White Papers
Below are summaries of studies based on a statistical analysis of ID Analytics' proprietary ID Network®. This research allows an expanded, quantitative understanding of the nature of identity risk, and forms the underpinnings for better quantitative and qualitative endeavors. In turn, ID Network Members have profound insight into the methods of fraudsters and an accurate view of identity risk within their own organizations.
ID Analytics White Papers
Address Discrepancy Data Study: Address Mismatch and Change of Address, 2009Obtaining a Unique Perspective on Credit Risk with Identity Information, 2009
On-Demand Identity Intelligence, 2008
Complying with the “Red Flag Rules” and “FACT Act Address Discrepancy Rules”, 2008
Analysis of Internal Data Theft, 2008
Online Interactions Data Study, 2008
Data Breach Harm Analysis, 2007
U.S. Identity Fraud Hot Spots, 2007
U.S. Identity Fraud Rates by Geography, 2007
National Data Breach Analysis, 2006
U.S. National Fraud Ring Analysis, 2005
For a copy of any white paper or for more information, please email a request with the white paper's title to marketinginfo@idanalytics.com.
Address Discrepancy Data Study: Address Mismatch and Change of Address, 2009
Organizations across a wide array of industries struggle to effectively identify fraudulent address changes and new Federal regulations are placing more stringent responsibilities on creditors to resolve address discrepancies. After finding that conventional variables such as comparative area income levels and distance moved, have limited predictive value, ID Analytics investigated an alternative approach. This white paper teaches you how to distinguish legitimate consumer address changes from fraud and account take-over. The study also identifies the strengths and weaknesses of characteristics that can help predict address change risk. The study concludes with an evaluation of how identity risk scoring is effective in resolving address discrepancies throughout the account lifecycle. These new findings will help organizations reduce fraud losses and customer abandonment and save money on operational expenses associated with the investigation and confirmation of address change requests.
To request a copy of the white paper, click here.
Obtaining a Unique Perspective on Credit Risk with Identity Information
In today's economic environment, companies face unprecedented pressure to refine their assessments of consumer credit risk. A new dimension of insight into consumer creditworthiness is required. This new dimension is consumer "stability" based on an analysis of a consumer's use of their identity elements such as name, address, Social Security number, phone number and date of birth. Organizations can draw more accurate conclusions about the creditworthiness of individuals by including stability. Using the stability of identity elements to fine-tune credit decisioning is identity intelligence. This paper discusses how identity intelligence is a fundamental building block in understanding a consumer's creditworthiness and how ID Analytics® Credit Optics™ delivers a new perspective on credit risk for how an organization can use a supplemental score to lower credit losses, book more accounts without introducing incremental risk and identify desirable customers in risky market segments.
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On-Demand Identity Intelligence
Businesses and consumers are facing an entirely new genre of risks in large part because so many transactions are now both real-time and impersonal. The reliance on consumer identity information to enable 'customer not present' transactions has put the consumer's need to protect their identity at odds with a business's need to make instantaneous, yet sound decisions. A new generation of identity intelligence solutions from ID Analytics helps organizations meet the challenges of accurately assessing transaction risk in a real-time virtual world, while at the same time maintaining data security and privacy.
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Complying with the “Red Flag Rules” and “FACT Act Address Discrepancy Rules”
The Red Flag Rules became effective on January 1, 2008; organizations must comply with the rules by November 1, 2008. The rules seek to protect lenders and consumers from the detrimental impact of identity fraud. Affected creditors are now required to design and implement procedures for detecting and preventing identity fraud at the point of account origination as well as during management of existing accounts. This paper articulates how ID Analytics for Compliance™ assists in satisfying these regulatory requirements.
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Analysis of Internal Data Theft
The study was performed using identity data provided by breached organizations spanning the government, education, and commercial sectors. The objective of the study was to better understand the behavior associated with stolen identities and to assess the level of risk associated with internal data theft. This research answers the following questions: How does internal data theft compare to external data theft? Where does fraud take place after employees steal data? Is internal data theft more harmful than an external data theft? Through what channel does fraud initiate? Credit cards? Cell phones?
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Online Interactions Data Study
ID Analytics partnered with top-tier financial institutions and eMerchants to study the effectiveness of adding online identity elements to the ID Network®, the nation's first and only real-time, cross-industry compilation of identity information. The study involved an evaluation of more than 12 million records including financial applications and retail purchases performed online. This white paper demonstrates the power of gaining greater insight of identity risk by combining personal identity elements with online identity elements such as Internet protocol (IP) addresses, device fingerprint, email address, and IP geo-location data. The study resulted in a fraud detection improvement of more than 27 percent over the analysis using only personal identity information.
To request a copy of the white paper, click here.
Data Breach Harm Analysis
This new research further investigates the organized misuse arising from data breaches and identifies patterns and behaviors underlying the misuse. For this study, ID Analytics evaluated over a dozen identity-level breaches involving more than 10 million consumer identities. The study identified six common patterns that characterize organized misuse. The highest rates of organized misuse were found in smaller breaches.
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U.S. Identity Fraud Hot Spots
This white paper describes research examining the most up-to-date information on how U.S. identity fraud rates vary by geography. It supplements the February 2007 report titled "U.S. Identity Fraud Rates by Geography," which analyzed credit applications submitted from 2003 through early 2006. The data in this report is from January through December 2006. This study’s findings provide unique visibility into which specific locations within the United States are emerging as identity fraud "hot spots," or cities and counties where identity fraud criminals appear to be increasingly active. At the same time, it shows which areas have a decreasing or consistent rate of identity fraud.
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U.S. Identity Fraud Rates by Geography
This white paper is the first ever study to be based on actual and attempted fraud rather than on consumer victim reports. The research examines how U.S. identity fraud rates vary by geography and over time based on a statistical analysis of ID Analytics' proprietary ID Network® encompassing complete coverage of all U.S. identities. The information resulting from this research allows a better quantitative understanding of the nature of identity fraud, and leverages prior ID Analytics research into true-name identity theft and synthetic identity fraud.
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National Data Breach Analysis
ID Analytics conducted an in-depth analysis of four major data breaches using actual, live data to study the real impact that data breaches have on consumers and industry and revealed that some data breaches actually pose greater threats than others. In fact, the analysis shows that most consumer victims are no more at risk of identity fraud than they would have experienced if the breach had not occurred. This analysis helps to answer some of the most pressing questions about recent system intrusions, security lapses and the issue of identity theft and identity fraud.
To request a copy of the white paper, click here.
U.S. National Fraud Ring Analysis
ID Analytics' U.S. National Fraud Ring Analysis is a first-of-its-kind look into the dynamic and perplexing crime of identity fraud and provides a cross-organizational, national view into the behavioral patterns of sophisticated fraudsters and their fraud rings. The white paper describes analysis of fraudster behavior by using the ID Network and its advanced pattern recognition technology, and reveals insights into such things as the business cost differences between synthetic identity fraud and true-name identity theft, the relative effectiveness of public record databases vs. more advanced data collections to reveal synthetic fraud, and the identity patterns that reflect fraudsters' methods, tactics and relationships.
To request a copy of the white paper, click here.