. Gartner cautions that remote or legacy MCP servers should be treated as untrusted and recommends inventories, HTTPS, and workload hardening. The document describes how Aqua Secure AI offers discovery, eBPF-based runtime visibility, detection of prompt-injection and data exposure, unified forensics, and non-intrusive deployment to mitigate MCP-related risks.