Introduction to Security in the World of AI

As artificial intelligence transforms how organizations operate, it also introduces unprecedented security risks and data protection challenges. Understanding how to secure AI deployments is no longer optional—it is a critical requirement for modern organizations. This course equips you with the foundational knowledge needed to proactively identify, assess, and mitigate vulnerabilities unique to AI systems. You will explore modern security frameworks, threat modeling concepts, and governance strategies to ensure safe and compliant AI adoption. What you'll learn: - Understand the fundamental security challenges and vulnerabilities unique to machine learning and generative AI systems. - Identify common AI-specific threats, including prompt injection, data poisoning, and model inversion. - Apply modern security frameworks and risk management strategies to safeguard sensitive organizational data. - Establish robust AI governance policies that align with current compliance and data protection standards. - Formulate a proactive response plan to detect and mitigate potential AI-related security breaches. The course starts with essential terminology and the foundational concepts of AI security before guiding you through threat modeling and practical risk-mitigation strategies. Through written explanations and conceptual exercises, you will develop a structured approach to managing AI safety. This course is designed for IT professionals, security leaders, and managers seeking a beginner-friendly introduction to AI security, with no prior technical background in machine learning required. Prepare your organization for the future of technology by building a strong foundation in AI security today.