Which AWS framework organizes generative AI usage patterns into tiers (scopes) based on how involved your organization is (from using off-the-shelf services to building your own model) and examines the security risks of each?
Choosing the AWS framework that organizes generative AI risks into scopes.
AWS CAF for AI
AWS CAF for AI is an adoption framework for advancing the organizational transformation of AI use.
Transformation across business, people, governance, and so on is its subject, not a framework that organizes usage patterns into tiers and examines security risks, so it is incorrect.
AWS Well-Architected Framework
Well-Architected is a set of design principles that reviews workloads in general against six pillars.
It is not a dedicated framework that organizes generative AI usage patterns into tiers by involvement, so it is incorrect.
Generative AI Security Scoping Matrix
Correct. The Generative AI Security Scoping Matrix is an AWS framework that classifies usage patterns into scopes by involvement and systematically examines the security risks and countermeasures for each scope.
NIST AI Risk Management Framework
NIST AI RMF is a general-purpose framework for managing AI risk, but it is not provided by AWS.
The AWS framework that organizes generative AI usage patterns into scopes is the Security Scoping Matrix, so it is incorrect.
Remember the correct answer, the 'Generative AI Security Scoping Matrix.'
・An AWS framework that classifies generative AI usage patterns into scopes by involvement (from using off-the-shelf services to building your own model).
・It lets you systematically examine the security risks and countermeasures for each scope.
Auto Scaling groups, load balancers, and CDNs are all infrastructure mechanisms, not frameworks that organize generative AI risks into scopes.