How can an organization use Splunk for log management and the ability to store real-time data as events and avoid the prohibitive cost? Then, how can security teams apply risk-based analytics functionality to the data that combines anomaly detection with data sensitivity context that looks for – and finds – threats that anomaly-based analytics alone do not detect? In this post, we'll explain how Splunk integrates seamlessly with the (DSF) to reduce ingestion costs and accelerate security incident reporting, response, and forensics.