In this podcast episode, we delve into the crucial topic of security related to AI and Machine Learning, with a particular focus on Generative AI. As AI and ML technologies rapidly advance, it is imperative to implement a robust security strategy based on the principle of Defense in Depth. We'll explore the potential security and privacy risks associated with AI/ML systems, highlighting the importance of Responsible AI practices. Additionally, we'll discuss practical approaches to implementing security measures within specific AI/ML services, such as Amazon Bedrock, a secure and compliant foundation for building and deploying AI/ML applications on AWS. Join us as we navigate the intricate landscape of AI/ML security, equipping you with the knowledge and best practices to safeguard your AI/ML deployments and mitigate potential risks.

AWS re:Inforce 2024:

https://hub.reinforce.awsevents.com/attendee-portal/catalog/?filters=5B4D572F-79F0-EE11-81DE-9CF328ECC866&search=APS351

AWS Hosts: Nolan Chen & Malini Chatterjee

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