FraudLock360 is a behavioural biometrics and fraud detection platform that uses machine learning to perform real-time continuous authentication of users and devices. It collects hundreds of behavioural data points per session across desktop and mobile interfaces to detect fraudulent activity and cyber threats without relying solely on traditional authentication methods. On desktop, the platform captures mouse movements, typing speed, and keystroke pressure. On mobile and tablet devices, it captures speed and acceleration, device angle and height, touchscreen interactions, and gyroscopic movements. The platform is designed to detect a range of threats including malware, bots, spyware, trojans, web injections, rogue scripts, and data harvesting. On the fraud side, it covers account takeover, peer-to-peer fraud, stolen card use, identity theft, friendly fraud, payment fraud, and internal fraud. It also includes dark web monitoring and cyber threat intelligence alerts. FraudLock360 operates through a single API and includes third-party data enrichment capabilities, such as IP address lookup, full device fingerprinting, identification of devices and users with prior exposure to cyber threats, and flagging of previous participation in fraudulent networks. The platform supports customised alert types per industry. Key outcomes cited include a reduction in false positives by over 80%, up to 70% reduction in the need for secondary authentication, and decreased basket drop-off in transaction flows. It operates under GDPR compliance.