ID Analytics Introduces ID Network Attributes

The ID Network is the nation's only real-time, cross-industry compilation of identity information. The network has 360 billion aggregated attributes such as names, addresses, and dates of birth, and an average daily flow of 45 million identity elements. With two million known frauds and eight million suspected frauds, the ID Network is the largest repository of reported identity frauds in the U.S.

Leveraging information within the ID Network, ID Analytics' solutions help organizations answer three key questions about prospects and customers: "Are you who you say you are?", "Should we engage in business with you?", and "How should we manage our ongoing relationship with you?"

All of the company's products leverage the ID Network to deliver reliable, high-resolution visibility into identity behavior across industries and over time, while maintaining strict privacy guidelines. ID Network Attributes deliver a more granular level of identity information consisting of derived variables from the ID Network. ID Analytics' variables are differentiated from those commonly available because they are based on data that is not publicly available. The underlying personal identity data within the ID Network is never sold nor distributed.

"The attributes we are making available today unleash the enormous power of the information ID Analytics maintains within the ID Network," said Bruce Hansen, chairman and chief executive officer for ID Analytics. "With the release of the ID Network Attributes, we have found a new way to enable our customers to gain more benefit from the information within the network while maintaining a keen respect for consumer privacy. Many of the attributes are key drivers of the predictive powers of our scores. Now organizations can leverage this predictive capability in their custom rules, score cards and models."

With the release of the attributes, ID Analytics is extending an entirely new level of visibility into the way consumers use their identity elements to gain credit and services. This visibility enables organizations to fine-tune their decision making processes. The attributes can be used to produce a detailed picture of an individual's identity characteristics while highlighting questionable patterns and risky elements.

ID Analytics today released the ID Network(R) Attributes for Fraud(TM) and ID Network(R) Attributes for Compliance(TM). ID Network Attributes for Fraud provide unique identity insight that can be leveraged to streamline manual verification processes and improve custom analytics. Examples of fraud attributes include:

• Combination of name and data of birth is associated with suspected or confirmed fraud
• Number of times Social Security number is submitted for scoring in the last three months
• Number of times a fraud is reported at an address in the last six months

ID Network Attributes for Compliance minimize operational costs and customer friction associated with compliance. The attributes are applicable across a broad spectrum of fraud and identity related-regulations such as the Red Flag, USA PATRIOT Act (including "Know Your Customer"), and the Bank Secrecy Act rules. In fact, all of the examples called out by the regulators as flags associated with suspicious personally identifiable information are addressed by the attributes.

These compliance attributes are also available as part of an integrated solution, ID Analytics for Compliance(TM), that includes ID Score(R) and Certain ID(TM). In this solution, ID Score automatically resolves triggered attributes for low-risk identities, and Certain ID provides a cost-effective, interactive authentication tool for resolving high-risk identities.

Later this year, ID Analytics will be releasing ID Network(R) Attributes for Verification(TM) and ID Network(R) Attributes for Credit(TM).

For more information about ID Analytics and its products, please visit http://www.idanalytics.com.