The rapid adoption of Large Language Models introduces unique security challenges, including vulnerabilities that can expose sensitive data, disrupt operations, or compromise trust. In this course, OWASP Top 10 for LLMs, you’ll learn to identify, mitigate, and prevent these threats. First, you’ll explore the OWASP top 10 vulnerabilities for LLMs, gaining an understanding of the most critical risks in AI systems. Next, you’ll discover how to apply practical strategies to safeguard against common attacks, such as prompt injection, insecure output handling, and plugin vulnerabilities. Finally, you’ll learn how to implement proactive mitigation techniques to build secure, trustworthy, and resilient LLM applications. When you’re finished with this course, you’ll have the skills and knowledge of LLM security needed to protect your AI-driven systems against real-world threats.
Overview
The rapid adoption of Large Language Models introduces unique security challenges, including vulnerabilities that can expose sensitive data, disrupt operations, or compromise trust. In this course, OWASP Top 10 for LLMs, you’ll learn to identify, mitigate, and prevent these threats. First, you’ll explore the OWASP top 10 vulnerabilities for LLMs, gaining an understanding of the most critical risks in AI systems. Next, you’ll discover how to apply practical strategies to safeguard against common attacks, such as prompt injection, insecure output handling, and plugin vulnerabilities. Finally, you’ll learn how to implement proactive mitigation techniques to build secure, trustworthy, and resilient LLM applications. When you’re finished with this course, you’ll have the skills and knowledge of LLM security needed to protect your AI-driven systems against real-world threats.
Taught by
Mike Woolard
