Amazon Web Services

This video from AWS re:Invent 2023 explores how security teams can leverage generative AI to strengthen security outcomes. The speakers demonstrate a virtual security assistant built using Amazon Bedrock, Kendra, and Security Lake that can provide contextual security guidance. They walk through the architecture, implementation, and key considerations for using generative AI safely and effectively for security use cases. The demo shows how the assistant can answer questions about IAM best practices and identify specific security findings in an environment. The speakers emphasize that while AI won't replace security experts, teams that effectively utilize it will outperform others. They encourage experimentation with these technologies to improve security operations and provide better guidance to builders.

product-information
skills-and-how-to
generative-ai
security-marketing-priority
ai-ml
Show 4 more

Up Next

VideoThumbnail
15:58

Revolutionizing Business Intelligence: Generative AI Features in Amazon QuickSight

Nov 22, 2024
VideoThumbnail
2:53:33

Streamlining Patch Management: AWS Systems Manager's Comprehensive Solution for Multi-Account and Multi-Region Patching Operations

Nov 22, 2024
VideoThumbnail
1:01:07

Accelerate ML Model Delivery: Implementing End-to-End MLOps Solutions with Amazon SageMaker

Nov 22, 2024
VideoThumbnail
47:39

Simplifying Application Authorization: Amazon Verified Permissions at AWS re:Invent 2023

Nov 22, 2024
VideoThumbnail
9:30

Deploying ASP.NET Core 6 Applications on AWS Elastic Beanstalk Linux: A Step-by-Step Guide for .NET Developers

Nov 22, 2024