Leveraging predictor variables from more than 34 billion public records
from more than 2,000 sources and comprised of more than 400 million identities,
FraudPoint Score uses advanced modeling to assess inconsistencies and
fraud patterns in application profiles. FraudPoint
Score is a holistic examination into known fraudulent profiles using complete
identity data sets and high-powered analytics derived from predictive
attributes.
The sources include identity information from consumer reporting agency
sources; electronic directory assistance; utility records; local, state
and federal government records; and the LexisNexis customer network. Sources
are updated at varying intervals depending on source, including daily
updates.
FraudPoint Score predicts the likelihood that an application contains fraudulent or misrepresented information and will result in identity fraud if the account is opened. The Score presents results in a three-digit score ranging from 300 (highest fraud risk) to 999 (lowest fraud risk). Along with a numeric score, FraudPoint Score returns Warning Codes, which provide additional granular insight to pinpoint the high fraud-risk conditions that most contributed to the score. To further focus your efforts, Risk Indices are also returned, summarized as a 1-9 value, to provide powerful insight into the type of identity fraud that is being attempted.