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n the era of artificial intelligence, securing Generative AI (GenAI) systems has become a top priority for organizations worldwide. This course, Securing Generative AI Systems: Hands-On Cybersecurity Strategies and Tools, is designed to equip learners with the knowledge and skills needed to protect AI-driven environments from evolving threats. Whether you're a cybersecurity professional, AI engineer, or an IT enthusiast, this course provides practical insights into safeguarding GenAI models.

The course begins with an introduction to the unique security challenges posed by GenAI, such as data poisoning, prompt injection attacks, and model inversion. You'll learn how traditional security tools fall short and why AI-specific solutions like AI firewalls are essential. Through step-by-step guidance, you’ll explore how to deploy and configure AI firewalls to filter malicious inputs, monitor output anomalies, and ensure robust protection for AI systems.

Beyond the fundamentals, this course dives into advanced topics like integrating AI Security Posture Management (SPM) tools, adapting Zero Trust principles to GenAI, and leveraging AI-powered incident response techniques. Hands-on exercises and real-world case studies bring these concepts to life, allowing you to apply what you learn in practical scenarios.

By the end of the course, you’ll be prepared to identify and mitigate threats in GenAI environments, implement cutting-edge cybersecurity strategies, and stay ahead of emerging risks. Join us to gain a competitive edge in securing next-generation AI systems and enhance your professional expertise in the rapidly evolving field of AI security.