- Course
LLM Jailbreaking Defense
Modern AI assistants create new security risks. This course will teach you how to defend LLM-based applications against prompt injection and jailbreak attacks using wrappers, guardrails, and platform-level controls.
- Course
LLM Jailbreaking Defense
Modern AI assistants create new security risks. This course will teach you how to defend LLM-based applications against prompt injection and jailbreak attacks using wrappers, guardrails, and platform-level controls.
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This course is included in the libraries shown below:
- Security
What you'll learn
LLM-powered applications introduce a new class of security risks, including prompt injection and jailbreak attacks that can bypass restrictions, expose sensitive information, and influence downstream actions. In this course, LLM Jailbreaking Defense, you'll learn to defend LLM-based applications with practical, layered security controls. First, you'll explore the risks of prompt injection and jailbreak attacks, including how they work, why they are effective, and how they map to established frameworks such as the OWASP LLM Top 10. Next, you'll discover how to harden AI assistants using defensive wrappers that validate input, constrain context, and monitor model output. Finally, you'll learn how to integrate system prompt defenses, deterministic policy checks, role-based controls, and platform-level guardrails from major providers to build a stronger overall security posture. When you're finished with this course, you'll have the skills and knowledge needed to assess, explain, and reduce jailbreak risk in LLM-based applications