Why Fraudsters Look Trustworthy and Good Customers Look Suspicious
What's happening
Fraud is shifting from one-off payment scams to identity-first attacks that blend into normal customer behavior. Criminals are using AI to build convincing false identities, mimic voices and faces, and operate through legitimate credentials so they pass checks and take over accounts. At the same time, real customers are adopting behaviors such as VPNs and other privacy measures that resemble traditional risk signals, and attackers are industrializing e-commerce fraud to run at scale and greater profitability (one report says AI has made fraud 4.5 times as profitable). That combination is leaving issuers and issuers' fraud teams struggling to tell fraudsters apart from good customers as attacks span channels, devices and long-term relationships.
Why it's trending
Because AI is making fake identities, voice/facial spoofs and scaled criminal operations more realistic and profitable while legitimate customer privacy behaviors now look like risk signals.
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Your fraud model is biased against your best customers, and that's exactly what scammers want right now.
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Original sources6
- Why account takeover fraud is harder to detect
Account takeover fraud is becoming harder for financial institutions to detect as criminals increasingly operate through legitimate customer credentials. A valid login, established account and routine profile changes can make malicious activity appear genuine, allowing attackers to gain control before an obviously fraudulent transaction takes place. For financial institutions, this means detection
FinTech GlobalSep 18 - AI is industrialising E-Commerce Fraud
Artificial intelligence is transforming online fraud from a collection of individual scams into something resembling an industrialised criminal supply chain, allowing attackers to operate at unprecedented speed and scale. New... read more The post AI is industrialising E-Commerce Fraud appeared first on Payments Industry Intelligence .
Payments Industry IntelligenceSep 17 - Why Fraudsters Look Trustworthy and Good Customers Look Suspicious
Criminals are increasingly aware of the signals banks use to identify “good customers”—and they are using that knowledge to evade detection. At the same time, legitimate customers are adopting behaviors that were once considered tried-and-true risk signals. Data breaches and privacy concerns, for example, have spurred many consumers to use VPNs, a behavior that was […] The post Why Fraudster
PaymentsJournalSep 17
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