OWASP Top 10 for LLMs
Explore the unique security challenges of Large Language Models. This course will teach you how to identify, mitigate, and prevent critical LLM threats to protect your AI driven applications.
What you'll learn
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.
Table of contents
About the author
Mike is an information security manager who has worked in the IT and Information Security fields for 22+ years. A broad background from helpdesk to sysadmin, system engineer, networking, DB and development work. Most of Mike's work now centers around pentests and risk assessments, but an integral part will always be awareness training. An active member in various local security groups, Mike volunteers, speaks, or attends various information security cons.