ValidiFI, Inc., a provider of alternative data and predictive analytics, has released findings from its latest Intelligence Report, offering organizations a broader view of consumer banking relationships and the behaviors that can reveal emerging fraud, payment, and credit risk.

“Risk rarely appears as a single event. More often, it develops through changes in account relationships, payment history and consumer behavior only reflected in recurring transactional analyses that traditional models may not capture,” said John Gordon.

Risk does not exist within a single transaction. It develops across banking relationships, payment behaviors, identity connections, and financial activity over time. An account that was previously verified or approved at onboarding may not present the same level of risk months later as financial circumstances, account usage patterns, and ownership relationships evolve. In that sense, the report reflects a broader shift in financial decisioning: organizations are increasingly looking beyond a presented account to the surrounding signals that help distinguish stable relationships from ones that may warrant closer review. ValidiFI said it connects these signals to help organizations identify payment and fraud risk earlier, strengthen account verification, reduce payment failures, and make more informed decisions while minimizing unnecessary friction.

ValidiFI’s analysis shows how behaviors that may appear individual in isolation can become meaningful indicators when viewed in context. Accounts associated with an email address first seen within the previous 30 days experienced payment failure rates that were five times higher and fraud rates that were six times higher. Accounts that failed ownership authentication showed nearly 11 times higher payment failure rates, while identities connected to five or more bank accounts were associated with 76% higher risk.

“Risk rarely appears as a single event. More often, it develops through changes in account relationships, payment history and consumer behavior only reflected in recurring transactional analyses that traditional models may not capture,” said John Gordon, CEO of ValidiFI. “Bringing those signals together helps organizations understand more than whether an account is valid. They provide insight into who is behind the account, the stability of the relationship, and how past and current behavior and financial pictures can tell us about future outcomes. That context helps businesses make smarter decisions, reducing friction for trusted consumers while applying additional scrutiny when risk indicators warrant it.”

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