What Are AI Agents? (And Why They Need Security)

AI agents use LLMs to take actions toward a goal autonomously. Learn what makes AI agents different from chatbots and why they require a new security model.

  • AI agents
  • AI security
  • agentic AI
AI agents are autonomous software systems that use large language models (LLMs) as their reasoning engine to take a sequence of actions toward a specific goal—without requiring step-by-step human instructions. Unlike traditional chatbots that only respond to text, AI agents can call external tools, search the web, read files, and interact with business systems to accomplish complex tasks.

The difference between chatbots and AI agents

The primary distinction between a standard chatbot (like a basic ChatGPT implementation) and an AI agent is agency.

  • Chatbots are reactive: they wait for a prompt, process it, and generate a text response.
  • AI agents are proactive: they receive a goal, plan the necessary steps, select the appropriate tools, execute actions, observe the results, and iterate until the goal is achieved.

How AI agents interact with your systems

To be effective, AI agents are typically given access to “tools.” These tools are APIs or functions that allow the agent to interact with the real world. For example, an agent might have access to:

  • Email APIs: to send and receive communications.
  • File Systems: to read documentation or write reports.
  • CRMs and Databases: to retrieve customer records or update order statuses.
  • Web Search: to gather real-time information.

Why AI agents require a new security model

The very thing that makes AI agents powerful—their ability to take actions autonomously—also makes them a significant security risk. Traditional security tools like firewalls and Data Loss Prevention (DLP) are designed to monitor human activity or static software processes. They are not built to inspect the reasoning loop of an AI system making hundreds of tool calls per minute.

Without a specialized security layer like Shield Control, an AI agent could be manipulated into exfiltrating sensitive data, executing unauthorized code, or making irreversible changes to production systems.


### What tools control what an AI agent can do? AI agents are governed by runtime security platforms and gateway layers. These tools intercept every tool call and action the agent attempts, validating them against corporate policy before they are allowed to execute.
### What is agentic AI? Agentic AI refers to AI systems designed with a high degree of autonomy and the ability to use tools to achieve goals. It is the evolution of AI from a "talking" technology to a "doing" technology.
### How do I secure AI agents in my company? Securing AI agents requires a multi-layered approach: identity-aware access, input sanitization to prevent prompt injection, runtime policy enforcement on tool calls, and comprehensive audit logging.

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