Identify cybersecurity anomalies in your Amazon Security Lake data using Amazon SageMaker
CAT
1 min read
In this post, you learn how to prepare data sourced from Amazon Security Lake, and then train and deploy an ML model using an IP Insights algorithm in SageMaker. This model identifies anomalous network traffic or behavior which can then be composed as part of a larger end-to-end security solution.
Originally appeared here:
Identify cybersecurity anomalies in your Amazon Security Lake data using Amazon SageMaker
