Abstract Security and SentinelOne have joined forces to deliver a powerful new integration between Abstract’s real-time security data pipeline and SentinelOne’s AI-powered Singularity Platform—reshaping how security teams detect, analyze, and respond to threats.
This partnership addresses one of cybersecurity’s biggest challenges: how to find true threats in a sea of irrelevant data. Together, Abstract and SentinelOne® provide a scalable, intelligent solution that filters out noise, reduces cost, and accelerates response times across the enterprise.
The Power of Two: Intelligence at the Edge, Clarity at the Core
SentinelOne brings market-leading autonomous protection to endpoints, cloud workloads, and identities—combining behavioral and agentic AI, real-time threat detection, and automated response across the attack surface. With Singularity AI SIEM, organizations gain fast, searchable access to ‘hot’ security data—critical for reducing MTTD (mean time to detect) and MTTR (mean time to respond).
Abstract Security complements this with a streaming-first, AI-enhanced data pipeline built specifically for security use cases. It ingests from any source, normalizes data to open standards (OCSF), applies advanced filtering, and routes high-value data into the Singularity platform.
What This Partnership Delivers
- Noise Reduction at Scale
Abstract filters out irrelevant data before it reaches SentinelOne’s Singularity™ AI SIEM, removing noise and reducing alert fatigue.
- Real-Time Analytics and Threat Detection
By combining Abstract’s in-stream threat enrichment with SentinelOne’s threat detection capabilities, teams can detect and respond to threats faster and with greater accuracy.
- No-Code Integration & Easy Migration to SentinelOne
With Abstract’s easy to use drag-and-drop pipeline creation, security teams can deploy in minutes without engineering effort and migrate from legacy SIEMs to SentinelOne’s Singularity™ AI SIEM with zero downtime—thanks to prebuilt connectors and automatic data normalization.
- Unified Security Architecture
Together, the platforms create a streamlined, modern security stack—eliminating data silos, blind spots, and manual workflows.
Why It Matters Now
Organizations are under pressure to reduce risk, lower costs, and modernize outdated security infrastructure. This partnership offers a practical, high-impact path forward—unlocking value from existing data and enabling security teams to operate at machine speed.
For security teams looking to move beyond the limitations of legacy SIEMs, this opportunity delivers a modern security operations platform built for today and ready for what’s next.
Abstract Security Introduces Shift Left for Detection, Turning Real-Time Insight into a Strategic Advantage
Posted in Commentary with tags Abstract Security on July 23, 2025 by itnerdAbstract Security, the pioneer in streaming detection and response, today unveiled its groundbreaking Shift Left strategy for security operations—bringing real-time analytics, correlation, and response closer to the source of data. Abstract’s new model empowers security operations teams to detect threats in stream, before data hits storage—not after the damage is done.
Read more about the Shift-Left Detections Approach from Abstract Security: www.abstract.security/blog/shift-left-detections-with-abstract.
Why Shift Left for Detection Matters
Instead of analyzing logs hours after an event, Abstract enables security teams to detect and respond in the moment:
The result: security operations that are not only faster, but smarter, leaner, and more effective.
A New Standard for ROI in Detection
Traditional detection requires pushing massive volumes of telemetry into SIEMs just to run rules—an expensive, delayed, and inflexible process. Abstract changes the economics of detection by running analytics in-stream:
To learn more about how companies like Juul Labs are already transforming their journey with Abstract, visit https://www.abstract.security/abstract-canvas.
Detection-as-Code, Powered by ASTRO
Abstract’s ASTRO team delivers constantly evolving detection logic and threat intelligence as code—built for real-time execution. ASTRO also treats DFIR as code, enabling live incident investigations, timeline reconstruction, and playbook automation directly in the stream.
DFIR becomes just as fast and automated as detection itself. Learn More about the DFIR-As-Code from Abstract in their blog series here.
A Shift Worth Making
Abstract’s Shift Left philosophy offers security teams a chance to modernize without overhauling. You don’t need to rip and replace. You just need to move detection to where the action is—before the threat moves past you.
Leave a comment »