Security controls for generative AI use cases
summary
Scoping matrix divides generative AI into five levels and most customers land in Scope 3 or Scope 4; controls scale from normal RBAC, CASB and WAF at Scopes 1–2 to RAG patterns, vector DBs and careful retrieval filtering at Scope 3. Use Amazon Bedrock guardrails to block toxicity and prompt injection, and protect fine‑tuned models by restricting model IDs and encrypting artifacts with IAM + KMS so only authorized identities can call specific inference endpoints; removing a single training record requires retraining.
AI-written summary · about
chapters (7)
- 0:00Introduction to AI security controls
- 1:03Threat modeling fundamentals
- 2:27Scope one and two controls
- 6:04Scope three RAG applications
- 11:22Scope four fine-tuning models
- 14:53Scope five custom model training
- 17:18Governance and non-technical controls
related talks
27mHarnessing Generative AI: Security strategies for next-gen applications
44mGenerative AI Security — A Practical Guide to Securing Your AI Application
09mSecuring Generative AI Workloads
45mSecuring and Governing Generative AI: Learnings from Microsoft
40mSecuring Generative AI: Is it all an Illusion?
29mArchitect AI success in a regulated world
40mSecure Your GenAI Applications
14mBuilding Transparent and Ethical Generative AI Models in High-Stakes Industries
