Securing generative AI applications using AWS services involves implementing robust strategies to protect data, models, and infrastructure. This presentation explores how AWS tools like Identity and Access Management (IAM), AWS Key Management Service (KMS), and Amazon SageMaker enable secure model development, training, and deployment. Topics include safeguarding sensitive data with encryption, ensuring network security through Virtual Private Clouds (VPCs), and mitigating threats using services like AWS Shield and AWS WAF. Best practices for monitoring AI workloads with Amazon CloudWatch and addressing compliance requirements through AWS Audit Manager will also be discussed. Attendees will gain actionable insights to build and maintain secure, scalable, and resilient generative AI applications on AWS. Slides: https://docs.google.com/presentation/d/1cBQ6Nr2j4puMvLw_3zvAh3I2rvSjjIYT/edit?usp=share_link&ouid=101540727223348180704&rtpof=true&sd=true