Case Study: HUMAN Security achieves faster ML training and time to market with Amazon Web Services

HUMAN Security Accelerates ML Training and Time to Market Using Amazon SageMaker

HUMAN Security worked with Amazon Web Services to improve the economics of cybercrime detection and speed up its machine learning lifecycle. Using Amazon SageMaker and other AWS services, the company faced a challenge in training and deploying ML models quickly while maintaining traceability and scalability across massive datasets.

Amazon Web Services helped HUMAN Security automate ML training and deployment with SageMaker, AWS Glue, Amazon EC2 M5 Instances, and Step Functions. The results were significant: model training time dropped from several weeks to hours, deployments tripled, and cost savings increased by 15 percent, while the company scaled data processing by five times and supported 15 trillion online interactions each week.

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Austin Leirvik

Staff Data Scientist