Artificial intelligence is changing both sides of payments fraud. Fraudsters can use it to make impersonation attempts more convincing, while finance teams can use it to score transactions, verify documents and identify anomalies.

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PYMNTS Intelligence’s “Prevention First: Building a Smarter Defense Against Payments Fraud,” produced in collaboration with Bottomline, surveyed 150 U.S. treasury and finance executives at companies with at least $100 million in annual revenue. Respondents were responsible for or knowledgeable about how their organizations protect outbound payments to vendors and suppliers.

Looking across the findings reveals several divides that help show where corporate payment security is going next.

Artificial intelligence-driven transaction monitoring ranks high on companies’ investment agendas, but it doesn’t rank first.

Eighty-one percent of firms say they are likely to adopt or improve automated vendor-onboarding verification during the next 12 months, while 75% cite real-time bank account verification before payment. AI-driven transaction monitoring comes third at 73%.

The ordering matters because it shows where companies see the first line of defense. Rather than relying primarily on technology to identify a suspicious transaction after a payment instruction enters the process, firms are putting more emphasis on establishing whether the vendor and destination account are legitimate before money moves.

Corporate adoption of AI fraud tools doesn’t follow a gradual progression from one application to several.

Fifty-seven percent of companies use no AI fraud-detection tools, while 42% use three or more.

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