How Can AI in Payments Balance Innovation With Fraud Risk?

AI is changing how your customers pay, but it brings new risks along with faster approvals. This update explores how payment networks are using two different types of AI to protect transactions. Deterministic AI follows set rules to catch known scams. Probabilistic AI looks for patterns to spot new, suspicious behaviors in real-time. For retailers, this technology is the engine behind 'frictionless' checkouts. It helps ensure that legitimate customers aren't flagged as fraud, which reduces cart abandonment. However, as AI becomes more common in point-of-sale financing and BNPL, the speed of transactions creates a window for 'synthetic identity' fraud. You need to know that your lending partners are using these advanced tools to vet applicants instantly. The goal for your business is a balance: you want the instant 'yes' for the customer, but you need the security to ensure the loan is valid. As these AI models evolve, expect more payment providers to offer built-in fraud protection that operates in milliseconds. This allows you to focus on selling rather than worrying about payment disputes or identity theft at the register.

Source: Finextra — Lending

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