Generative AI Security: Risk Management for Modern Teams

Generative AI tools are transforming industries, but they also introduce complex new security risks. If you're wondering how to adopt these powerful technologies without exposing your organization to data leaks and other threats, this course provides a clear path forward. You will gain a foundational understanding of the AI threat landscape and learn a systematic approach to managing risks. By the end of the course, you'll be equipped to develop and implement security controls that allow your team to leverage AI safely and responsibly. What you'll learn: - Understand the new security threat landscape introduced by large language models and other generative tools. - Identify common vulnerabilities like prompt injection, data poisoning, and insecure outputs. - Learn best practices for securely integrating third-party AI APIs and services into your workflows. - Develop strategies for preventing sensitive corporate or customer data leakage through AI usage. - Evaluate the security posture of different AI solutions to make informed procurement decisions. - Practice drafting internal usage policies and guidelines for safe AI adoption across your organization. The course begins with fundamental concepts of AI security before progressing to practical techniques for threat analysis, risk mitigation, and policy development. You will learn to build a robust security framework from the ground up. This course is designed for IT professionals, security analysts, team leads, and business managers. No prior experience in artificial intelligence or cybersecurity is required to get started. Begin learning how to secure your organization in the new era of AI today.