The AI Security Guide

AI systems are undergoing a structural shift. The first wave of enterprise adoption focused on relatively bounded use cases: assistants that answered questions, copilots that suggested code, and chatbots that sat on top of static data. The next wave is agentic. Instead of merely predicting the next token, AI agents increasingly take actions: they call tools and APIs, orchestrate workflows, move money, change configurations, and trigger operations on behalf of humans and other systems.

This chapter gives you a clear, practical picture of what AI agents are, how they actually operate inside the modern enterprise, and why they rely on Non-Human Identities (NHIs) and protocols like MCP for every action they take. You’ll learn why early agent adoption often leads to shadow deployments, unmanaged access, and inconsistent ownership—and how understanding the AI Agent Adoption Blueprint provides a foundation for safe, scalable enterprise use of agentic workflows.