CogniSOC: An Open-Source Behavioral Analytics and Incident Response Framework for Security Operations Centers

CogniSOC is an open-source Security Operations Center (SOC) framework designed to bridge the gap between academic anomaly detection research and practical SOC workflows. The system integrates host and network telemetry collection, behavioral analytics, SIEM ingestion, correlation-based incident detection, MITRE ATT&CK mapping, alert prioritization, and automated case creation through SOAR integration. The framework combines Sysmon, Suricata, Splunk, Isolation Forest-based anomaly detection, custom correlation logic, and TheHive incident response workflows into a unified architecture. Evaluation was performed within a controlled laboratory environment using simulated adversary activity and ATT&CK-aligned attack scenarios. This preprint documents the system architecture, implementation details, evaluation methodology, operational findings, limitations, and future directions for deployable behavioral analytics in modern SOC environments.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-06-18
DOI
https://doi.org/10.5281/zenodo.20745000
Primary Topic
Network Security and Intrusion Detection
Type
preprint
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
preprint

CogniSOC: An Open-Source Behavioral Analytics and Incident Response Framework for Security Operations Centers

Ankit Singh
Zenodo (CERN European Organization for Nuclear Research)
Network Security and Intrusion Detection
preprint

CogniSOC: An Open-Source Behavioral Analytics and Incident Response Framework for Security Operations Centers

Ankit Singh
preprint en

Abstract

CogniSOC is an open-source Security Operations Center (SOC) framework designed to bridge the gap between academic anomaly detection research and practical SOC workflows. The system integrates host and network telemetry collection, behavioral analytics, SIEM ingestion, correlation-based incident detection, MITRE ATT&CK mapping, alert prioritization, and automated case creation through SOAR integration. The framework combines Sysmon, Suricata, Splunk, Isolation Forest-based anomaly detection, custom correlation logic, and TheHive incident response workflows into a unified architecture. Evaluation was performed within a controlled laboratory environment using simulated adversary activity and ATT&CK-aligned attack scenarios. This preprint documents the system architecture, implementation details, evaluation methodology, operational findings, limitations, and future directions for deployable behavioral analytics in modern SOC environments.

Zenodo (CERN European Organization for Nuclear Research)
Life in Land
Network Security and Intrusion Detection
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.