Synthetic Identity Check

Based upon provided contact information, you can understand how the information you have provided matches (or does not match) against the Fideo Identity Graph. In addition to the match characteristics there is an associated risk score, which is a proxy for friction that may need to be applied downstream. This directly translates to detecting Identity Theft, Synthetic Identity, and Account Takeover uses cases.

All this combined, helps you identify risk on a form field, sign up, onboarding process or application.

The direct output of the provided information (at the contact element level) could potentially represent any of the following categories:

Match Type	Description
Tangled string	Matches an input belonging to a different individual (no relationship). This is typically an indication of increased fraud risk; further downstream friction may need to be applied specific to that identifier.
Household string	Matches an input field belonging to someone else inside the same household (spouse, young adult, etc). This is typically not an indication of fraud risk, however some friction may need to be applied.
Self string	Matches an input field directly belonging and pointing to the most likely person requested. All outputs with ‘self’ must share metadata within our graph as this is the anchor in which all other fields are classified.
Unknown string	We don't enough information on this identifier relating to how it connects to the rest of the submitted identifiers. This may or may not be an indication of fraud risk; further downstream friction may need to be applied.
Risk double	Indicates the level of risk associated with the given inputs. This current risk score is based upon deterministic email related activity such as, first/last seen timestamps, number of sources and observations along with whether or not an observed linkage to a first party cookie exists. If the risk score is closer to 1.0, then the individual and associated inputs are deemed to be more risky.