A security analyst is setting up a Security Information and Event Management (SIEM) pipeline to process incoming telemetry from enterprise web application firewalls. Arrange the stages of the SIEM log processing workflow in the correct operational sequence, from initial data receipt to incident notification.
- 1Log Collection (Inbound raw log data is gathered from sensor endpoints and sent to the SIEM receiver)
- 2Parsing (Unstructured log strings are broken down into distinct variables such as IP address, request method, and timestamp)
- 3Data Normalization (Extracted fields are mapped into a unified database taxonomy and standardized format)
- 4Event Correlation (Normalized logs are evaluated against predefined behavioral logic and cross-source rules)
- 5Alerting and Incident Generation (A security notification or ticket is dispatched to SOC analysts upon rule trigger)
Cevap
The correct sequence for the SIEM log processing workflow is Log Collection, Parsing, Data Normalization, Event Correlation, and Alerting and Incident Generation.
The standard SIEM data pipeline follows a strict dependency hierarchy: Data must first be gathered (Collection), converted from raw text into structured attributes (Parsing), mapped to a single standard schema (Normalization), evaluated for multi-source indicators of compromise (Correlation), and finally communicated to security analysts when thresholds are breached (Alerting).
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SIEM Log Processing Pipeline Lifecycle
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