Identity Theft Prevention Powered by Big Data and Credit Information

Background

Key Features Process Proven Real-World Performance

Identity Verification Is Not Enough For Identity Theft

Recent identity theft crimes unfold through a series of sophisticated steps: from stealing personal information to opening mobile accounts, bypassing authentication procedures, and ultimately executing loans. Victims often become involved in financial fraud without even realizing, while financial institutions are left to bear the resulting losses.

Improvements to authentication alone cannot prevent these types of crimes; they require a more technical, data-driven detection system. iDEFENDER is an information-based identity theft prevention solution that combines the industry's leading detection technology (FakeFinder) with authentication data from Korea's No. 1 credit rating agency.

Leading Technology Meets Leading Data

Financial app attempts transactions or loans

Scammers use stolen identities to try to execute transactions or loans on finance apps

Identify Suspect Devices

FakeFinder big data meets NICE credit information to identify and suspect identity theft-related devices

Goal

Proactive Protection for Identity Theft

Identity Theft Protection Procedure

Abnormal App Pattern

Suspicious Identity Query

Identity Theft Suspected

Proven Real-World Performance

13,697 suspect cases detected in just two months

Cases of identity theft have recently surged, and as a response the financial industry adopted iDEFENDER, enabling proactive threat response. Through its client institutions, iDEFENDER detected 13,697 suspected identity theft cases over just two months during November and December 2023, demonstrating its effectiveness.

Experience Everspin

Real-time protection for the web with ever-changing security code and AI-MTD

AI-MTD security modules for mobile threats

Detect malicious apps with AI based on 23M app data

Block malicious SMS before they reach users

Security Consulting

Precise diagnosis with our elite red-team.