DataSense® Security Data Pipeline Workflow
Data Collection & Ingestion
DataSense enables organisations to manage the full flow of security telemetry — from ingestion to sanitisation and delivery — with precision and control.
This workflow illustrates how DataSense is used in real-world environments:
- Logs and telemetry are collected from supported systems and services via Syslog, API, or file-based input
Data Processing & Enrichment
Advanced data processing pipeline that normalises, filters, enriches, and transforms security telemetry data while maintaining forensic integrity.
- Filtering rules using predicates or regex allow teams to reduce noise and focus on high-value data
- Threat enrichment highlights suspicious indicators such as known malicious IPs, domains, or file hashes in real time
- Field redaction and removal help protect sensitive data and reduce downstream ingestion or licencing costs
Export & Monitoring
Flexible export capabilities with pluggable modules that map and deliver processed data to your chosen analytics platforms and storage solutions.
- Data is then routed to chosen export destinations, including Elasticsearch, Splunk, or AWS S3 — one or multiple exporters per pipeline
- Replay support allows recent datasets to be reprocessed when required for troubleshooting or validation
- A unified dashboard presents key pipeline metrics and system resource usage (CPU, memory, disk)
DataSense builds on the proven infrastructure and data-handling capabilities of Assuria's ALM-SIEM platform — ensuring trusted log integrity and operational resilience.
Ready to Implement This Workflow?
Experience the power of Assuria DataSense DPM workflow in your organisation. Get complete data sovereignty and control over your security data pipeline.