Skip to Content
View all events

Understanding Generative AI Security Risks

Published by O'Reilly Media, Inc.

Intermediate content levelIntermediate

Safeguard your systems and data

Course outcomes

  • Understand Generative AI security risks
  • Develop risk mitigation strategies
  • Analyze AI security best practices and compliance

This course will arm learners with a critical understanding of the security risks posed by generative AI. From data privacy concerns to the threat of malicious uses and system vulnerabilities, Dr. Rana will explore the complexities of safeguarding AI systems and the data they process. This course offers a blend of theoretical insights and practical strategies for risk mitigation, emphasizing secure data practices, AI model hardening, and compliance with regulatory standards. Moreover, this course aims to equip learners with the knowledge of what proactive security measures are required to ensure the responsible and secure use of generative AI across various industries.

What you’ll learn and how you can apply it

  • How to identify the unique security risks posed by generative AI technologies (privacy breaches, potential for misuse, and vulnerabilities)
  • How to implement security measures for generative AI systems (data encryption, secure model training practices, and deployment strategies).
  • How to navigate the complex regulatory landscape surrounding generative AI and understand compliance requirements and ethical considerations.

This live event is for you because...

  • You’re a technology or cybersecurity professional looking to deepen your understanding of AI security.
  • You work with policymakers and regulatory professionals interested in ethical and security implications of AI technologies.
  • You want to become more familiar with the field of AI and security.

Prerequisites

  • Basic knowledge of generative AI and risk management concepts

Recommended preparation:

Recommended follow-up:

Schedule

The time frames are only estimates and may vary according to how the class is progressing.

Module 1 Generative AI Security Risks (60 minutes)

  • Presentation: Introduction to Generative AI Security (15 minutes)
  • Presentation: Understanding the Security Risks (15 minutes)
  • Exercise: How would you assess the risk level of a use case? (15 minutes)
  • Q&A (5 minute)
  • Break (5 minutes)

Module 2 Generative AI Risk Mitigation (55 minutes)

  • Presentation: Mitigating Security Risks (15 minutes)
  • Discussion: What are the best ways to approach risk mitigation? (15 minutes)
  • Presentation: Compliance and Ethical Considerations (15 minutes)
  • Q&A (5 minute)

Your Instructor

  • Shaila Rana

    Dr. Shaila Rana is a professor of cybersecurity and the founder of CyberSecure, a cybersecurity awareness training and consulting firm. Dr. Rana serves as a cofounder of the ACT Research Institute, which is an AI, cybersecurity, and technology think tank and the Chair of IEEE SA working group focused on Zero Trust Cybersecurity for Health Technology.

Skills covered

  • Generative AI
  • AI Security