SentinelOne

SentinelOne offers a specialized security data pipeline solution, Singularity™ AI Data Pipelines, designed to transform raw telemetry into actionable intelligence for Security Operations Centers (SOCs) and modern Security Information and Event Management (SIEM) systems. Instead of relying on static, rule-based data processing, the platform uses artificial intelligence to dynamically filter, normalize, and route security data, addressing the common challenge of overwhelming noise and high costs associated with storing and analyzing massive volumes of telemetry. The core function of the solution is to reduce noisy, repetitive, low-value telemetry before it ever reaches a SIEM. By intelligently classifying and deduplicating events, it cuts down storage and processing expenses while ensuring that only meaningful signals are retained for analysis. For example, millions of identical firewall logs or endpoint alerts can be condensed into a handful of representative events with context, dramatically lowering data ingestion costs without sacrificing visibility. Another key capability is the conversion of raw data into the Open Cybersecurity Schema Framework (OCSF) format. Many organizations struggle with heterogeneous data sources—cloud logs, endpoint detections, network flows, identity events—each with its own schema. SentinelOne’s data pipeline automatically maps and transforms these diverse inputs into a standardized OCSF structure, enabling seamless correlation across tools and reducing the engineering burden of manual schema mapping. This is particularly valuable for SOC teams that need to query across multiple data lakes or SIEM environments using a consistent query language. The platform also includes built-in sensitive data detection and masking. When preparing data for