Retail account fraud: Make it stop with device intelligence

Fraud prevention in online retail is evolving beyond traditional measures like passwords and CAPTCHAs, which are increasingly ineffective against sophisticated, AI-driven threats. The shift towards omnichannel shopping has expanded the attack surface, with loyalty programs and Buy Online, Pick Up In Store (BOPIS) models becoming prime targets for fraudsters. Account takeovers, payment fraud, and chargebacks are significant concerns, with global e-commerce fraud losses projected to nearly double by 2029. Traditional security measures often increase user friction, negatively impacting customer experience and conversion rates. A more effective approach involves leveraging device-level intelligence to accurately identify and flag suspicious activity without disrupting legitimate users, thus optimizing fraud detection and reducing associated costs. This strategy can improve the efficiency of fraud teams and enhance customer retention by minimizing false positives and unnecessary security challenges.

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