Introduction to Security in the World of AI

Overview

Artificial Intelligence (AI) offers transformative possibilities, but it also introduces new security challenges. This course equips security and data protection leaders with strategies to securely manage AI within their organizations.

Learn a framework for proactively identifying and mitigating AI-specific risks, protecting sensitive data, ensuring compliance, and building a resilient AI infrastructure. Pick use cases from four different industries to explore how these strategies apply in real-world scenarios.

Syllabus

• The What and Why of AI Security
This module introduces you to the core concepts of AI security. You'll explore the reasons why securing AI systems is crucial in today's world, gain a basic understanding of how AI works, and learn about the various ways we interact with AI and how that impacts security.
• Creating a Secure AI Framework
This module guides you through the creation of a robust framework to protect your AI initiatives. You'll explore how AI is transforming the security landscape, the key components of a strong security foundation, and the SAIF framework—a strategic approach to maintaining AI security. You'll learn the six core elements of SAIF and their real-world application through use cases across four different industries.
• Conclusion
This concluding module reviews key concepts from the course, and provides additional resources to guide you on your continued AI security journey.

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Taught by

Google Cloud Training

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Subjects

Information Security (InfoSec)