Enterprise Call Center Procedures and Their Vulnerabilities to Identity‑Based Attacks
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.
The Complete Guide to Document Verification
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.
Recycled Phone Number Fraud & How Retired Lines Are Used in Account Takeovers
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.
How enterprises can secure MFA enrollment with identity verification and risk reduction workflows in 2025
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.
Synthetic identity fraud explained—and how a decision engine stops it
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.
The Machine Identity Problem in Counterfraud Operations
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.
How to secure yourself from credential stuffing account takeovers in 2025
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.
How policy & decision engines counter account takeover fraud
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.
