AWS › AWS Security Hub & GuardDuty

How can Security Hub's custom insights and automated response actions help security teams prioritize and manage findings more effectively at scale?

Intermediate

Answer

Security Hub custom insights let you define saved, grouped views of findings based on specific criteria relevant to your organization, such as all critical severity findings related to a particular compliance requirement, and combined with custom automation rules, you can automatically update finding statuses, suppress known false positives, or trigger notifications for specific categories of findings, helping security teams focus their limited time on the findings that matter most rather than manually sorting through a large volume of raw security data every day.
aws securityhub create-insight --name 'Critical Production Findings' --filters '{"SeverityLabel":[{"Value":"CRITICAL","Comparison":"EQUALS"}]}' --group-by-attribute 'ResourceType'
Real-world example A security team creates a custom Security Hub insight that groups all critical severity findings specifically affecting their production account, allowing them to quickly focus their daily review on the most urgent issues rather than scrolling through findings from every environment.

Common follow-ups: How do automation rules differ from custom insights in terms of what they actually do?;What is a reasonable process for identifying and suppressing known false positive findings?