Architect AI success in a regulated world
summary
Covers a three-step approach—regulatory alignment, security controls, and compliance monitoring—with concrete patterns: classify use cases from scope one to scope five using the generative AI security scoping matrix, apply defense‑in‑depth and the Well‑Architected Gen AI lens, and enforce data protection with Macie, Comprehend, KMS, PrivateLink and Clean Rooms. Demonstrates operational controls such as Bedrock guardrails, CloudTrail Lake for event aggregation, and AWS Audit Manager producing automated and manual evidence for audits.
AI-written summary · about
chapters (8)
- 0:00Introduction and welcome
- 1:03Speaker introductions
- 3:28Regulatory standards alignment
- 9:31Key AI compliance considerations
- 13:22Responsible AI principles
- 16:11Security controls implementation
- 22:52Compliance monitoring and governance
- 27:31Key takeaways and resources
related talks
08mshares insights on AI and regulatory compliance
20mSecuring generative AI: Privacy and compliance considerations
19mSecurity controls for generative AI use cases
38mAccelerate securely: The Generative AI Security Scoping Matrix
18mSecuring AI models and using AI to maintain compliance
08mArchitecting Transparent AI Systems for Cloud-Native Environments
38mBuilding AI responsibly with a GRC strategy
15mAI Security Simplified: Turning Complexity into Cohesion