AI Agent Security eBook

eBook Detailed Description

The AI Agent Security eBook by CrowdStrike provides a focused, practical guide to understanding the emerging risks posed by autonomous AI agents, particularly in enterprise environments. A key concept explored is Model Context Protocol (MCP) drift, which refers to the gradual deviation of an AI agent’s behaviour from its intended parameters due to changes in data, prompts, integrations, or environmental context.

This drift introduces significant vulnerabilities, including:

• unintended decision-making
• data exposure risks
• compromised system integrity
• increased attack surface for adversaries

The eBook breaks down these risks in a structured, accessible way and presents a clear 90-day security roadmap designed for organisations adopting AI agents. This roadmap includes:

• Assessing current AI agent architecture
• identifying vulnerabilities and drift indicators
• implementing monitoring and governance controls
• establishing secure deployment and lifecycle management practices

In addition, the resource emphasises real-time threat detection, behavioural monitoring, and zero-trust security principles tailored specifically for AI-driven systems.

Overall, this eBook is valuable for developers, security teams, and decision-makers, offering both conceptual clarity and actionable strategies to ensure that AI agents remain secure, reliable, and aligned with organisational objectives.