About the work
DarkVortex OT is a proprietary cybersecurity sensor for the detection and prediction of cyberattacks in industrial networks and Operational Technology (OT) environments.
The system performs passive network traffic analysis and applies behavioral, statistical, and predictive techniques to identify anomalous activity, early-stage attack patterns, and potential attack progression in Industrial Control Systems (ICS).
This registration protects the original source code, scripts, internal logic, configuration files, and technical documentation contained in the uploaded archive. The software is not publicly released, and no rights for use, reproduction, modification, distribution, or commercialization are granted.
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Title DarkVortex OT – Proprietary Industrial OT Intrusion Detection Software Sensor
DarkVortex OT is a proprietary cybersecurity sensor for the detection and prediction of cyberattacks in industrial networks and Operational Technology (OT) environments.
The system performs passive network traffic analysis and applies behavioral, statistical, and predictive techniques to identify anomalous activity, early-stage attack patterns, and potential attack progression in Industrial Control Systems (ICS).
This registration protects the original source code, scripts, internal logic, configuration files, and technical documentation contained in the uploaded archive. The software is not publicly released, and no rights for use, reproduction, modification, distribution, or commercialization are granted.
Work type Source Code
Tags detección de anomalías, análisis de tráfico, pcap, redes ot, python, computación cuántica, circuitos variacionales, ciberseguridad industrial, qiskit.
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Registry info in Safe Creative
Identifier 2601274383806
Entry date Jan 27, 2026, 8:38 PM UTC
License All rights reserved
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Copyright registered declarations
Author. Holder José Israel Nadal Vidal. Date Jan 27, 2026.
Information available at https://www.safecreative.org/work/2601274383806-darkvortex-ot-proprietary-industrial-ot-intrusion-detection-software-sensor
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Registration: 2601274383806
