Abstract: A computer implemented method including generating, by one or more processors, an activation request, receiving, from a user device, an activation confirmation, configuring a protection account specific to the user, where configuring the protection account comprises, identifying one or more of the user's social network accounts, authenticating one or more of the user's social network accounts, and generating a protection portal for the user, providing a link to the protection portal to the user, and providing one or more alerts to the user on the protection portal, wherein the one or more alerts identify security risks associated with one or more of the user's social network accounts.

Abstract: A computer-implemented method includes receiving a risk threshold from a protected social entity, and scanning data that is maintained across multiple social networks, where scanning includes identifying data that is associated with the protected social entity. One or more characteristics of the identified data is determined, and based on the one or more characteristics of the data identified across the multiple social networks, a risk to the protected social entity is determined. A request to a social network for the removal of the data associated with the risk is submitted.

Abstract: A computer-implemented method includes receiving a request to remove data that is associated with a protected social entity. The data maintained on one or more social networks is scanned, where scanning includes identifying data that is associated with one or more social entities. One or more characteristics of the identified data are determined, and a reference to the identified data that indicates the characteristic, is generated for each of the one or more characteristics. A match between the one or more generated references and one or more stored references is identified, where the one or more stored references each reference one or more characteristics associated with the protected social entity, and where the one or more stored references are stored in one or more social risk databases. A request to the one or more social networks to remove the identified data associated with the one or more generated references is submitted.

Abstract: A computer-implemented method includes security settings data associated with one or more profiles of a protected social entity on one or more social networks is scanned, and the security settings data associated with the one or more profiles of the protected social entity is assessed. A first security risk score for the protected social entity is determined based on the assessment of the security settings data, and the first security risk score is provided to the protected social entity.

Abstract: A computer-implemented method includes generating, by one or more processors, a hyperlink targeting a Uniform Resource Locator (URL), detecting a selection of the generated hyperlink by one or more social entities across one or more social networks, generating a report, wherein the generated report includes analytical details regarding the selection of the generated hyperlink by the one or more social entities, and providing the generated report to a user associated with a protected social entity.

Abstract: A computer-implemented method includes security settings data associated with one or more profiles of a protected social entity on one or more social networks is scanned, and the security settings data associated with the one or more profiles of the protected social entity is assessed. A first security risk score for the protected social entity is determined based on the assessment of the security settings data, and the first security risk score is provided to the protected social entity.

Abstract: A computer-implemented method includes security settings data associated with one or more profiles of a protected social entity on one or more social networks is scanned, and the security settings data associated with the one or more profiles of the protected social entity is assessed. A first security risk score for the protected social entity is determined based on the assessment of the security settings data, and the first security risk score is provided to the protected social entity.

Abstract: A method includes identifying data on a social network that is associated with a suspect social entity, and determining one or more characteristics of the identified data. A reference to the identified data is generated for each of the one or more characteristics. One or more of the generated references are compared to one or more stored references, where the one or more stored references are associated with a protected social entity. A profile score for the suspect social entity is determined based on the comparison. Determining the profile score includes identifying a match between one or more of the generated references and one or more of the stored references.

Abstract: A computer-implemented method includes receiving a risk threshold from a protected social entity, and scanning data that is maintained across multiple social networks, where scanning includes identifying data that is associated with the protected social entity. One or more characteristics of the identified data is determined, and based on the one or more characteristics of the data identified across the multiple social networks, a risk to the protected social entity is determined. A request to a social network for the removal of the data associated with the risk is submitted.

Abstract: A computer-implemented method includes receiving a request to remove data that is associated with a protected social entity. The data maintained on one or more social networks is scanned, where scanning includes identifying data that is associated with one or more social entities. One or more characteristics of the identified data are determined, and a reference to the identified data that indicates the characteristic, is generated for each of the one or more characteristics. A match between the one or more generated references and one or more stored references is identified, where the one or more stored references each reference one or more characteristics associated with the protected social entity, and where the one or more stored references are stored in one or more social risk databases. A request to the one or more social networks to remove the identified data associated with the one or more generated references is submitted.

Abstract: A method includes identifying data on a social network that is associated with a social entity, and determining one or more characteristics of the identified data. A reference to the identified data is generated for each of the one or more characteristic and the one or more references to the identified data is stored in one or more databases that are accessible to a security analysis engine.

Abstract: A method includes identifying data on a social network that is associated with a social entity, and determining one or more characteristics of the identified data. A reference to the identified data is generated for each of the one or more characteristics. Each generated reference is compared to one or more known references, and a risk score for a social entity is determined based on each of the comparisons. A confidence score for the risk score is determined.

Abstract: A method includes a protected social entity is determined based on one or more user inputs, and data on one or more social networks that is related to the protected social entity is monitored. A risk to the protected social entity is determined based on monitoring the data on the one or more social networks that is related to the protected social entity. The risk management data is provided to a user.

Abstract: A method includes identifying data on a social network that is associated with a social entity, and determining one or more characteristics of the identified data. A reference to the identified data is generated for each of the one or more characteristics. Each generated reference is compared to one or more known references, and a risk score for a social entity is determined based on each of the comparisons. A confidence score for the risk score is determined.

Abstract: A method includes identifying data on a social network that is associated with a suspect social entity, and determining one or more characteristics of the identified data. A reference to the identified data is generated for each of the one or more characteristics. One or more of the generated references are compared to one or more stored references, where the one or more stored references are associated with a protected social entity. A profile score for the suspect social entity is determined based on the comparison. Determining the profile score includes identifying a match between one or more of the generated references and one or more of the stored references.