DataSense® Features
Complete data pipeline management solution designed to transform how you collect, process, enrich, and deliver security data.
How DataSense Works
DataSense uses a simple two-component architecture: Exporters define where data goes, and Pipelines define how data is processed. Configure both in minutes for immediate data flow.
Exporters
Define destinations for your data (Elasticsearch, Splunk, AWS S3, etc.)
Pipelines
Process, filter, and enrich data before sending to exporters
Collect
Universal data collection from any source
Web-Based Login with MFA
Access securely via browser
Secure access to DataSense through a web browser with multi-factor authentication for enhanced security in critical environments.
Security Features
- Multi-factor authentication
- Browser-based access
- Secure session management
Multi-Destination Support
Route logs from a pipeline to multiple exporters
Route processed data to multiple destinations simultaneously, supporting various SIEM platforms, cloud storage, and custom endpoints from a single pipeline.
Supported Destinations
Process
Advanced data processing and optimisation
Field Redaction & Removal
Mask or drop fields before export
Remove or mask sensitive fields from log data before export to reduce costs and improve security. Configure field-level redaction and removal to ensure only necessary data is processed and stored.
Key Benefits
- Field-level redaction and removal
- Sensitive data protection
- Data pipeline management
- Compliance support
Regex & Predicate Filtering
Filter and process data efficiently
Filter and process telemetry data efficiently using regex patterns and predicate-based filtering. Keep only relevant data while discarding unnecessary information before routing to your chosen destinations.
Key Benefits
- Regex pattern matching
- Predicate-based filtering
- Significant cost reduction
- Improved data quality
Enrich
Advanced threat intelligence and data enrichment
Threat Intelligence Enrichment
Highlight suspicious domains, IPs, and hashes
Enhance security events with threat intelligence data to highlight suspicious domains, IPs, and hashes. Add contextual information to improve data quality and analysis capabilities.
Enrichment Capabilities
Key Benefits
- Enhanced data quality
- Contextual intelligence
- Improved analysis accuracy
Advanced Capabilities
Core features that make DataSense powerful and easy to use
Visual Pipeline Builder
Create and manage pipelines via a web UI
Build and configure data pipelines through an intuitive web interface. Drag-and-drop functionality makes it easy to create complex data processing workflows without coding.
Key Features
- Drag-and-drop interface
- Real-time pipeline monitoring
- Visual workflow design
Flexible Exporters
Send logs to SIEMs, cloud storage, or custom endpoints
Route processed data to multiple destinations including SIEM platforms, cloud storage, and custom endpoints. Configure exporters to match your specific requirements and infrastructure.
Supported Destinations
Replay Support
Reprocess recent logs when needed
Reprocess recent logs when needed to test new configurations or recover from processing issues.
Planned Capabilities
- Log reprocessing
- Configuration testing
- Data recovery
System Metrics
Monitor CPU, memory, disk usage
Monitor system performance and resource utilisation through comprehensive metrics. Track CPU, memory, and disk usage to ensure optimal system health and performance.
Key Metrics
- CPU utilisation
- Memory usage
- Disk space monitoring
Dataset Monitoring
View success/failure counts, pipeline stats
Monitor dataset processing performance with detailed success and failure counts. Track pipeline statistics to ensure data integrity and identify processing issues.
Monitoring Features
- Success/failure counts
- Pipeline statistics
- Data integrity tracking
Technical Terms
Redaction
The process of removing or masking sensitive information from log data to protect privacy and reduce storage costs.
Enrichment
Adding contextual information to log data, such as IP geolocation or threat intelligence, to improve analysis capabilities.
Replay
The ability to reprocess historical log data through updated pipeline configurations for testing or recovery purposes.
Exporter
A component that defines where processed data is sent, such as to SIEM platforms, cloud storage, or custom APIs.
ALM-SIEM
Assuria's trusted SIEM platform used in defence and government. The core technology that powers ALM also forms the foundation of DataSense — particularly in secure log ingestion and data integrity. However, DataSense is an independent platform, with its own pipeline logic, enrichment, and export layers.
Pipeline
A sequence of processing steps that transform, filter, and route log data from sources to destinations.
Why These Features Matter
Cost Reduction
Efficiently manage and process telemetry data through intelligent optimisation and routing.
Performance
Process high volumes of logs with forensic integrity and accurate log handling.
Security
Complete data ownership with data sanitisation, redaction, and compliance features.
Ready to Transform Your Data Pipeline?
Experience the power of DataSense and see how our features can revolutionise your security operations.