Securing your AI inference pipeline

Описание: Check out part 1 of this video → https://goo.gle/4gpPXzc
Google SAIF → https://goo.gle/3Dbfg9s
Google AI Supply Chain Security Whitepaper → https://goo.gle/3ZRZf15

Are you leaving the door open for attackers to manipulate your AI model and steal sensitive data? Join Googler Sita in this video as she demonstrates how to proactively secure your AI inference pipeline using Google Cloud, walking you through solutions like Model Signature verification and Model Armor integration.

Chapters:
0:00 - Intro
1:00 - Security concerns with AI inference pipelines
3:20 - Trustworthy model sources
4:10 - Model signatures & verification
5:22 - Locking down model access
7:09 - Mitigate direct app threats
8:20 - Continuous monitoring
9:53 - Summary

More resources:
Model Garden → https://goo.gle/4fsVUKk
Vertex AI → https://goo.gle/3P9PftO
Sigstore Model Signing → https://goo.gle/4fgwU9m
Google Cloud IAM → https://goo.gle/3VJTwbq
Model Armor Preview allowlist → https://goo.gle/49A27Tu
SCC AI Security Posture → https://goo.gle/3VNeZQC

Watch more AI Guide for Cloud Developers → https://goo.gle/AtoZforAI
Subscribe to Google Cloud Tech → https://goo.gle/GoogleCloudTech

#GoogleCloud #AIforDevelopers

Speaker: Sita Lakshmi Sangameswaran
Products Mentioned: Vertex AI, AI Infrastructure, Identity and Access Management, Google Cloud Model Armor Security Command Center