08
Model Armor: Securing AI Deployments
08
Model Armor: Securing AI Deployments
This course reviews the essential security features of Model Armor and equips you to work with the service. You’ll learn about the security risks associated with LLMs and how Model Armor protects your AI applications.
Course Info
Objectives
- Explain the purpose of Model Armor in a company’s security portfolio.
- Define the protections that Model Armor applies to all interactions with the LLM.
- Set up the Model Armor API and find flagged violations
- Identify how MA manages prompts and responses.
Prerequisites
- Working knowledge of APIs
- Working knowledge of Google Cloud CLI
- Working knowledge of cloud security foundational principles
- Familiarity with the Google Cloud console
Audience
Security Engineers, AI/ML Developers, Cloud Architects
Available languages
English