Generative AI Risks & Cybersecurity: LLM Security

The rapid integration of Large Language Models (LLMs) and generative artificial intelligence into modern software ecosystems has introduced an entirely new landscape of security challenges. Led by Dr. Amar Massoud, this comprehensive course on Generative AI Risks & Cybersecurity offers an in-depth exploration of the unique vulnerabilities that plague contemporary AI systems. Students will delve into critical threat vectors such as prompt injection, data poisoning, and model bias, gaining the practical knowledge needed to defend applications against sophisticated exploits. Beyond technical vulnerabilities, the curriculum addresses the pressing ethical considerations and regulatory governance frameworks necessary for secure AI deployment. Designed for cybersecurity professionals, software engineers, and IT risk managers, this course provides actionable strategies to establish robust security controls and safeguard sensitive data from model exploitation. By participating in this training, learners will acquire the skills to proactively audit AI systems, mitigate emerging threats, and design resilient, ethically aligned AI architectures that comply with modern security standards in an increasingly automated world.