Abstract: Systems and methods for analyzing applications (“apps”) on a mobile device for security risks for a company while maintaining the mobile device owner's privacy and confidentiality concerning the applications. The mobile device may be a user's personal device (a “bring your own device”). In an example method, a process generates one or more cryptographic representations of application information for each application on the mobile device. The cryptographic representations may comprise a hash or composite hash. The cryptographic representations may be transmit outside the mobile device to a system which makes a determination and provides an indication whether the application is permitted or not permitted for use at the company. The company can be associated with a hashed permitted or not permitted list. The application information can include application name, executable code, and a version number. The method may include automatically remediating the application if it matches a known risk.

Abstract: Systems and methods of forensic analysis of cryptocurrency transactions are described herein. A method can include obtaining fiat-based transaction data from a bank account, identifying a purchase of a cryptocurrency from fiat-based transaction data and cryptocurrency exchange trade history data from a cryptocurrency exchange where the cryptocurrency was purchased, obtaining cryptocurrency-based transaction data that identifies downstream cryptocurrency transaction data where the cryptocurrency was transferred out of the cryptocurrency exchange; and scoring a user who purchased or used the cryptocurrency based on the fiat-based transaction data, the cryptocurrency exchange trade history data, and the cryptocurrency-based transaction data.

Abstract: Application security analysis including systems and methods for analyzing applications for risk is provided. In an example method, the applications reside on a mobile device configurable to access an enterprise system. The example method includes evaluating each of a plurality of applications variously for privacy, data leakage, and malicious behavior. The example method also includes calculating a risk score for each of the plurality of applications based on the evaluating; and automatically remediating (e.g., quarantining) the applications, of the plurality of applications, for which the risk score meets or exceeds a risk score threshold. The method may evaluate all of the applications residing on a mobile device. The method may include grouping application behaviors, for each of the applications, that indicate an increased risk into groups comprising two or more of privacy risk, a data leakage risk, an account takeover risk, a device takeover risk, and a malware risk.

Abstract: Systems and methods for analyzing applications (“apps”) on a mobile device for security risks for a company while maintaining the mobile device owner's privacy and confidentiality concerning the applications. The mobile device may be a user's personal device (a “bring your own device”). In an example method, a process generates one or more cryptographic representations of application information for each application on the mobile device. The cryptographic representations may comprise a hash or composite hash. The cryptographic representations may be transmit outside the mobile device to a system which makes a determination and provides an indication whether the application is permitted or not permitted for use at the company. The company can be associated with a hashed permitted or not permitted list. The application information can include application name, executable code, and a version number. The method may include automatically remediating the application if it matches a known risk.

Abstract: Systems and methods for analyzing applications (“apps”) on a mobile device for security risks for a company while maintaining the mobile device owner's privacy and confidentiality concerning the applications. The mobile device may be a user's personal device (a “bring your own device”). In an example method, a process generates one or more cryptographic representations of application information for each application on the mobile device. The cryptographic representations may comprise a hash or composite hash. The cryptographic representations may be transmit outside the mobile device to a system which makes a determination and provides an indication whether the application is permitted or not permitted for use at the company. The company can be associated with a hashed permitted or not permitted list. The application information can include application name, executable code, and a version number. The method may include automatically remediating the application if it matches a known risk.

Abstract: Application security analysis including systems and methods for analyzing applications for risk is provided. In an example method, the applications reside on a mobile device configurable to access an enterprise system. The example method includes evaluating each of a plurality of applications variously for privacy, data leakage, and malicious behavior. The example method also includes calculating a risk score for each of the plurality of applications based on the evaluating; and automatically remediating (e.g., quarantining) the applications, of the plurality of applications, for which the risk score meets or exceeds a risk score threshold. The method may evaluate all of the applications residing on a mobile device. The method may include grouping application behaviors, for each of the applications, that indicate an increased risk into groups comprising two or more of privacy risk, a data leakage risk, an account takeover risk, a device takeover risk, and a malware risk.

