Large language models (LLMs) introduce a new category of security risks that traditional software defenses were not designed to handle. Unlike conventional applications, where vulnerabilities typically arise from coding defects that can be patched, LLM-powered applications also expose attack surfaces tied to the behavior of the model itself. Because LLMs are probabilistic systems rather than deterministic, they can be socially engineered through carefully crafted inputs. As a result, organizations deploying LLM applications cannot rely solely on traditional application security controls or built-in model safety features. Instead, a new category of defenses, often referred to as LLM firewalls, is emerging to act as an enforcement layer around models and LLM applications, inspecting prompts, responses, retrieval flows, and tool interactions to enforce security policies and reduce the risk of data leakage or adversarial manipulation in production environments. CIOs, CISOs, and CTOs should understand where …