Zighra GenesysInsights is an AI-powered platform designed to detect and analyze GNSS (Global Navigation Satellite System) disruptions, including jamming and spoofing, in real time. It is built for critical infrastructure protection and high-risk operational environments where Position, Navigation, and Time (PNT) integrity is essential. The platform uses sensor fusion, edge computing, and explainable machine learning to aggregate and process data from multiple sensors and sources into a unified common operating picture. This interface is designed to give human operators clear situational awareness without requiring them to manually parse raw sensor data. Core operational workflow: - Understand: Autonomously ingests and parses multi-sensor data into a single explainable interface for real-time situational awareness. - Decide: Presents decision points and AI-generated recommendations to operators rather than raw alerts, reducing cognitive load in time-sensitive scenarios. - Act: Enables operators to take real-time action based on mapped GNSS signal disruptions and detected behavioral anomalies. The platform continuously monitors GNSS and sensor signals, detecting anomalies by contextualizing patterns of behavior using PNT kinematic data. Alerts are generated when potential jamming or spoofing events are identified, supported by multi-sensory data fusion and deep machine analytics. GenesysInsights uses explainable AI/ML models, meaning the reasoning behind alerts and recommendations is presented in a human-interpretable format. This is intended to support appropriate operator trust in automated systems operating in dynamic or contested environments.