System and method for continuous authentication of user entity identity using context and behavior for real-time modeling and anomaly detection
A system and method for secure authentication of user entity and user entity device identity. The system and method described herein allows an identity to be continuously proven because of user entity's behavior and their biometrics. With all the fraud and risk that exists today, if someone has a user entity's driver's license they can do a lot of harm. A primary identity provider passes user contextual and behavioral information to third party secondary identity providers to allow risk based continuous authentication and step up post-authorization authentication or termination of session as required upon detection of an anomaly.
1. A method for secure authentication of a user entity identity comprising:
a primary identity provider allows a user entity through a user entity device or a client device to enable a single sign on to a plurality of services;
the primary identity provider collects the contextual and behavioral information of the user entity device and the client device for access to at least one service of the plurality of services;
the primary identity provider delegates login and authentication process including a risk based multi-factor authentication to a third party identity provider;
the primary identity provider sends the contextual and behavioral information of the user entity device and client device to a third party identity provider;
the third party identity provider continuously checks the contextual and behavioral information of the user entity device and the client device to develop a contextual and behavioral model;
the third party identity provider uses the contextual and behavioral model for anomaly detection;
the third party identity provider conducts policy orchestration upon detection of the anomaly and takes a predetermined action per a predetermined policy.
2. The method of claim 1 , wherein the predetermined policy includes terminating the at least one service of the plurality of services.
3. The method of claim 1 , wherein the predetermined policy includes terminating an active session.
4. The method of claim 1 , wherein the primary identity provider and the third party identity provider are the same.
5. The method of claim 1 , wherein additional contextual data about a state of a service provider of the at least one service of the plurality of services is streamed via a smart data hub of the third party identity provider and makes a primary identity provider aware of the context of the service provider.
6. The method of claim 1 wherein the policy includes authentication step up wherein multifactor authentication is provided via security assertion markup language version 2 (SAML 2.0) or open identification connection authentication (OIDC).
7. The method of claim 1 , further comprising:
the third party identity provider monitors the user entity device and the client device during an active session to provide updates to the primary identity provider if an anomaly occurs during the active session.
8. The method of claim 1 , wherein the third party identity provider is operated by artificial intelligence.
9. The method of claim 1 , wherein the user entity device and client device contextual factors include at least one of the group of egocentric or allocentric factors consisting of:
a mobile device model, a mobile device hardware configuration, a mobile device operating system, mobile device applications, a mobile 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 keyboard entry, mouse strokes, screen touch, adjacent companion mobile device in proximity, biobehavioral data derived from the user entity, walking gait of the user entity, trusted locations of the user entity, haptic-tactic factors derived from hardware sensors embedded inside the device, specialized sensor data captured by the hardware, ambient noise, temperature, discrete movement and location of the mobile device, exercise habits of the user entity, user entity location, user entity driving, transactions on a mobile device user entity behavior analytics (UBA) services, identification authorization and proofing, secure data access, check-in and check out services, short message service (SMS), concierge services, promotions, and location based service (LBS) functions.
10. The method of claim 1 , further comprising:
the third party identity provider monitors the user entity device and the client device during an active session to provide updates to the primary identity provider if an anomaly occurs during the active session; and
the third party identity provider requests step up of authentication from the user entity.
11. The method of claim 1 , further comprising:
the third party identity provider monitors the user entity device and the client device during an active session to provide updates to the primary identity provider if an anomaly occurs during the active session; and
the third party identity provider terminates the active session associated with the user entity device or client device.