Introduction to Security in the World of AI

Instructor: Google Cloud Training

What you'll learn

  •   Understand the key concepts of AI, machine learning, and generative AI, and how models are built into APIs and applications.
  •   Understand the current landscape of potential threats both due to AI and when using AI.
  •   Understand at a high level how to organize an ecosystem for preventing these threat attacks.
  •   Develop and implement a comprehensive AI security strategy based on Google's Secure AI Framework (SAIF).
  • Skills you'll gain

  •   Cyber Risk
  •   Artificial Intelligence
  •   Security Strategy
  •   Enterprise Security
  •   Security Management
  •   Information Assurance
  •   Data Security
  •   Personally Identifiable Information
  •   Infrastructure Security
  •   Threat Modeling
  •   Cybersecurity
  • There are 3 modules in this course

    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.

    Creating a Secure AI Framework

    Conclusion

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