Suspect Score is a new tool designed to streamline fraud detection by aggregating various Smart Signals, such as suspicious device settings, proxy usage, and browser spoofing, into a single quantifiable value that reflects the level of suspiciousness in user activity. This score aids businesses in swiftly identifying potential fraudsters without the complexity of analyzing individual signals, as it integrates easily into existing security models through webhooks and Server API, adapting to different platforms through variable weights based on global probabilities of signal triggers. The Suspect Score, ranging from 0 to the highest suspicion level, offers an intuitive and efficient starting point for companies new to fraud prevention or those looking to enhance their security strategies by allowing real-time blocking and behavior-based analysis. Fingerprint encourages users to experiment with the score to establish personalized thresholds for suspicious activity, aiming to enhance fraud prevention and improve user experience.