Smarter Ingestion, Greater Efficiency
SentinelOne’s Singularity™ AI SIEM ingests massive amounts of security data, but post-ingestion filtering and enrichment can drive up storage and compute costs. Abstract optimizes at the source, applying normalization, enrichment, and precision filtering in-stream so only high-value events reach Singularity. The result is cleaner data, lower overhead, and more predictable storage strategies.
Accelerate Detection with Real-Time Streaming Analytics
Singularity provides powerful autonomous detection and AI-driven analytics across environments. Abstract amplifies this by running detections and enrichment in real time, surfacing threats earlier and reducing mean time to detect and respond from minutes to seconds. Analysts gain high-fidelity alerts with less noise and broader visibility across endpoints, cloud, and SaaS.
Simplified Migration and Future-Ready Operations
Migrating to Singularity or expanding its use often requires manual setup and engineering effort. Abstract speeds adoption with prebuilt connectors, OCSF-native transformations, and a drag-and-drop interface that simplifies onboarding SaaS, identity, and multi-cloud sources. This unifies the data strategy, reduces complexity, and gives teams flexible, no-code deployment options designed to scale as threats evolve.
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