Cortex AES: MCP Prompt Injection Kill Chain - Self-Provisioning Lab for Agentic AI Attack Demonstration

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Self-provisioning demonstration lab that walks partners through an end-to-end agentic AI attack scenario and shows how #CortexAES catches the threat across the four-layer detection model.

The scenario

Tool description mismatch in a Model Context Protocol (MCP) integration leads to credential exfiltration. The lab demonstrates the full kill chain - from initial prompt injection through tool invocation to credential extraction - and captures how AES detection surfaces trigger at each stage.

Detection layers demonstrated

• Discovery - AI application and model inventory
• Preventive policies - tool description validation and access boundaries
• Runtime guardrails - prompt injection detection, tool invocation monitoring
• XSIAM correlation - cross-signal correlation into a single case

Includes Tool Poisoning and Tool Shadowing detections that traditional endpoint security cannot see.
Cortex AES: MCP Prompt Injection Kill Chain - Self-Provisioning Lab for Agentic AI Attack Demonstration

How partners use it

Deploy the lab in your own environment for internal team training or customer-facing demonstrations. Used in MSSP partner workshops. Developed with input from the Cortex AES product engineering team.

Prerequisites

Own environment with capability to run MCP-integrated agentic workflows. Intermediate skill level. Setup guide included in the package.

Access

#links Provided as attachment

InfoSec cleared for partner distribution.

Feedback

Comments and feedback welcome below.
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#Cortex AES #Agentic AI #MCP Prompt Injection Lab #Partner Enablement #Koi