Off-the-shelf Large Language Models (LLMs) like GPT-4, Claude, or Llama 3 are trained on vast amounts of general internet data. While they “know about” cybersecurity, they do not know your enterprise’s specific network topology, your proprietary SIEM query syntax, your internal Standard Operating Procedures (SOPs), or the custom AutoIT scripts used in your CyberArk PSM

To understand AI agents, one must first accept a fundamental limitation of the underlying Large Language Model (LLM): LLMs are inherently stateless amnesiacs. Every time you call an LLM API, it starts with a blank slate. It has no inherent concept of past conversations, previous incidents, or organizational history. Memory is the architectural layer that

As cybersecurity environments grow in scale and complexity, a single, monolithic AI agent—no matter how large its underlying LLM—becomes a bottleneck. It suffers from context window limits, skill dilution (being a “jack of all trades, master of none”), and a massive blast radius if it hallucinates. To achieve the higher levels of autonomy (Levels 3

Just as the automotive industry uses the SAE levels (0 to 5) to define the spectrum of self-driving cars, cybersecurity requires a similar maturity model for Agent Autonomy. Because the LLM “brain” is probabilistic and prone to hallucination, granting an AI agent the ability to act autonomously in an enterprise environment is not a binary

To understand the architecture of an AI agent, we must zoom in on its central component: the Large Language Model (LLM). If the tools and APIs are the “hands and feet” of the agent, the LLM is undeniably the “brain”—the cognitive engine responsible for perception, reasoning, and decision-making. However, from an Enterprise Architecture and cybersecurity

To understand AI agents from an Enterprise Architecture perspective, it is helpful to view them not merely as advanced software, but as autonomous digital workers. They bridge the gap between knowing what to do (Generative AI/LLMs) and actually doing it (APIs, scripts, and system integrations). Here is a comprehensive breakdown of the definition, characteristics, and