Securing generative AI: Privacy and compliance considerations
summary
Five deployment Scope 1–5 scoping matrix levels guide choices: use SaaS (Code Whisperer) or Bedrock/SageMaker Jumpstart for pre‑trained and fine‑tuned models, or build a self‑trained LLM where data provenance, sanitization and repeatable testing become mandatory. Use Macie, S3 Find and Forget and opt‑out SCPs for Comprehend to limit training data exposure, and Step Functions for human‑in‑the‑loop checks. EU AI Act, ICO eight‑question checklist and the ISO 42001 audit framework (and Biden executive order on safety) drive disclosure, profiling limits and independent verification.
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chapters (9)
- 0:00Introduction and scope
- 0:28Generative AI scoping matrix
- 11:21Data privacy and transparency
- 13:22Automated decision-making
- 14:18Regulatory classification
- 15:55Compliance and risk assessment
- 16:39Data profiling risks
- 18:01Conclusion
- 19:25Closing remarks
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