Identification (ID) proofing to deter threat actors

1. A method for identity proofing a user entity to allow for a transaction request comprising:

in a resolution step, capturing registration information of the user entity and a user entity device at a relying party and after the registration information is received from the relying party at a risk engine, monitoring the user entity by the risk engine to collect contextual and behavioral data of the user entity during an active session;

in a first part of a validation step, determining by the risk engine whether the user entity is not a threat actor by reviewing a plurality of egocentric and allocentric factors of the user entity and the user entity device and if an abnormality is detected, notifying the relying party to terminate the active session;

in a second part of the validation step, reviewing by the risk engine evidence submitted by the user entity and comparing the evidence to a database to determine whether the user entity is genuine and whether the user entity is a claimed registered identity or a new identity, retrieving a bio-behavioral model of the user entity and updating the bio-behavioral model with the contextual and behavioral data of the user entity to form an updated bio-behavioral model and comparing the plurality of egocentric and allocentric factors of the transaction request with the update bio-behavioral model to determine the level of abnormalties associated with the transaction request and determine a risk score;

in the verification step, if the user entity is the claimed registered identity, the risk engine already has contact information for the user entity and contacts the user entity directly through a predetermined out of band notification and if the user entity is a new identity, obtaining the contact information for the user entity from at least one of a plurality of third party data sources and contacting the user entity to obtain a confirmation that the user entity is attempting to register with the relying party; and

sending from the risk engine to the relying party a risk score determining whether the user entity is a threat actor.

2. The method of claim 1 wherein the egocentric and allocentric factors include at least one of the following: whether the user entity lied about key parameters; whether there is a lack of a browser fingerprint detection from the user entity device; whether a software service on the user entity device is missing; whether the user entity device has a bad reputation; whether the user entity device is a rooted device; and whether the user entity device is blacklisted.

3. The method of claim 1 , wherein identity evidence provided by the user entity includes at least one of the group consisting of: an email address; a driver license; a national identity card; a passport; a digital identity; a knowledge based authentication (KBA); a third party social identity; a facial recognition; and fingerprint scans.

4. The method of claim 1 , further comprising:

sending a classification of the risk with the risk score to the relying party.

5. The method of claim 1 , wherein the plurality of third party sources are partners with the risk engine.

6. The method of claim 1 , wherein the egocentric and allocentric factors include at least one of the group consisting of:

a user entity device model, a user entity device hardware configuration, a user entity device operating system, a user entity device application, a user entity device web browser version, a service set identifier (SSID) of the network WiFi, network information, object classes transferred, screen size, font size, language, user entity habits, speed and style of user entity keyboard entry, mouse strokes of the user entity, screen touch of the user entity, adjacent companion mobile device proximity, walking gait of the user entity, trusted locations of the user entity, haptic-tactic factors derived from hardware sensors embedded inside the user entity device, specialized sensor data captured by the user entity device, ambient noise, temperature, discrete movement and location of the user entity device, exercise habits of the user entity, and user entity location.

7. A method for identity proofing a user entity to allow for a transaction request comprising:

in a resolution step, capturing registration information of the user entity at a relying party and monitoring the user entity by a risk engine during an active session;

in a first part of a validation step, determining by the risk engine whether the user entity is not a threat actor by reviewing a plurality of egocentric and allocentric factors of the user entity and a user entity device and if an abnormality is detected, notifying the relying party to terminate the active session;

in a second part of the validation step, reviewing by the risk engine evidence submitted by the user entity, retrieving a bio-behavioral model of the user entity and updating with the recent contextual and behavioral data of the user entity to form an updated bio-behavioral model of the user entity, comparing allocentric and egocentric factors of the transaction request with the updated bio-behavioral model of the user entity to determine the level of abnormalities associated with the transaction request and whether the user entity is a claimed registered identity or a new identity;

in the verification step, if the user entity is the claimed registered identity, the risk engine has contact information for the user entity and contacts the user entity directly through a predetermined out of band notification and if the user entity is the new identity, obtaining the contact information for the user entity from at least one of a plurality of third party data sources and contacting the user entity to obtain a confirmation that the user entity is attempting to register with the relying party; and

sending from the risk engine to the relying party a risk score determining whether the user entity is a threat actor.