Agentic AI Security: Risks, Guardrails, and What Most Teams Get Wrong

The article distinguishes agentic AI systems, where language models interpret goals, select tools, and execute actions, from traditional chatbots, arguing that teams often apply inadequate security controls designed for text generation rather than autonomous workflow operation. Key security priorities include implementing least privilege access, designing human-in-the-loop checkpoints before deployment, and constraining agent decision scope through workflow policies rather than relying solely on output filtering or system prompts.