Sentinel Analytics Dashboard

DataCorp was processing security event logs from enterprise customers using a decade-old SIEM platform that generated thousands of false positive alerts per day. Analysts spent 80% of their time triaging noise rather than investigating real threats. The legacy system could not ingest data faster than T+15 minutes.

We replaced the batch ingestion pipeline with a streaming architecture on Apache Flink that processed events in under two seconds. A TensorFlow anomaly detection model, trained on 18 months of labeled incident data, scored every event in real time and clustered related signals into unified threat cases. The React dashboard presented analysts with a prioritized investigation queue ranked by model confidence.

False positive rate dropped from 94% to under 3%. Analysts now resolve high-confidence threats in an average of 11 minutes, down from 3.5 hours. The platform ingests 50 million events per day at sustained throughput with sub-two-second latency and has been adopted by 12 enterprise customers since launch.