Zighra Explainable AI is a behavioral authentication and threat detection platform that uses AI and machine learning to continuously verify user identity and detect compromised sessions in real time. The platform operates by learning fine-grained patterns of real user behavior and the system processes they legitimately use. When activity is detected that uses valid credentials but cannot be attributed to the real user, the system flags it as a behavioral compromise. Core capabilities include: - Continuous multi-factor authentication (ContinuousMFA) powered by behavioral biometrics, eliminating the need for passwords - Explainable AI/ML models that present human-readable decision support to security analysts and operators, rather than opaque alerts - Real-time situational awareness that aggregates data from sensors, contextual factors, and data sources into a unified operating picture - Session risk assessment using behavioral biometrics to evaluate transaction-level identity confidence - Command and control functionality enabling remote session locking and asset shutdown across distributed environments The system is designed to function at the tactical edge, supporting high-risk and dynamic environments where rapid decisions are required. Its AI models learn entirely on-device and are described as learning from human-machine and machine-machine interactions. Trust levels are determined by a combination of behavioral verifiers and contextual intelligence drawn from the local environment. The platform is positioned as a zero trust enabler through continuous, passwordless authentication.