Description
SentinelOne's Singularity™ AI Data Pipelines offer an intelligent solution to the overwhelming challenge of security data management. Traditional, static data pipelines often lead to excessive costs, slow SIEM migrations, and critical security blind spots due to budget constraints on data retention. This leads to a reality where organizations possess vast amounts of security data but struggle to derive meaningful value from it.
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These AI-powered pipelines transform raw telemetry into cleaner, more consistent, and AI-ready data. By leveraging AI, they proactively identify and reduce repetitive, low-value telemetry before it even reaches the SIEM. This significantly cuts down log volume, thereby lowering ingest costs and preserving the crucial signals needed for faster investigations and more accurate threat detections.
For organizations facing complex and time-consuming SIEM migrations, SentinelOne provides a streamlined path. The AI Data Pipelines eliminate the need for new collectors and minimize pipeline rework, allowing high-value data to be integrated into AI SIEM platforms more rapidly. This approach breaks free from the legacy cost and complexity associated with SIEM upgrades.
Furthermore, the pipelines enhance visibility by enabling faster onboarding of new data sources. They normalize diverse telemetry using out-of-the-box transforms and AI-driven Grok pattern generation. By applying standardized schemas like OCSF, data is consistently structured and enriched, ensuring it is readily available for analysis across the Security Operations Center (SOC).
The core value proposition lies in making security data work smarter. This translates to reduced operational costs, accelerated data onboarding processes, and ultimately, improved detection and investigation capabilities. SentinelOne's solution empowers SOC teams to move faster, gain deeper insights, and achieve better security outcomes by transforming noisy data into actionable intelligence.
- CategoryAI Cybersecurity Tools
- DeploymentCloud
SentinelOne Security Data Pipelines's Core Features
AI-driven noise reduction for security telemetry
Streamlined SIEM migration without new collectors
Faster onboarding of diverse data sources
Data normalization to OCSF and other standardized schemas
AI-driven Grok pattern generation
Reduced log volume and ingest costs
Improved signal preservation for investigations
Enhanced data consistency for AI SIEM analysis
Transformation of raw telemetry into AI-ready data
Expansion of security data visibility
How to use SentinelOne Security Data Pipelines?
Configure Data Sources: Connect your various security data sources to the pipeline.
Apply AI Optimization: Utilize AI to identify and reduce noisy, low-value telemetry.
Normalize Data: Standardize diverse data formats using OCSF and other schemas.
Accelerate SIEM Onboarding: Migrate data to your SIEM faster with minimal rework.
Enhance Visibility: Integrate new data sources quickly and efficiently.
Improve Investigations: Leverage cleaner, higher-signal data for faster threat detection and analysis.
SentinelOne Security Data Pipelines's Use Cases
- SIEM Data Optimization
- Accelerated SIEM Migration
- New Data Source Onboarding
- Enhanced Threat Detection
- Streamlined Investigations
- Cost Reduction
- Data Standardization
