Securing Generative AI: What Matters Now

Security is a weak point in 76% of generative AI initiatives. New research from AWS and IBM explores what it takes to implement generative AI securely.

Generative AI initiatives and enablement

IBM recently partnered with Oxford Economics to survey 200 executives regarding their generative AI initiatives and enablement. The study revealed a concerning trend of executives prioritizing innovation over security (70%), despite also stating that secure and trustworthy AI is essential to business success (82%).

In this research report, Clarke Rodgers, Director of AWS Enterprise Strategy and Dimple Ahluwalia, VP and Global Managing Partner of IBM Cybersecurity Services examine the survey data to unveil the reason for this trend and shed light on the emerging threat and defense landscape surrounding generative AI. Read the report to learn what it takes to implement generative AI data security.

Topics we’ll cover:

  • Understanding generative AI security risks and the emerging threat landscape
  • Evaluating your generative AI risk tolerance and security needs
  • Exploring emerging generative AI regulations around the world
  • Buying vs. building generative AI privacy and security solutions
  • Leveraging the advantages of AI in security

Learn more

 

Understanding generative AI security risks and the emerging threat landscape

AI is essential for business success

Only 24% of current generative AI projects are being secured, despite the fact that 82% of respondents say secure and trustworthy AI is essential for business success. Alarmingly, nearly 70% say innovation takes precedence over security.Read more

Understanding the generative AI threat landscape

"Generative AI introduces new potential threat vectors and new ways to mitigate them. While the technology lowers the bar even further for low-skill threat actors, helping them develop more sophisticated exploits, it also enhances defenders’ capacity to move faster with greater efficiency and confidence."

Why is data security essential for generative AI innovation?

Learn more about the relationship between data security and AI innovation in this special episode of the Conversations with Leaders podcast, featuring Chris McCurdy and Dimple Ahluwalia of IBM Security. Join our guests along with host Clarke Rodgers for a discussion about how data strategy is driving competitive advantage for companies today as the key ingredient to AI innovation.

Listen to the podcast: Data Trust: The Most Essential Ingredient for AI Innovation

Why is data security essential for generative AI innovation