Secure AI by Design for GenAI Systems and Agentic Systems

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This course features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. Dive deep into the security frameworks necessary for GenAI and agentic systems. This course covers the critical aspects of securing AI systems from development to deployment, using industry-standard frameworks such as OWASP LLMSecOps, NIST, and MITRE ATLAS. Learn how to establish security governance, manage risks, and integrate regulatory compliance into your AI systems. The course begins by introducing foundational concepts, the AI risk landscape, and key guidelines from industry leaders. You will then explore the core frameworks used for managing and securing AI systems, followed by practical governance strategies, including inventory management, documentation, and transparency. The course also emphasizes securing AI development and operations, including threat intelligence, red teaming, and AI vulnerability scoring. This course is ideal for professionals seeking to strengthen their understanding of AI security. It provides the tools to safeguard Generative AI and agentic systems from emerging risks while ensuring compliance with global regulations. By the end of the course, you will be able to design secure AI systems, implement risk management practices, and apply best security practices to GenAI and agentic systems.

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