By Louis Columbus
The onslaught of endpoint attacks delivers more and more data — data that DevOps teams need to fine-tune existing products and invent new ones. Mining attack data to identify new threat patterns and correlations, then fine-tuning machine learning (ML) models and new products, is the goal. The more complex and numerous the attempts at




