Securing Generative AI LLM Data, Applications, Workloads, Models
AWS’ top priority is the security and confidentiality of your workloads. AWS Artificial Intelligence (AI) infrastructure and services have security and privacy features built-in to give you control over your data. You can rest assured that your data is being handled securely across the AI lifecycle including for data preparation, training, and inferencing.
These three important use cases will be covered during this informative session:
-Security of Gen AI: Protecting customer data and AI models on AWS tools like Bedrock, Sagemaker and other similar Gen AI tools.
-Security from Gen AI threats: Addressing risks such as training data, posioning and prompt injection, with a focus on OWASP top 10 for LLM applications
-Strengthening Security with Gen AI: Leveraging Gen AI to enhance security practices and accelerate development process.
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