Python-powered solutions
Develop focused applications with Python, scikit-learn, Streamlit, and visual analytics suited to the operating environment.
Python-powered solutions that turn complex data into models, visual analytics, and informed decisions.
Scope a focused application around your data, workflow, model requirements, and evaluation needs.
Intelligent Anomaly Detection platforms connect network and time-series data with model evaluation, contextual analysis, and investigation workflows.
Develop focused applications with Python, scikit-learn, Streamlit, and visual analytics suited to the operating environment.
Explore unusual patterns in network and industrial telemetry with unsupervised and semi-supervised methods.
Connect findings with model confidence, visual investigation, security context, and readable narratives.
Explore current machine-learning and intelligent-security work.
Multi-layer machine-learning detection and response research for autonomous ground vehicles.
Explore ROS2 IDS/IPSLayer-aware detection and visual investigation for industrial and connected-device traffic.
Explore IoT/OT IDSMulti-model detection, framework mapping, visual analytics, and readable incident narratives.
Explore NexGenUSB-portable network sensing with rule-based analysis, anomaly detection, and threat intelligence.
Explore SHURIKENShare the data, behaviour, and decisions your solution needs to support.