Most people understand identity theft as an attacker stealing a real person's sensitive information and impersonating them. Synthetic identity fraud is much harder to catch. Instead of stealing a real identity, the attacker manufactures a new one, frankensteining together several real data points with fabricated ones to create a person who doesn't exist. Since no real victim monitors misuse, a

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Fraud performance is often judged only by chargeback rate, but this misses hidden losses from false positives, manual reviews, account takeovers, and brand damage. IPQS argues that teams should measure fraud through broader metrics like good customer approval rate, abuse volumes, and operational impact to better support growth and trust. #IPQS #AlexanderHall #AccountTakeovers #SyntheticIdentityFraud