Fraud Risk Management Resources

Fraud Strategies for Peak Retails Days

Do fraudsters alter their techniques to maximize success on the biggest retail days of the year? As Black Friday and the busy retail season approaches, this webinar will shed new light on how fraudsters behave during these critical moments, and how that behavior shifts the calculus of fraud strategies seeking to balance business needs and risk. View Webinar

How is SSN Randomization Impacting Your Company?

While the Social Security Administration’s 2011 decision to randomize Social Security Number (SSN) issuance made the identifier less susceptible to fraudsters, it also caused a series of unintended consequences for organizations that rely on the number’s sequencing as a key part of identity-verification and fraud defense. View Webinar

I See Fraud Rings

In 2012, merchants lost an estimated $3.5 billion to online fraud (JP Morgan CyberSource Online Fraud Report, 2012) and the methods and channels used continue to become more diverse and sophisticated. In this webinar we explore how these fraudsters are operate based on original research from ID:A Labs. View Webinar

Best Practices in Account Takeover

This webinar identifies gaps in the use of traditional controls currently employed to prevent account takeover fraud and offers an alternative to access-focused solutions. View Webinar

Fraudsters Phone Home: How PII drives identity fraud strategies in the data breach era

In 2017 there were a record-high 1,579 data breaches, a 45% increase over 2016. Our new data study, Fraudsters Phone Home, examines how fraudsters can be revealed through patterns in the way changes are made to personally identifiable information. View

The Synthetic Epidemic: Understanding Identity Fraud after SSN Randomization

The problem of synthetic fraud isn’t new, however there has been a recent spike in synthetic identities that is more challenging to control. This paper explores the different types of synthetic identities and the emerging trends we are seeing post SSN Randomization. View

Online Privacy vs. Security

Are consumers who more freely share their personal information online at a higher risk for becoming a fraud victim? A new study from ID:A Labs confirms a correlation between online behavior and the likelihood of becoming a victim of identity fraud. View

Mitigating Application Fraud from Synthetic Identities

The latest study from Javelin explores the challenges that FIs and issuers face against a rising tide of application fraud and how the sharing of intelligence offers long-awaited hope in detecting the synthetic identities that make it possible. View

Fraud Mobility: Exploitation Patterns and Insights

One of the greatest challenges to fraud prevention and detection is understanding how a fraudster uses an identity and how quickly. This new report from ID:A Labs provides insight into fraud mobility by exploring the distinct patterns of fraud behavior associated with compromised identities. View

The Long Con: An Analysis of Synthetic Identities

This comprehensive study from ID:A Labs shows that the rate of synthetic identity fraud has increased more than 100 percent since 2010. This white paper the estimated size of the synthetic fraud issue, and possible solutions for reducing synthetic fraud. View

Best Practices in Account Takeover

This paper identifies gaps in the use of traditional controls currently employed to prevent account takeover fraud, and offers an alternative to access-focused solutions. View

I See Fraud Rings

According to a new study by ID Analytics’ ID:A Labs there are more than 10,000 identity fraud rings in the U.S. This study is the first to systematically find many thousands of identity fraud rings, by developing an algorithm capable of automating the process of examining the interconnections between identity fraudsters. View

Exploring-the-Impact-of-SSN-Randomization

While the Social Security Administration’s 2011 decision to randomize Social Security Number (SSN) issuance made the identifier less susceptible to fraudsters, it also caused a series of unintended consequences for organizations that rely on the number’s sequencing as a key part of identity-verification and fraud defense. View

Address Discrepancy Data Study

Minors’ identities are appealing targets for fraudsters because their personal data is untainted, legitimate, and less likely to be monitored for misuse. To provide greater insight into the scope of child identity fraud, ID Analytics conducted a study of more than 172,523 children enrolled in ID Analytics’ Consumer Notification Service. View

Child Identity Fraud Study

Minors’ identities are particularly appealing targets for fraudsters because their personal data is untainted, legitimate, less likely to be monitored for misuse, and few tools are available to protect children against attack. To provide greater insight into the scope of child identity fraud, ID Analytics conducted a study of more than 172,523 children enrolled in ID Analytics’ Consumer Notification Service at some point during the 12-month period. View

ID Score Overview

ID Score^® 9.5 is a strong, multi-layer fraud prevention technology that evaluates identity risk based on personal information (ex. SSN, name, address, email)  to produce a single, comprehensive assessment of application fraud risk.  With the Rescore feature, ID Score offers the ability to rescore applications seen the previous day and identify applications with a concerning rise in risk since the initial assessment. View

ID Score Synthetic

ID Score Synthetic answers, “Is this identity real?” – addressing identity legitimacy rather than targeting specific behaviors that only a portion of synthetic fraudsters may exhibit. View

ID Score Rescore

When a credit or service application is submitted, Rescore offers a second look at fraud risk 24 hours after the ID Score fraud assessment.  Additional screening within 24 hours can improve fraud detection by 10-15 percent.  View

ID Network Attributes for Fraud Overview

ID Network Attributes for Fraud provides a series of data points, selected by industry experts, which allows institutions to build powerful custom fraud detection solutions and processes. View

Online Lending Network Overview

ID Analytics formed the Online Lending Network (OLN) consortium to respond to emerging market threats, most notably loan stacking. The OLN is a subscription-based membership that provides members with access to exclusive risk products tailored to the unique fraud and credit issues facing online lenders. View

The Rising Tide of Synthetic Identities