Security Best Practices in Google Cloud: Models

Secure the Models Behind Your AI

As organizations put AI models into production, those models become valuable assets and new targets for attack. This intermediate course, part of the Security Best Practices in Google Cloud series, focuses on protecting AI models and the systems around them.

Apply Google’s Secure AI Framework

You’ll learn how Google’s Secure AI Framework (SAIF) applies to models running on Google Cloud, and explore the main risks to AI models, including tampering, data poisoning, and misuse. You’ll see how to control who can access, deploy, and call your models, and how to protect the integrity of models and the data used to train them.

Defend Models in Production

The course then covers how to monitor and defend models once they’re serving real users, including guarding against harmful inputs and outputs. By the end, you’ll be able to apply security best practices across the AI model lifecycle on Google Cloud and fit model security into your wider cloud security strategy.