Fraud prevention has evolved significantly with the rise of artificial intelligence (AI) agents, which have surpassed traditional bots in sophistication and stealth. These AI agents are capable of creating fake accounts, adapting tactics, and executing complex fraud schemes, making them challenging to detect with outdated tools like CAPTCHAs and static rules. Device intelligence platforms such as Fingerprint offer a solution by analyzing over 100 device and browser signals to create detailed visitor profiles, even identifying AI agents attempting to mask their identity through methods like VPNs or virtual machines. Fingerprint enhances detection with Smart Signals that identify bot activity, browser tampering, and other suspicious behaviors, all while minimizing user friction. The key to effective fraud prevention lies in using adaptive, layered defenses that evolve with AI tactics, ensuring security without compromising user experience.