Abstract: Application security analysis including systems and methods for analyzing applications for risk is provided. In an example method, the applications reside on a mobile device configurable to access an enterprise system. The example method includes evaluating each of a plurality of applications variously for privacy, data leakage, and malicious behavior. The example method also includes calculating a risk score for each of the plurality of applications based on the evaluating; and automatically remediating (e.g., quarantining) the applications, of the plurality of applications, for which the risk score meets or exceeds a risk score threshold. The method may evaluate all of the applications residing on a mobile device. The method may include grouping application behaviors, for each of the applications, that indicate an increased risk into groups comprising two or more of privacy risk, a data leakage risk, an account takeover risk, a device takeover risk, and a malware risk.

Abstract: Systems and methods for analyzing applications (“apps”) on a mobile device for security risks for a company while maintaining the mobile device owner's privacy and confidentiality concerning the applications. The mobile device may be a user's personal device (a “bring your own device”). In an example method, a process generates one or more cryptographic representations of application information for each application on the mobile device. The cryptographic representations may comprise a hash or composite hash. The cryptographic representations may be transmit outside the mobile device to a system which makes a determination and provides an indication whether the application is permitted or not permitted for use at the company. The company can be associated with a hashed permitted or not permitted list. The application information can include application name, executable code, and a version number. The method may include automatically remediating the application if it matches a known risk.

Abstract: Systems and methods for analyzing applications (“apps”) on a mobile device for security risks for a company while maintaining the mobile device owner's privacy and confidentiality concerning the applications. The mobile device may be a user's personal device (a “bring your own device”). In an example method, a process generates one or more cryptographic representations of application information for each application on the mobile device. The cryptographic representations may comprise a hash or composite hash. The cryptographic representations may be transmit outside the mobile device to a system which makes a determination and provides an indication whether the application is permitted or not permitted for use at the company. The company can be associated with a hashed permitted or not permitted list. The application information can include application name, executable code, and a version number. The method may include automatically remediating the application if it matches a known risk.

Abstract: Systems and methods for analyzing applications (“apps”) on a mobile device for security risks for a company while maintaining the mobile device owner's privacy and confidentiality concerning the applications. The mobile device may be a user's personal device (a “bring your own device”). In an example method, a process generates one or more cryptographic representations of application information for each application on the mobile device. The cryptographic representations may comprise a hash or composite hash. Thee cryptographic representations may be transmit outside the mobile device to a system which makes a determination and provides an indication whether the application is permitted or not permitted for use at the company. The company can be associated with a hashed permitted or not permitted list. The application information can include application name, executable code, and a version number. The method may include automatically remediating the application if it matches a known risk.

Abstract: Systems and methods for analyzing applications on a mobile device for risk so as to maintain the privacy of the application user are provided. In the example method, the process receives a request from a mobile device. The request includes a cryptographic representation of application information for an application residing on a mobile device. The method includes comparing the cryptographic representation to an application information database that includes cryptographic representations of applications. The method also includes automatically remediating, e.g., quarantining and retiring, the application if the application matches an application that is a known risk in the database. Exemplary embodiments provide companies with controls to prevent specific applications—which have specific behaviors and are present on mobile devices being used by employees—from being used by employees, without the company having any visibility into what particular applications are being used by the employees on the mobile device.

Abstract: Application security analysis including systems and methods for analyzing applications for risk is provided. In an example method, the applications reside on a mobile device configurable to access an enterprise system. The example method includes evaluating each of a plurality of applications variously for privacy, data leakage, and malicious behavior. The example method also includes calculating a risk score for each of the plurality of applications based on the evaluating; and automatically remediating (e.g., quarantining) the applications, of the plurality of applications, for which the risk score meets or exceeds a risk score threshold. The method may evaluate all of the applications residing on a mobile device. The method may include grouping application behaviors, for each of the applications, that indicate an increased risk into groups comprising two or more of privacy risk, a data leakage risk, an account takeover risk, a device takeover risk, and a malware risk.

Abstract: Systems and methods for analyzing applications for risk are provided. In an example method, the applications reside on a mobile device that is configurable to access an enterprise system. The example method includes evaluating each of a plurality of applications variously for privacy, data leakage, and malicious behavior. The example method also includes calculating a risk score for each of the plurality of applications based on the evaluating; and automatically remediating (e.g., quarantining) the applications, of the plurality of applications, for which the risk score meets or exceeds a risk score threshold. The method may evaluate all of the applications residing on a mobile device. The method may include grouping application behaviors, for each of the applications, that indicate an increased risk into groups comprising two or more of privacy risk, a data leakage risk, an account takeover risk, a device takeover risk, and a malware risk.

