Guest:

• Nelly Porter, Director of PM, Cloud Security at Google Cloud

Topics:

• Share your story and how you ended here doing confidential AI at Google?
• What problem does confidential compute + AI solve and for what clients?
• What are some specific real-world applications or use cases where you see the combination of AI and confidential computing making the most significant impact?
• What about AI in confidential vs AI on prem? Should those people just do on-prem AI instead?
• Which parts of the AI lifecycle need to be run in Confidential AI: Training? Data curation? Operational workloads?
• What are the performance (and thus cost) implications of running AI workloads in a confidential computing environment?
• Are there new risks that arise out of confidential AI?

Resources:

• Video
• EP48 Confidentially Speaking 2: Cloudful of Secrets
• EP1 Confidentially Speaking
• "To securely build AI on Google Cloud, follow these best practices" blog (paper)