White Papers
AI Agent Security: Architecture, Attack Surface, and Defense
A Practical 90-Day Roadmap for Securing Agentic AI
AI agents introduce new exposure through reasoning, MCP servers, tool metadata, and memory, areas that traditional AppSec can’t see or control.
This guide explains where these risks originate and gives security teams a practical checklist to contain them.
What you’ll learn:
- How MCP shifts trust boundaries and how attackers influence planning and tool selection
- How to lock down agent behavior before it reaches production
- Where AI agents create real exposure across reasoning, tools, and MCP
- How attackers use tool metadata, shadow tools, and drift to influence behavior
- The five-layer MCP hardening framework to anchor trust and prevent compromise
Download now to unlock the 90-day roadmap to secure the AI agent attack surface.
Additional Resources
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Modernize Legacy OT with Security
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The Frontier AI Adversary:
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How Frontier AI Is Changing the Nature of Cyberattacks -
AI Detection and Response: A Runtime Security Architecture for AI Systems
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