Learn to build comprehensive security frameworks for AI implementations through hands-on coding in this AWS re:Invent conference talk. Implement data protection patterns, secure prompt handling, and PII detection while coding along to create privacy-preserving pipelines in SageMaker. Configure IAM policies for model access control and automate compliance checks with AWS Config. Develop defenses against prompt injection attacks, implement differential privacy techniques, and build CloudTrail audit trails for comprehensive monitoring. Gain production-ready code templates for governance guardrails and technical safeguards that protect sensitive data throughout the AI lifecycle while enabling innovation and maintaining trust in AI applications.