What is the Secure AI Framework (SAIF) for?
Why A is the answer
Guiding security across AI systems and the ML lifecycle
SAIF is Google's framework for securing AI systems.
In detail
- SAIF guides security across AI systems and the ML lifecycle.
- It covers the ML lifecycle, not only production.
Use case
An illustrative scenario, not a real incident.
A security lead uses SAIF to review an AI project across data, model and application.
See it in different ways
mindmap
root((Trust))
Security
SAIF
Security Command Center
IAM
Privacy
Pseudonymization
Responsibility
Explainability
Human in the loopflowchart LR S0["Data"] --> S1["Training"] --> S2["Deployment"] --> S3["Monitoring"]
Key point: SAIF guides security for AI systems.
Why the other options are wrong
- B. Reducing token cost across the Gemini product family
- It is not about token cost.
- C. Training foundation models faster on custom TPUs
- It is not about training speed.
- D. Planning marketing campaigns for gen AI products
- It is not about marketing.

