BOSTON, MA — March 12, 2026 — SOC Prime today announced the release of DetectFlow Enterprise, a solution that brings real-time threat detection to the ingestion layer, turning data pipelines into detection pipelines.
Running tens of thousands of Sigma detections on live Kafka streams with millisecond MTTD using Apache Flink, DetectFlow Enterprise enables security teams to detect, tag, enrich, and correlate threat data in flight before data reaches downstream systems such as SIEM, EDR, and Data Lakes. This gives organizations a way to expand detection coverage earlier in the processing flow, enrich security telemetry before downstream analysis, and scale detection on infrastructure they already have.
As detection volumes continue to grow, many SOC teams face the same set of operational challenges, such as delayed detections, rising ingestion costs, infrastructure bottlenecks, fragmented visibility across tools, and difficulty scaling rule coverage without adding more operational overhead. DetectFlow Enterprise is designed to address those pressures by moving detection closer to the data pipeline itself, where events can be inspected, enriched, and correlated in real time.
This release reflects a practical shift in how detection is operationalized. Rather than treating the pipeline as a transport layer alone, DetectFlow Enterprise turns it into an active part of the detection workflow. Teams can manage detections from cloud or local sources, stage and validate updates, and roll out changes safely with full traceability and zero downtime. This new architectural approach also establishes DetectFlow Enterprise as a foundation for unified CI/CD workflows across the SOC Prime Platform, supporting more scalable and efficient security operations.
Teams can also run thousands of detections directly on streaming pipelines with real-time visibility and in-flight tagging and enrichment. They can correlate events across multiple log sources at the pre-SIEM stage, helping surface the attack chains that matter in real time while reducing noise and false positives.
By performing correlation before data reaches the SIEM, DetectFlow Enterprise allows teams to evaluate full telemetry streams against thousands of rules without the performance and cost trade-offs of downstream ingestion. Built on SOC Prime’s Detection Intelligence dataset, shaped by 11 years of continuous threat research and detection engineering, DetectFlow uses Flink Agent to assemble detections, events, and relevant active threat context for AI-powered analysis. This helps security teams surface high-confidence attack chains, improve investigative clarity, and accelerate response to critical threats.
I have spent most of my career working across threat detection, SIEM, EDR, and SOC operations, and one challenge remained constant. Detection logic was always constrained by the performance and economics of the underlying stack. With DetectFlow Enterprise, we are giving teams a way to move beyond those constraints by turning the data pipeline into an active detection layer, running rules at stream speed, enriching telemetry in flight, and helping organizations scale detection without rearchitecting the rest of their security environment.
Andrii Bezverkhyi, CEO and Founder of SOC Prime
DetectFlow is designed to work with existing ingestion architecture, requiring no changes to established SIEM workflows. It supports both air-gapped and cloud-connected deployments, allowing organizations to keep data under their control while extending detection across the broader security ecosystem. It can achieve an MTTD of 0.005–0.01 seconds and help organizations increase rule capacity on existing infrastructure by up to ten times.
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.
Pioneering Security-as-Code approach, SOC Prime’s Detection Intelligence is applied to over 56 SIEM, EDR, Data Lake, and Data Pipeline platforms. The company continuously improves its breadth and quality of threat coverage, shipping top-quality signals for AI SOCs and security analysts.
For more information, visit https://socprime.com or follow us on LinkedIn & X.
