Protecting sensitive data in AI apps

Опубликовано 21 ноября 2024, 14:00

Discover essential strategies for safeguarding sensitive data in AI applications on this episode of Serverless Expeditions. Join Martin Omander and Aron Eidelman as they explore key concepts, best practices, and tools for protecting data throughout the AI lifecycle.

Chapters:
0:00 - Intro
0:47 - Does Google use my data?
2:06 - Three dataflows to protect
2:33 - Data Loss Prevention API
3:16 - Data going to your AI model
4:35 - Logging done by the application
5:49 - Responses to the user
6:41 - Q&A for Data Loss Prevention API

Resources:
AI/ML Privacy Commitment → goo.gle/4eGupwu
Google Cloud Terms → goo.gle/3CNs8lS
Cloud Data Processing Addendum → goo.gle/3AN2RI8
Generative AI, Privacy, and Google Cloud Whitepaper → goo.gle/490mlFL
Github Repo → goo.gle/4eBQxZ1
Sensitive Data Protection pricing → goo.gle/48UHbqd
Keeping costs under control → goo.gle/4fVeLyi

Watch more Serverless Expeditions → goo.gle/ServerlessExpeditions
Subscribe to Google Cloud Tech → goo.gle/GoogleCloudTech

#ServerlessExpeditions #GoogleCloud

Speakers: Martin Omander, Aron Eidelman
Products Mentioned: Google Cloud, Data Loss Prevention API