Course description

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.

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 you’ll learn

• Understand the key threats and vulnerabilities in Generative AI systems.
• Learn strategies to prevent and mitigate prompt injection and model theft attacks.
• Master techniques to secure AI models against denial of service and data poisoning.
• Gain hands-on experience with demos of security threats and countermeasures in AI.
• Protect sensitive data by learning secure output handling and plugin security best practices.
• Explore risk management strategies to address AI-specific supply chain vulnerabilities.

Who this course is for

• Cybersecurity professionals aiming to secure AI systems and mitigate AI-specific threats.
• AI practitioners and data scientists interested in understanding AI security frameworks.
• Tech enthusiasts eager to explore practical strategies for protecting Generative AI models.
• IT managers and business leaders responsible for safeguarding AI infrastructure and data.
• Students and beginners looking to gain foundational knowledge of AI security and risk management.

Join this course

This course was created by the MTF Institute of Management, Technology and Finance. This class has 447 students and 32 lectures almost 2 hours. You can access it on mobile, TV and get Certificate of completion for a lifetime.

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