Abstract Security, a streaming-first security data operations pioneer and leader, announced a strategic partnership with Netskope that allows joint customers to integrate threat detection directly into live data streams and remove the indexing delay that has historically hindered security response times. The partnership is intended to help customers detect threats more quickly and with less expense and complexity than traditional log-based security operations.
As part of the new integration, Abstract Security and Netskope allow customers to simplify the processing and analysis of Netskope One telemetry data. By consuming high-fidelity Security Service Edge (SSE) telemetry directly into Abstract’s adaptive streaming engine, customers can filter, enrich, and forward key security signals to their chosen SIEM, data lake, or analytics destination. This preserves complete data sovereignty and provides unparalleled visibility with far less expense than traditional high-volume log ingestion.
“Abstract is very committed to working with Netskope to provide customers fast detections, reduced false positives and measurable ROI through reduced storage costs and accelerated mean-time-to-detection,” said Mike Anderson, VP, Business Development at Abstract Security. “Our combined focus on best-in-class, in-motion analytics provides organizations with the real-time context and control required to secure the modern cloud perimeter.”
Bringing Control Back to Security Data
Today’s cloud-first companies produce huge amounts of security data. Many security teams still use old detection models. These models analyze data only after it is ingested and indexed. This creates delays and forces tough choices between visibility, speed, and cost. By moving detection into the data stream, Abstract Security and Netskope remove these bottlenecks. This allows for faster and more effective threat responses.
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Key capabilities enabled by the integration include:
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In-Stream Detection: Abstract analyzes Netskope Log Streaming data in motion to identify anomalies, patterns, and potential threats in real time.
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Adaptive Enrichment: Security events are enriched with identity, geographic, and threat intelligence context before reaching downstream systems.
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Dynamic Routing: Only high-value, relevant security events are forwarded to SIEMs, data lakes, or analytics platforms, reducing noise and waste.
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Seamless Integration: A lightweight deployment developed in close collaboration with Netskope for rapid adoption.
Measurable ROI for Security Teams
The partnership delivers tangible operational and financial benefits, including:
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Immediate Visibility: Risks are detected as data flows, reducing mean-time-to-detection through a proactive, “shift-left” security model.
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Operational Efficiency: Organizations can address the challenge of data sprawl by cutting log ingestion and storage costs by up to 70%, while preserving deep SkopeIT™ metadata visibility for precise investigations.
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Actionable Analytics: Raw SSE telemetry turns into useful insights. It uses detailed user, device, and data context. This helps cut down alert fatigue and allows for quicker, automated responses.
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Unified Architectural Agility: One adaptive streaming layer replaces old, fragmented systems. This consolidates inspection and analytics into a scalable, low-latency setup.
Abstract Security provides real-time threat detection. It combines data pipelines, analytics, and AI enrichment into a seamless streaming platform. Abstract doesn’t just store all security data. It inspects and correlates events in real time. Then, it sends only the important information to SIEMs, data lakes, and response systems. This helps security teams act faster and with more confidence.