GenAI Cybersecurity Solutions: OWASP Top 10 for LLM Apps (Udemy.com)

Are you a cybersecurity professional, AI enthusiast, or organization leader striving to protect AI-driven systems in an ever-evolving threat landscape? Do you want to learn how to safeguard Generative AI models from sophisticated attacks and vulnerabilities? This course is your ultimate guide to mastering the cybersecurity principles and practices needed to secure Generative AI applications.

This course takes you deep into the world of AI security, focusing on the threats, vulnerabilities, and countermeasures specific to Generative AI systems. Whether you are an IT security expert, AI practitioner, or a forward-thinking technology leader, this course provides you with the essential tools and knowledge to defend AI models and ensure data security.

This comprehensive journey begins with an introduction to generative AI and the importance of its security. It then delves into potential threats and manipulative uses, explores the inner workings of LLMs and AI models, and takes you through practical labs—including setting up lab access with Portswigger—to experience real-world demonstrations and remediation techniques.

Key Benefits for You:

Generative AI Fundamentals: Understand what generative AI is, including the roles of LLMs and AI models, and why securing these technologies is vital in today’s digital landscape.

Security Imperatives: Learn why protecting generative AI applications is crucial, with insights into potential threats and manipulative uses that could compromise system integrity.

Practical Lab Experience: Gain hands-on skills by setting up lab environments (including creating Portswigger accounts) and experiencing live demos of security vulnerabilities and countermeasures.

Prompt Injection Mitigation: Explore both direct and indirect prompt injection attacks, learn how to identify them, and discover effective strategies to stop malicious inputs.

Secure Output Handling:Understand how improper output handling can lead to vulnerabilities, and watch demonstrations on how to fix insecure output processing.

Supply Chain & DOS Defense: Examine supply chain vulnerabilities and model denial of service attacks, with real-world demos and actionable steps to secure your systems.

Data Integrity & Confidentiality: Dive into training data poisoning, sensitive information disclosure, and learn the countermeasures needed to protect your data and maintain system integrity.

Advanced AI Security: Tackle complex issues such as plugin security, excessive agency, overreliance, and model theft, and learn industry-recognized strategies to secure every aspect of your AI applications.

In this course, you will:

• Explore the foundational concepts of Generative AI and why securing it is essential.

• Identify key threats and vulnerabilities in Generative AI systems, including prompt injection, model theft, and training data poisoning.

• Learn about secure AI practices like output handling, plugin security, and mitigating excessive agency risks.

• Gain hands-on experience through real-world demos of security vulnerabilities and their countermeasures.

• Understand how to prevent sensitive information leaks and mitigate supply chain vulnerabilities.

• Build robust strategies to counter AI-specific attacks like model denial of service (DoS) and data poisoning.

Why learn about GenAI cybersecurity?

Generative AI is revolutionizing industries, but its rapid advancement introduces new and unique security challenges. From manipulation of outputs to unauthorized model access, the risks are significant. This course empowers you with the knowledge and practical techniques to address these challenges head-on. Whether you are responsible for securing data, protecting AI models, or mitigating cyber threats, this course offers actionable solutions to strengthen your AI defenses.

What makes this course unique?

This course combines cutting-edge insights, real-world security demonstrations, and best practices for securing Generative AI systems. Each lecture is designed for practical application, guiding you step-by-step through the complexities of AI cybersecurity. By the end, you will be equipped with the expertise to prevent attacks, mitigate risks, and protect sensitive information in AI environments.

This course provides a deep dive into the security risks and vulnerabilities associated with generative AI. By exploring real-world attack techniques and their corresponding countermeasures, you will be well-prepared to secure AI applications and build a cutting-edge career in cybersecurity.

Join me on this exciting journey into the world of GenAI cybersecurity solutions. Enroll now and become a leader in protecting AI technologies!