Threat Model: Identifying Cybersecurity Anomalies in Amazon Security Lake Data using Amazon SageMaker

Solution Overview: Amazon Web Services (AWS) offers a powerful solution by combining Amazon Security Lake, a service that centralizes and standardizes security data, and Amazon SageMaker, a fully managed machine learning (ML) platform.

By leveraging Amazon Security Lake to ingest and store security data and Amazon SageMaker to train and deploy anomaly detection models, organizations can automate the analysis of threat findings, scale their security analytics, and evolve to meet the changing landscape of threat actors and security vectors.

While this solution offers significant benefits, it is crucial to understand the potential threats associated with the architecture. In this article, we present a threat model for the Amazon Security Lake and Amazon SageMaker solution, highlighting the key components and their associated risks.