Amazon GuardDuty is an intelligent threat detection service that provides you with an accurate way to consistently monitor and protect your AWS accounts and workloads for suspicious activity. We're talking about intelligent threat identification for your accounts, data, and workflows. It uses trained machine learning models to identify suspicious user and resource behaviors. It also learns from your environment to eliminate false positive identifications.

Amazon GuardDuty is able to analyze CloudTrail logs, VPC flow logs, and DNS query logs to identify issues worth looking into. An interesting item about GuardDuty is that sample findings help you analyze the type of results that GuardDuty delivers. When you generate sample findings, GuardDuty populates your current findings list with one sample finding of each type.

Don't forget, GuardDuty is able to display its results to AWS Security Hub. Generating sample findings will allow you to verify AWS Security Hub's functionality sooner more than later. Let's take a look at some sample results from the GuardDuty screens. As a result, Amazon GuardDuty gives you a listing of findings classified under three categories, low, medium, and high severity.

In this screen of the AWS console, low severity findings are marked in blue with a small circle next to the finding. Medium severity findings are marked by GuardDuty in orange with a small square next to the finding. High severity findings are marked by GuardDuty in red with a small triangle next to the finding. Also notice how, on the top right, you have a findings summary showing the total for each of the severity categories.