The alliance offers a practical path forward, allowing organizations to draw value from current data and increase security team efficiency.
SAN FRANCISCO— Abstract Security and SentinelOne have joined forces to link Abstract’s real-time security data pipeline with SentinelOne’s AI-powered Singularity Platform.
Finding genuine threats in a flood of irrelevant logs remains one of cybersecurity’s biggest challenges. Abstract Security and SentinelOne say their integrated solution can filter out noise, reduce operational costs, and accelerate response times across enterprise operations, helping reshape how teams detect, analyze, and respond to threats.
Enterprises often ingest hundreds of millions of events per day, making it difficult for operations teams to find the most critical alerts. The combined solution is built to scale with data volumes and keep costs under control.
SentinelOne’s Singularity Platform offers autonomous protection for endpoints, cloud workloads, and identities. It combines behavioral and agentic AI engines with real-time threat detection and automated response across the attack surface. Singularity AI SIEM gives organizations fast, searchable access to ‘hot’ security data. This capability is critical for cutting mean time to detect (MTTD) and mean time to respond (MTTR).
Abstract Security supports this setup with a streaming-first, AI-enhanced pipeline built for security workflows. That pipeline ingests data from any source, maps it to open standards (OCSF), applies advanced filtering, and forwards high-value events into the Singularity environment. Examples of supported sources include network sensors, endpoint agents, cloud logs, and custom applications. OCSF provides a shared data model that helps tools communicate in a consistent format.
“Security operations need to evolve as fast as threats do. By uniting Abstract’s real-time data precision with the autonomous power of our Singularity Platform, we’re enabling enterprises to move at machine speed, turning mountains of data into actionable insights and delivering a new era of AI-driven cyber resilience,” says Ely Kahn, VP of product management at SentinelOne.
Abstract filters out irrelevant logs before they reach the Singularity AI SIEM. This noise reduction at scale eases alert fatigue and helps analysts focus on genuine incidents.
The integration blends real-time analytics with SentinelOne’s threat detection capabilities. Abstract’s in-stream enrichment layers context onto events before they are evaluated by AI engines, so operations teams can identify and contain threats with greater speed and accuracy.
Deployment requires no coding and comes with a straightforward migration process. Security teams use a drag-and-drop interface to set up the pipeline in minutes, and prebuilt connectors plus automatic data normalization eliminate downtime when switching from legacy SIEM systems.
By unifying data from multiple sources within a single architecture, the combined solution breaks down data silos, closes visibility gaps, and removes manual handoffs across security workflows.
Organizations face mounting pressure to lower risk, trim expenses, and modernize aging security infrastructure. The collaboration delivers a practical, high-impact approach to draw value from existing data and help teams move at higher speeds.
“This partnership is about outcomes. Security leaders are tired of being forced to choose between speed, scale, or accuracy and with this partnership, they no longer have to. By partnering with SentinelOne, we are bringing a future-ready approach to SIEM—simple, intelligent, and built to move fast,” adds Michael Anderson, VP, business development at Abstract Security.
