The Agentic Security Graph frames this risk across three interconnected layers (LLM, MCP servers, APIs), showing how compromises at any layer can propagate and why existing LLM-focused controls leave the most consequential surface unmonitored.

To secure agentic AI you must discover every agent and MCP server, govern posture across all three layers, and detect u0026 respond to cross-layer attacks in real time.

Salt Security’s operational approach combines continuous discovery (AG‑SPM) with AI-driven detection and response (AG‑DR), enabling inventory, policy-based governance, behavioral analytics, and fast containment.

The result is a full-stack defense that turns invisible action-layer risk into manageable, auditable posture.

This webinar covers how to:
– Understand the Agentic Security Graph: LLM (brain), MCP servers (hands), APIs (action layer).
– Recognize why MCP servers and API activity are the highest-risk, least-monitored surfaces.
– Learn a three-step operational approach: Discover, Govern (AG-SPM), Detect u0026 Respond (AG-DR).
– Identify practical controls, telemetry sources, and workflows to reduce agentic risk and meet compliance.

Secure the AI action layer before it becomes the breach your organization is reacting to.