How To Build Threat Detection Pipelines Using Datastreamer

Diagram illustrating Datastreamer’s threat detection pipeline. The diagram shows various data sources—including BYOD email, dark web forums, news sites, and social media—flowing into Datastreamer’s dynamic pipeline. The pipeline includes components for translation, named entity recognition (NER), location detection, violence classification, and custom functions. Processed data flows out to analytics tools, enabling threat monitoring, alerting, and downstream insights.

Learn how to build a proactive threat detection pipeline using Datastreamer. This guide shows how to ingest, normalize, and enrich data from sources like social media, news, and dark web forums. It also covers translation, entity recognition, sentiment analysis, and violence classification to help teams gain real-time threat intelligence and stay ahead of emerging risks.

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