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=APS351AWS Hosts: Nolan Chen & Malini ChatterjeeEmail Your Feedback: [email protected]

Ask this episode

“What did the council decide on item 42?” — answered with the speaker and the moment.

Transcript

Related