Google Cloud Tech: Protecting sensitive data in AI apps

Author: Google Cloud Tech - Bewertung: 5x - Views:86

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 → https://goo.gle/4eGupwu

Google Cloud Terms → https://goo.gle/3CNs8lS

Cloud Data Processing Addendum → https://goo.gle/3AN2RI8

Generative AI, Privacy, and Google Cloud Whitepaper → https://goo.gle/490mlFL

Github Repo → https://goo.gle/4eBQxZ1

Sensitive Data Protection pricing → https://goo.gle/48UHbqd

Keeping costs under control → https://goo.gle/4fVeLyi



Watch more Serverless Expeditions → https://goo.gle/ServerlessExpeditions

Subscribe to Google Cloud Tech → https://goo.gle/GoogleCloudTech



#ServerlessExpeditions #GoogleCloud



Speakers: Martin Omander, Aron Eidelman

Products Mentioned: Google Cloud, Data Loss Prevention API