基于OWASP Agentic Security Top 10，为AI架构师提供自主智能体高级防御指南，深度解析提示词注入、工具滥用等前沿攻击链路，指导落地运行安全沙箱与人类在环的纵深防御架构。
原始标题：Ai Agent Security: Owasp Top 10 For Agentic Ai Systems
本课程基于 OWASP Agentic Security Top 10，为全栈安全与 AI 架构师提供自主智能体（Agentic AI）高级防御指南，深度解析提示词注入、工具滥用等前沿攻击链路 。课程聚焦企业级真实场景，指导落地包含运行时校验、安全沙箱和人类在环（Human-in-the-Loop）在内的纵深防御架构，为生产环境打造可控的安全底座 。
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz
Language: English | Size: 1016.03 MB | Duration: 3h 25m
Master prompt injection, tool misuse, memory poisoning, guardrails, and secure design for autonomous AI agents.
What you’ll learn
Explain the OWASP Agentic Security Top 10 and how each risk appears in AI agents.
Map agent attacks across goal hijack, tools, identity, memory, supply chain, and multi-agent systems.
Evaluate real enterprise scenarios and identify the trust boundary that fails.
Design layered defenses and governance controls for safer agentic applications.
Requirements
Basic familiarity with AI agents, APIs, or application security is helpful, but no prior agentic security experience is required.
Description
“This course contains the use of artificial intelligence.”AI agent security is quickly becoming a core skill for engineers, architects, and security leaders building autonomous systems. This course teaches agentic AI security through the OWASP Top 10 for Agentic Applications, using real attack scenarios, technology maps, and practical defense patterns you can apply to AI agents in production.You will learn how prompt injection, goal hijack, tool misuse, identity and privilege abuse, supply chain compromise, memory poisoning, insecure inter-agent communication, cascading failures, human trust exploitation, and rogue agent behavior appear in real systems. We also cover guardrails, secure architecture, runtime validation, least privilege, memory controls, and governed autonomy for agentic AI systems.Each module connects theory to enterprise reality. You will walk through realistic attack chains in customer support, finance, DevOps, healthcare, retail, and multi-agent automation. Then you will break down the terminology, trust boundaries, control points, and design decisions that prevent the same failure in production.By the end of the course, you will be able to explain the OWASP agentic AI risk model, recognize how AI agent security issues show up in live workflows, and evaluate the guardrails needed to build safer autonomous applications.This course is designed for security engineers, AI engineers, architects, product leaders, and technical managers who want a practical framework for securing AI agents and agentic applications.
Security engineers, AI engineers, architects, technical product leaders, and managers building or reviewing agentic systems.
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