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SOC Prime Launches DetectFlow Enterprise for Agentic AI


SOC Prime Launches DetectFlow Enterprise for Agentic AI
  • by: Source Logo
  • |
  • March 12, 2026

SOC Prime has launched DetectFlow Enterprise, an enterprise-grade solution designed to transform standard data pipelines into intelligent detection pipelines by bringing real-time threat detection directly to the ingestion layer. This approach allows security teams to detect, enrich, and correlate threats in flight, delivering faster mean time to detect (MTTD) and expanded coverage before data reaches downstream systems like SIEM, EDR, or data lakes.

Quick Intel

  • DetectFlow Enterprise runs thousands of Sigma detections on live Kafka streams using Apache Flink for millisecond MTTD.
  • It detects, tags, enriches, and correlates threat data in real time before ingestion into SIEM, EDR, or data lakes.
  • Pre-SIEM correlation across multiple log sources surfaces attack chains, reduces noise, and minimizes false positives.
  • Built on SOC Prime’s Detection Intelligence dataset with 11 years of threat research for high-confidence insights.
  • Flink Agent assembles detections, events, and active threat context to enable AI-powered analysis and incident narratives.
  • Enables scalable detection on existing infrastructure without performance or cost trade-offs of downstream processing.

Real-Time Threat Detection at the Ingestion Layer

DetectFlow Enterprise shifts detection upstream by processing live streaming data with tens of thousands of Sigma rules. Leveraging Apache Flink, it achieves millisecond-level detection on Kafka streams, allowing security teams to identify threats at the earliest stage of the data pipeline. This in-flight approach enriches telemetry with context and tags relevant events, improving overall visibility and reducing the burden on downstream analytics tools.

In-Flight Correlation and Attack Chain Detection

By correlating events from multiple log sources before they reach the SIEM, DetectFlow Enterprise identifies meaningful attack chains in real time. This pre-processing helps surface high-priority threats while filtering out noise and false positives. The solution evaluates full telemetry streams against extensive rule sets without the typical performance constraints or high ingestion costs associated with traditional downstream correlation.

AI-Powered Analysis and Threat Intelligence Integration

DetectFlow Enterprise integrates SOC Prime’s extensive Detection Intelligence dataset, informed by over a decade of continuous threat research and detection engineering. The Flink Agent combines detections, related events, and active threat context to support AI-driven analysis. This capability generates comprehensive threat reports that stitch correlated logs into clear incident narratives. “Attack Chains take events your pipelines already tagged with Sigma rules and correlate them around active threats, grouping related matches into a single incident narrative. On top of solving the detection volume, we’ve added the comprehensive threat report that stitches up correlated logs into a detected threat intel.” – Andrii Bezverkhyi, Founder & CEO of SOC Prime

DetectFlow Enterprise empowers security operations teams to achieve earlier, more accurate threat detection and response within their existing data infrastructure. By embedding agentic AI capabilities into streaming pipelines, it enhances efficiency, scalability, and investigative speed in modern security environments.

About SOC Prime

SOC Prime has built and operates the world’s largest AI-Native Detection Intelligence Platform for SOC teams. Trusted by over 11,000 organizations, the company delivers real-time, cross-platform detection intelligence that helps security teams to anticipate, detect, validate, and respond to cyber threats faster and more effectively.

  • Agentic AIThreat DetectionCyber Security
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