# AI Agent Fundamentals and Trust Boundaries

> Master the architecture of autonomous AI agents, multi-agent systems, and the critical trust boundaries that separate helpful automation from catastrophic infrastructure compromise.

Canonical: https://codelivly.com/learning-paths/ai-agent-fundamentals-trust-boundaries
Last updated: 2026-10-13

| | |
|---|---|
| Level | Advanced |
| Category | Cybersecurity |
| Rooms | 4 |
| Lessons | 10 |
| Estimated time | 2 h |

This advanced learning path deconstructs the architecture of autonomous AI agents and multi-agent systems. You will explore the mechanics of tool use, memory management, and agentic planning. Crucially, you will learn how to map and secure the trust boundaries between the LLM, the orchestration layer, and external execution environments to prevent privilege escalation, data exfiltration, and unauthorized autonomous actions.

## Rooms in this path

1. [What is an AI Agent](https://codelivly.com/rooms/what-is-an-ai-agent) - Understand the core architecture of autonomous AI agents, including perception, planning, memory, and tool execution,…
2. [Agent Architecture](https://codelivly.com/rooms/agent-architecture) - Deconstruct the core components of AI agent architecture, including the LLM brain, memory systems, and tool…
3. [Trust Boundaries Between Agent, Tools and Environment](https://codelivly.com/rooms/trust-boundaries-between-agent-tools-and-environment) - Map and secure the critical trust boundaries between autonomous AI agents, their execution tools, and the underlying…
4. [Common Agent Framework Overview](https://codelivly.com/rooms/common-agent-framework-overview) - Explore the security architectures of popular AI agent frameworks like LangChain, AutoGen, and CrewAI, identifying…

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