Payouts.com, the AI-native financial operations OS, today announced Payout Fraud Detection, the latest addition to its fraud prevention and compliance suite. The capability identifies when one person poses as several recipients to collect rewards, referral bonuses or rebates, and stops the payment before any money leaves the account.Referral programs, cashback platforms and rebate offers are frequent targets for "multi-accounting," where one individual creates several identities to claim rewards meant for many different people. At hundreds or thousands of payouts a day, these patterns are nearly impossible to spot manually. Payout Fraud Detection adds a dedicated layer of protection to Payouts.com's existing KYC, compliance, and recipient-identity controls. It screens every payout-link redemption in real time.The moment a recipient opens a payout link, the system checks for signs of funneling: multiple payouts going to the same account or wallet (such as PayPal and Venmo), claimed from the same device, or coming through the same network. If it finds a match, it stops the payout at the exact same point."Multi-identity abuse is one of the most persistent challenges for any business that rewards its users," said Barak Hirchson, Co-founder and Chief AI Officer at Payouts.com. "Payout Fraud Detection gives our customers precise, configurable control over that risk, so they can keep rewarding real customers while stopping fraudsters before a single dollar goes out.""Payout Fraud Detection's same-device and duplicate-destination detection, along with flexible rules for alerting, holding or rejecting withdrawals, checked critical boxes for us as a design partner," said Ron Eitan, Head of Product at CashCow. "When we mentioned device intelligence, it was integrated within a day. For a rewards platform like CashCow, where fraud control is existential, having a final check at the moment of payout, long after most fraud tools have done their work, matters enormously. Payouts.com's speed and responsiveness have become a significant competitive advantage."Built for Control and ConfidenceFully configurable: Customers choose from 27 signals, including account reuse, device integrity, and network risk. For each one, they decide whether to ignore, alert, hold for review, or automatically reject.Two layers of protection: Payouts are screened when a recipient submits their details and again right before funds are sent, giving customers a built-in safety net.Hard to game: The system recognizes email aliases and formatting tricks as the same destination. Device identity is independently verified on the server before it can be used to flag anyone.Invisible to fraudsters: Flagged recipients see the same neutral confirmation screen as legitimate ones, so fraudsters learn nothing about how they were caught.Blocklists and allowlists: Customers can permanently stop known fraudsters and mark reviewed, genuine recipients as trusted. Every decision is fully audit-logged.Consolidated alerts: Real-time notifications reach customers through in-app alerts, Slack, WhatsApp, and email. Clients who embed the orchestration can manage flagged payouts end-to-end within their own workflows, from reviewing a detection to holding or releasing the payout.Clear financial impact: A dedicated dashboard shows money blocked, payouts on hold, open alerts, and auto-rejections, so teams can see the value of their fraud controls.Payout Fraud Detection is available now to all Payouts.comcustomers and can be enabled directly from the platform.NoYesPayments07 Oct, 2026