4. Data Processing
Data processing is key to effective intelligence management. It improves data quality by eliminating outdated or incorrect elements and normalizes data from multiple sources into a single data model and schema, regardless of original structures. This provides the highest fidelity intelligence in structured outputs (such as JSON) that support automated actions in your security workflows.
When data is sent to the TruSTAR platform, the Intelligence Pipeline extracts and cleans up observables, then enriches them with your intelligence sources. Intelligence Pipelines automate this data-wrangling work so that your team can focus on analysis and decision-making instead of spending time on data ETL.