The deployment of autonomous AI agents in production environments represents a paradigm shift from stateless language models to persistent, goal-directed systems with access to external tools, persistent memory, and real-world effectors. These agentic systems execute multi-step plans, maintain state across extended interactions, spawn subagents for specialized tasks, and interact with external APIs and databases. While this evolution enables unprecedented capabilities in domains such as software development, financial analysis, customer service, and infrastructure management, it simultaneously introduces attack surfaces and vulnerability classes that differ fundamentally from those encountered in traditional language model deployments.