Most enterprises collect more authoritative identity data and risk signals than they act on. They also lack clearly defined relationships between specific risk signals and specific identity fraud types. A device fingerprint that is effective against credential stuffing may be irrelevant for synthetic identity fraud. A phone number check that…
When we talk about cyber threat intelligence in 2026, the perimeter that matters most is identity. Intelligence enterprises need to defend against identity-based attacks looks different from the traditional threat feeds most security operations centers rely on.Â
Call center procedures designed for customer convenience can be exploited by attackers to circumvent MFA and other guardrails. Here's how identity-threat detection and risk mitigation secures the call center.
Document verification is a preventative control that mitigates account opening fraud. This guide will examine how it works, and explain how layered threat signals enhance document verification technologies.
In the United States, around 35 million phone numbers are recycled each year. This article explores how recycled numbers enable account takeovers, then shows how ID Dataweb’s new MobileMatch risk signals address this issue.
Even as enterprises have broadly adopted MFA for their workforces, attackers are finding ways around it. Protecting against threats to secure MFA enrollment, requires stronger identity verification and adaptive risk-based workflows.Â
Multiple studies now attribute “over 80 percent of all new-account fraud” to synthetic personas. Enterprise security teams need the technical power to weigh thousands of risk signals in real time to stop synthetic identities from onboarding.Â
In fraud prevention, robust machine identity is as critical as user identity – if you can’t trust what device is on the other end, you can’t fully trust the user.Â
Credential stuffing flourishes where reused passwords meet static login flows. Using ID Dataweb’s millions of risk signals, security teams close that gap without frustrating customers.
Businesses that rely on static fraud rules or isolated authentication checks risk account takeover attacks. Decision engines that leverage real-time risk signals allow organizations to battle new fraud tactics.