GenAI Cybersecurity Solutions (2025)
Published 2/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 837.88 MB | Duration: 1h 57m
Published 2/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 837.88 MB | Duration: 1h 57m
Secure Generative AI Solutions: Cybersecurity Frameworks, Threat Mitigation & Risk Management for AI Protection
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.
Requirements
No prior experience required—just an interest in Generative AI and cybersecurity.
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 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 is a comprehensive resource for anyone serious about securing AI systems. It features engaging content, expert insights, and hands-on labs.Join me on this exciting journey into the world of GenAI cybersecurity solutions. Enroll now and become a leader in protecting AI technologies!
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.