Create security observability using generative AI with Security Lake and Amazon Q in QuickSight

This article explains how to create security observability using generative AI with Amazon Security Lake and Amazon Q in QuickSight. It provides a solution to query data stored in Security Lake using natural language with Amazon Q, enabling visualizations and analysis of security data from sources like AWS Security Hub findings, AWS CloudTrail logs, and VPC Flow Logs.

Specifically, the article covers:

• Solution overview and architecture
• Prerequisites for implementing the solution
• Steps to provide cross-account query access to Security Lake data
• Creating Athena views for Security Hub findings, CloudTrail logs, and VPC Flow Logs
• Creating QuickSight datasets from the Athena views
• Creating Q topics and named entities in QuickSight
• Using natural language to create visualizations and dashboards in QuickSight
• Querying data using natural language prompts in QuickSight dashboards
• Conclusion and next steps