Most teams govern AI workloads at the application layer. They configure guardrails for their Bedrock agents, scope IAM roles per workload, and build policies around approved models. That discipline matters, but it breaks down the moment a developer spins up a new account or invokes a model directly without touching the application stack. Org-level enforcement…
First seen on securityboulevard.com
Jump to article: securityboulevard.com/2026/04/5-aws-ai-controls-every-security-team-should-have/
