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Overview
Syllabus
00:00 - Why AI apps need a "bodyguard"
00:57 - What are the top AI security risks? OWASP Top 10
01:46 - [Demo] Trying to jailbreak our AI app
02:25 - [Demo] Stopping sensitive data SSN leaks
03:23 - [Demo] Redacting data instead of blocking DLP
04:06 - [Demo] Blocking malicious URLs
04:50 - How it works: A simple API call
05:11 - Code: Sanitizing user prompts Input check
05:21 - Code: Sanitizing model responses Output check
06:19 - Code: Redact sensitive data
08:11 - Q&A: Don't models already have guardrails?
07:23 - Q&A: Why not use another LLM to protect my LLM?
07:58 - Q&A: Configuring policies for different apps
08:50 - Q&A: How much does Model Armor cost?
09:10 - Final thoughts
Taught by
Google Cloud Tech