Fraudsters often exploit site or app registrations to commit various illegal activities, making robust identity verification crucial for businesses. Traditional checks like verifying email and phone numbers can be bypassed through methods like SIM swapping, while more stringent measures such as physical ID checks may deter genuine users. Device intelligence is proposed as a solution to enhance identity verification by using device-based risk signals to identify potential fraudsters. This involves evaluating discrepancies in device location, detecting automated bot activity, and creating a composite risk score from various device signals. Fingerprint's technology leverages these insights through its Smart Signals to provide a comprehensive assessment of fraud risk, allowing businesses to implement adaptive verification processes without compromising user experience. Additionally, checking for duplicate account details and using unique visitor identifiers can help identify fraudulent activities. By integrating these advanced verification techniques, businesses can better protect against fraud, abuse, and other exploits, while still accommodating genuine users.