Identity Verification (IDV) analyzes physical and digital transaction data to provide individual trust scores for each component of a consumer's identity.
The following table maps the fundamental identity components to their corresponding core input fields required for cross-reference evaluation:
|
Identity Component |
Required Input Fields for Component Evaluation |
|
Identity |
First Name, Last Name, Physical Address, Date of Birth (DOB), and Social Security Number (SSN) |
|
Phone |
10-digit United States phone number |
|
|
Request for Comments (RFC)-compliant email address |
|
Device |
Unique identifier generated via the active device profiling session |
Note
The explicit Trust components populated in the API response vary dynamically based on the input attributes provided in the payload and the specific rules engine configurations established during your organization's deployment.
To optimize accuracy and resolve trust indications efficiently, data verification payloads must be as complete as possible. Identity Verification runs sequential real-time data investigations across the Identity, Address, Phone, and Email blocks using these evaluations:
-
Verification: Asserts that the element is structurally valid, actively exists in data repositories, or both.
-
Affiliation: Evaluates and scores data link relationships established between distinct individual attributes.
-
Insights: Surfaced risk signals, transactional behaviors, or contextual histories tied directly to a specific transaction component.
The Identity Verification (IDV) scoring infrastructure offers an agile architecture designed to accommodate diverse business verification workflows. However, its primary design focus is deterministic identity verification. Your custom orchestration layout dictates how these granular attributes are utilized for internal automation flags.
Each transaction evaluation generates a high-level recommendation vector.
Note
This risk recommendation serves as an analytical component inside Policy Management and does not substitute for the final transaction decision logic.
|
Key |
Value |
Description Logic |
|
riskAssessment |
Approve |
Requires verified trust on both the Identity and Address components, in addition to successful validation on at least one complementary component, Social Security Number (SSN), Email, or Phone. Date of Birth (DOB) matching provides foundational identity verification but does not satisfy secondary asset requirements on its own. |
|
riskAssessment |
Deny |
Triggered if either the underlying Identity or Address data elements fail baseline validation, independent of secondary signal performance. Fraud prevention managers might proceed with processing "Deny" statuses depending on internal risk tolerance. |
|
riskAssessment |
Review |
Generated when basic validation criteria are met for either the Identity or Address attributes (or both), but no supporting contextual trust anchors (such as Phone or Email) can be successfully verified. |
The system natively checks data tables for deceased indicators. If an identity matches public death registers, the engine automatically defaults to a Deny outcome.
-
Pass (Approve):
Identity Trust = YANDAddress Trust = YAND (SSN Trust = YOREmail Trust = YORPhone Trust = Y) -
Deny: Automatic trigger if consumer is identified as deceased, or if core Personally Identifiable Information (PII) elements fail basic verification thresholds.
-
Review: Applies to all remaining data profiles that exhibit mixed or unconfirmed trust across core and secondary identity pillars.
Evaluating address data requires submitting complete name and location values. Providing the corresponding social security number (SSN) or date of birth (DOB) alongside the location object sharpens cross-network affiliation scoring. The primary data evaluation delivers a definitive boolean indicator (Y/N) influenced by the following operational response codes.
Date of Birth (DOB) evaluation requires inputting name and address attributes. Including the consumer's social security number (SSN) optimizes profile consolidation and verification reliability.
The system evaluates standalone email strings. Inclusion of the consumer's name parameters allows for cross-element affiliation verification. The engine incorporates domain governance classifications into its scoring calculations, treating authoritative corporate (@equifax.com) or government (.gov) records with higher base trust weights than disposable or standard consumer email domains.
Evaluating Identity attributes requires a baseline payload containing First Name, Last Name, and Address fields. Submitting the social security number (SSN) and date of birth (DOB) enhances multi-source verification. Identity components yield the highest baseline validation weight due to extensive asset corroboration. We recommend contextualizing the global identity trust score alongside individual secondary component parameters.
The system evaluates standalone 10-digit US phone numbers; appending name and address fields enables multi-source cross-referencing.