What is claimed is:
- A method of electronically evaluating a behavior of an employee to identify risk, the method comprising:receiving, by the processing device, first data from one or more legal databases, wherein the first data comprises information regarding legal activity relating to the employee;receiving, by the processing device, second data from one or more financial databases, wherein the second data comprises financial activity relating to the employee;receiving, by the processing device, third data relating to one or more activities electronically conducted by the employee on a network communicatively coupled to the processing device;receiving, by a processing device, fourth data from one or more social networking databases, wherein the fourth data comprises social networking activity conducted by the employee;aggregating, by the processing device, the first data, the second data, the third data, and the fourth data into an employee profile relating to the employee;determining, by the processing device, legally Protected Information regarding the employee from the employee profile;determining, by the processing device, one or more anomalies associated with the employee based on the employee profile and the legally Protected Information; andgenerating, by the processing device, an alert relating to the one or more anomalies, wherein the alert does not contain references to the legally Protected Information.
- The method of claim 1, further comprising: generating, by the processing device, a report comprising the alert, wherein the report does not contain references to the legally Protected Information such that an action taken in response to the report does not use the legally Protected Information.
- The method of claim 1, wherein determining the one or more anomalies comprises: weighting, by the processing device, the first data, the second data, the third data, and the fourth data according to one or more factors associated with the employee, wherein the one or more factors are selected from a job category of the employee, a responsibilities category of the employee, a prior history of the employee, a performance review of the employee, a ranking of the employee, a written complaint regarding the employee, and an award received by the employee to obtain weighted data; and determining, by the processing device, the one or more anomalies based on the weighted data.
- The method of claim 1, further comprising: determining, by the processing device, that the employee poses a risk to an organization that the employee is associated with based on the one or more anomalies; and generating, by the processing device, a risk assessment relating to the risk.
- The method of claim 4, further comprising: generating, by the processing device, one or more instructions for responding to the alert based on the risk assessment; and transmitting, by the processing device, the alert and the one or more instructions to one or more designated computers.
- The method of claim 1, further comprising: generating, by the processing device, a behavior model for the employee, wherein the behavior model comprises information from at least one of the first data, the second data, the third data, and the fourth data.
- The method of claim 6, wherein generating the behavior model comprises analyzing information relating to at least one of a property owned by the employee, information regarding utilities used by the employee, information regarding travel completed by the employee, information regarding a club membership held by the employee, information regarding a group membership held by the employee, information regarding a subscription held by the employee, information regarding a previous employment of the employee, information regarding a publication made by the employee, information regarding a license held by the employee, and information regarding a registration held by the employee.
- The method of claim 1, wherein receiving the first data comprises receiving the first data via a live feed from at least one of a law enforcement agency database, a judicial database, a regulated public records database, and a regulated public information database.
- The method of claim 1, wherein receiving the second data comprises receiving the second data from at least one of a credit reporting database, a bankruptcy database, a real property record database, a consumer reporting agency database, and a financial institution database.
- The method of claim 1, further comprising, prior to receiving the first data: determining, by the processing device, that the employee has provided consent to receiving the first data, the second data, the third data, and the fourth data.
- A system of electronically evaluating a behavior of an employee to identify risk, the system comprising: a processing device; and a non-transitory, processor-readable storage medium, the non-transitory, processor-readable storage medium comprising one or more programming instructions that, when executed, cause the processing device to: receive first data from one or more legal databases, wherein the first data comprises information regarding legal activity relating to the employee, receive second data from one or more financial databases, wherein the second data comprises financial activity relating to the employee, receive third data relating to one or more activities electronically conducted by the employee on a network communicatively coupled to the processing device, receive fourth data from one or more social networking databases, wherein the fourth data comprises social networking activity conducted by the employee, aggregate the first data, the second data, the third data, and the fourth data into an employee profile relating to the employee, determine legally Protected Information regarding the employee from the employee profile, determine one or more anomalies associated with the employee based on the employee profile and the legally Protected Information, and generate an alert relating to the one or more anomalies, wherein the alert does not contain references to the legally Protected Information.
- The system of claim 11, wherein the non-transitory, processor-readable storage medium further comprises one or more programming instructions that, when executed, cause the processing device to: generate a report comprising the alert, wherein the report does not contain references to the legally Protected Information such that an action taken in response to the report does not use the legally Protected Information.
- The system of claim 11, wherein the one or more programming instructions that, when executed, cause the processing device to determine the one or more anomalies further cause the processing device to: weight the first data, the second data, the third data, and the fourth data according to one or more factors associated with the employee, wherein the one or more factors are selected from a job category of the employee, a responsibilities category of the employee, a prior history of the employee, a performance review of the employee, a ranking of the employee, a written complaint regarding the employee, and an award received by the employee to obtain weighted data; and determine the one or more anomalies based on the weighted data.
- The system of claim 11, wherein the non-transitory, processor-readable storage medium further comprises one or more programming instructions that, when executed, cause the processing device to: determine that the employee poses a risk to an organization that the employee is associated with based on the one or more anomalies; generate a risk assessment relating to the risk; generate one or more instructions for responding to the alert based on the risk assessment; and transmit the alert and the one or more instructions to one or more designated computers.
- The system of claim 11, wherein the non-transitory, processor-readable storage medium further comprises one or more programming instructions that, when executed, cause the processing device to: analyze information from at least one of the first data, the second data, the third data, and the fourth data relating to at least one of a property owned by the employee, information regarding utilities used by the employee, information regarding travel completed by the employee, information regarding a club membership held by the employee, information regarding a group membership held by the employee, information regarding a subscription held by the employee, information regarding a previous employment of the employee, information regarding a publication made by the employee, information regarding a license held by the employee, and information regarding a registration held by the employee to obtain an analysis; and generate a behavior model based on the analysis.
- The system of claim 11, wherein the one or more programming instructions that, when executed, cause the processing device to receive the first data further cause the processing device to receive the first data via a live feed from at least one of a law enforcement agency database, a judicial database, a regulated public records database, and a regulated public information database.
- The system of claim 11, wherein the one or more programming instructions that, when executed, cause the processing device to receive the second data further cause the processing device to receive the second data from at least one of a credit reporting database, a bankruptcy database, a real property database, a consumer reporting agency database, and a financial institution database.
- The system of claim 11, wherein the non-transitory, processor-readable storage medium further comprises one or more programming instructions that, when executed, cause the processing device to: prior to receiving the first data, determine that the employee has provided consent to receiving the first data, the second data, the third data, and the fourth data.
- A computer machine for electronically evaluating a behavior of an employee to identify risk, the computer machine system comprising: a first hardware component that receives first data from one or more legal databases, second data from one or more financial databases, third data from a network communicatively coupled to the first hardware component, and fourth data from one or more social networking databases, wherein: the first data comprises information regarding legal activity relating to the employee, the second data comprises financial activity relating to the employee, the third data relates to one or more activities electronically conducted by the employee on the network; and the fourth data comprises social networking activity conducted by the employee, a second hardware component that aggregates the first data, the second data, the third data, and the fourth data into an employee profile relating to the employee; a third hardware component that determines legally Protected Information regarding the employee from the employee profile and determines one or more anomalies associated with the employee based on the employee profile and the legally Protected Information; and a fourth hardware component that generates an alert relating to the one or more anomalies, wherein the alert does not contain references to the legally Protected Information.
- The computer machine of claim 19, wherein the fourth hardware component further generates a report comprising the alert, wherein the report does not contain references to the legally Protected Information such that an action taken in response to the report does not use the legally Protected Information.
