AI & machine learning

Python-powered solutions that turn complex data into models, visual analytics, and informed decisions.

Conceptual illustration of AI & machine learning

Python-Powered Solutions

Scope a focused application around your data, workflow, model requirements, and evaluation needs.

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Anomaly detection

Intelligent Anomaly Detection platforms connect network and time-series data with model evaluation, contextual analysis, and investigation workflows.

Python-powered solutions

Develop focused applications with Python, scikit-learn, Streamlit, and visual analytics suited to the operating environment.

Behaviour analysis

Explore unusual patterns in network and industrial telemetry with unsupervised and semi-supervised methods.

Decision support

Connect findings with model confidence, visual investigation, security context, and readable narratives.

Applications

Explore current machine-learning and intelligent-security work.

Conceptual illustration for ROS2 IDS/IPS

ROS2 IDS/IPS

Multi-layer machine-learning detection and response research for autonomous ground vehicles.

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Conceptual illustration for IoT/OT IDS

IoT/OT IDS

Layer-aware detection and visual investigation for industrial and connected-device traffic.

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Conceptual illustration for NexGen Cyber Intelligence

NexGen Cyber Intelligence

Multi-model detection, framework mapping, visual analytics, and readable incident narratives.

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Conceptual illustration for SHURIKEN Home Base IDS

SHURIKEN Home Base IDS

USB-portable network sensing with rule-based analysis, anomaly detection, and threat intelligence.

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Share the data, behaviour, and decisions your solution needs to support.

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