Abstract: Systems and methods for analyzing applications for risk are provided. In the example method, the applications reside on a mobile device that is configurable to access an enterprise system. The example method includes evaluating each of a plurality of applications variously for privacy, data leakage, and malicious behavior. The example method also includes calculating a risk score for each of the plurality of applications based on the evaluating; and automatically remediating (e.g., quarantining) the applications, of the plurality of applications, for which the risk score meets or exceeds a risk score threshold. The method may evaluate all of the applications residing on a mobile device. The method may include grouping application behaviors, for each of the applications, that indicate an increased risk into groups comprising two or more of privacy risk, a data leakage risk, an account takeover risk, a device takeover risk, and a malware risk.

Abstract: Systems and methods for analyzing applications for risk are provided. In the example method, the applications reside on a mobile device that is configurable to access an enterprise system. The example method includes evaluating each of a plurality of applications variously for privacy, data leakage, and malicious behavior. The example method also includes calculating a risk score for each of the plurality of applications based on the evaluating; and automatically remediating (e.g., quarantining) the applications, of the plurality of applications, for which the risk score meets or exceeds a risk score threshold. The method may evaluate all of the applications residing on a mobile device. The method may include grouping application behaviors, for each of the applications, that indicate an increased risk into groups comprising various combinations of a privacy risk, a data leakage risk, an account takeover risk, a device takeover risk, and a malware risk.

Abstract: Systems and methods for analyzing applications on a mobile device for risk so as to maintain the privacy of the application user are provided. In the example method, the process receives a request from a mobile device. The request includes a cryptographic representation of application information for an application residing on a mobile device. The method includes comparing the cryptographic representation to an application information database that includes cryptographic representations of applications. The method also includes automatically remediating, e.g., quarantining and retiring, the application if the application matches an application that is a known risk in the database. Exemplary embodiments provide companies with controls to prevent specific applications—which have specific behaviors and are present on mobile devices being used by employees—from being used by employees, without the company having any visibility into what particular applications are being used by the employees on the mobile device.

Abstract: Systems and methods for analyzing applications on a mobile device for risk so as to maintain the privacy of the application user are provided. In the example method, the process receives a request from a mobile device. The request includes a cryptographic representation of application information for an application residing on a mobile device. The method includes comparing the cryptographic representation to an application information database that includes cryptographic representations of applications. The method also includes automatically remediating, e.g., quarantining and retiring, the application if the application matches an application that is a known risk in the database. Exemplary embodiments provide companies with controls to prevent specific applications—which have specific behaviors and are present on mobile devices being used by employees—from being used by employees, without the company having any visibility into what particular applications are being used by the employees on the mobile device.

Abstract: Systems and methods for analyzing applications on a mobile device for risk so as to maintain the privacy of the application user are provided. In the example method, the process receives a request from a mobile device. The request includes a cryptographic representation of application information for an application residing on a mobile device. The method includes comparing the cryptographic representation to an application information database that includes cryptographic representations of applications. The method also includes automatically remediating, e.g., quarantining and retiring, the application if the application matches an application that is a known risk in the database. Exemplary embodiments provide companies with controls to prevent specific applications—which have specific behaviors and are present on mobile devices being used by employees—from being used by employees, without the company having any visibility into what particular applications are being used by the employees on the mobile device.

Abstract: Systems and methods for analyzing applications for risk are provided. In the example method, the applications reside on a mobile device that is configurable to access an enterprise system. The example method includes evaluating each of a plurality of applications variously for privacy, data leakage, and malicious behavior. The example method also includes calculating a risk score for each of the plurality of applications based on the evaluating; and automatically remediating (e.g., quarantining) the applications, of the plurality of applications, for which the risk score meets or exceeds a risk score threshold. The method may evaluate all of the applications residing on a mobile device. The method may include grouping application behaviors, for each of the applications, that indicate an increased risk into groups comprising various combinations of a privacy risk, a data leakage risk, an account takeover risk, a device takeover risk, and a malware risk.

Abstract: A detachable storage device can comprise a ram cache, a device controller, and a storage system. The ram cache may be configured to receive data from a digital device. The device controller may be configured to transfer the data from the ram cache to the storage system. The storage system may be configured to store the data at a predetermined event.