Abstract: A system that aggregates client data and cyber indicators to authenticate a client is provided. The system receives a request to access a financial account of the client, and retrieves a client profile. The client profile includes an aggregation of data into a plurality of data indicators. An optimal number of data indicators is determined based on an initial threshold inquiry regarding the request, with the optimal number of data indicators being determined based on a phone requesting the access to the financial account. A risk score is generated based on a weighting for each of the plurality of data indicators included within the optimal number, with the weighting representing a confidence in the accuracy of each of those data indicators. Access to predetermined actions by the client is granted based on the risk score.

Abstract: The invention relates to a method and system that aggregates client data and cyber indicators to authenticate a client. The system comprises: a computer server comprising at least one computer processor and coupled to the memory, programmed to: receive, via an electronic input, an authorization request from a requester for access to an account; identify a client identifier associated with the authorization request; using the client identifier, retrieve, from the memory, a client profile, wherein the client profile is based on an aggregation of client data, client device data, claims data and cyber data; generate a risk score based on the aggregated combination of the client data, client device data, claims data and cyber data to determine whether the requester is authenticated to access the account; and automatically apply an authentication determination to the authorization request.

Abstract: The invention relates to a method and system that aggregates client data and cyber indicators to authenticate a client. The system comprises: a computer server comprising at least one computer processor and coupled to the memory, programmed to: receive, via an electronic input, an authorization request from a requester for access to an account; identify a client identifier associated with the authorization request; using the client identifier, retrieve, from the memory, a client profile, wherein the client profile is based on an aggregation of client data, client device data, claims data and cyber data; generate a risk score based on the aggregated combination of the client data, client device data, claims data and cyber data to determine whether the requester is authenticated to access the account; and automatically apply an authentication determination to the authorization request.

Abstract: The invention relates to a method and system that aggregates client data and cyber indicators to authenticate a client. The system comprises: a computer server comprising at least one computer processor and coupled to the memory, programmed to: receive, via an electronic input, an authorization request from a requester for access to an account; identify a client identifier associated with the authorization request; using the client identifier, retrieve, from the memory, a client profile, wherein the client profile is based on an aggregation of client data, client device data, claims data and cyber data; generate a risk score based on the aggregated combination of the client data, client device data, claims data and cyber data to determine whether the requester is authenticated to access the account; and automatically apply an authentication determination to the authorization request.

Abstract: The invention relates to a method and system that aggregates client data and cyber indicators to authenticate a client. The system comprises: a computer server comprising at least one computer processor and coupled to the memory, programmed to: receive, via an electronic input, an authorization request from a requester for access to an account; identify a client identifier associated with the authorization request; using the client identifier, retrieve, from the memory, a client profile, wherein the client profile is based on an aggregation of client data, client device data, claims data and cyber data; generate a risk score based on the aggregated combination of the client data, client device data, claims data and cyber data to determine whether the requester is authenticated to access the account; and automatically apply an authentication determination to the authorization request.