RESOURCES
Practical guidance on emerging abuse, useful risk signals, and choosing fraud prevention solutions for your business.
A rise in registrations does not always mean a rise in real customers. Learn how to examine account creation patterns, shared signals, and downstream behavior to investigate automated and fake signups.
Read articleDisposable-email detection helps identify temporary addresses at registration. Understand the difference between deliverability, classification, and fraud-risk assessment—and how to build a proportionate policy.
Read articleSMS verification can become a source of unexpected costs when attackers repeatedly trigger messages for financial gain. Learn the warning signs, layered controls, and monitoring approach to investigate and reduce exposure.
Read articleA line-type lookup tells you something about a phone number—not whether the person using it is legitimate. Learn what phone classification can and cannot do, and how to build a proportionate screening workflow.
Read articleExplore solution →A residential-looking IP address does not establish a legitimate user. Learn what residential proxy detection can and cannot tell you, how it fits with device and account signals, and what to ask providers.
Read articleExplore solution →Deliverability, disposable classification and fraud-risk assessment are separate questions. Understanding what each email check can and cannot tell you helps you build a proportionate screening workflow.
Read articleExplore solution →Automated submissions, fabricated contact details and incentivized leads inflate pipeline and waste sales time. Learn how to assess lead quality using email, phone, IP, device and source signals.
Read articleRepeated identifiers, account velocity, and shared infrastructure are observable patterns in multi-accounting abuse. Learn how to evaluate the signals and distinguish legitimate multiple accounts from abuse.
Read articleComparing fraud prevention providers requires more than a feature checklist. Learn how to evaluate fit, coverage, integration effort, testing methodology, pricing structure, and commercial terms before committing.
Read articleIdentity Flow Data helps teams understand fraud techniques, evaluate relevant signals, and compare solutions suited to their business.
