Google’s Connie Fan and Deloitte’s Dr. Abdul Rahman on Generative AI and cybersecurity has been saved
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Google’s Connie Fan and Deloitte’s Dr. Abdul Rahman on Generative AI and cybersecurity
Part of the On Cloud Podcast series
Generative AI and cybersecurity are becoming almost inextricably linked. Generative AI can boost security, but its LLMs also need to be secured. It's a critical race against time and bad actors.
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Google’s Connie Fan and Deloitte’s Dr. Abdul Rahman on Generative AI and cybersecurity
In this episode, Connie Fan, product strategy and analytics lead at Google, and Deloitte’s Dr. Abdul Rahman examine the growing relationship between Generative AI and cybersecurity. They explain how Generative AI can boost cybersecurity through predictive modeling, and they discuss the need for enhanced security when training AI models—especially the LLMs used in Generative AI. Finally, they forecast the future of AI and cyber and discuss the importance of assessing AI and cyber risk.
The way that we like to think of AI, in the case of cyber is, we’re performing correlation, we’re performing forecasting, we’re doing some degree of prediction, for very specific use cases.
Dr. Abdul Rahman is an associate vice president with Deloitte & Touche LLP in the Artificial Intelligence Center of Excellence and is a subject matter specialist in the design and implementation of cloud analytics and architectures.
Connie Fan is a product manager for Google Cloud Security's AI/ML initiatives, currently focusing on Gen AI use cases for the cybersecurity domain. Prior to joining Google, she was a data scientist at BCG, where she co-created AI solutions with clients to realize value from the technology.
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