Abstract: In one embodiment, a system includes a processor, and a memory to store data used by the processor, the processor being operative to prepare a first user interface including a security policy selection section, interpret user input data to include performing at least one security policy selection action in the security policy selection section yielding selection of a first security policy for a first device, and update the first user interface yielding an updated first user interface including the first security policy, and a first security policy activation key for inputting into a second user interface to be generated when the first device is installed, the first security policy activation key being associated with providing authentication for downloading the first security policy to the first device.

Abstract: In one embodiment, a system includes a processor, and a memory to store data used by the processor, the processor being operative to prepare a first user interface including a security policy selection section, interpret user input data to include performing at least one security policy selection action in the security policy selection section yielding selection of a first security policy for a first device, and update the first user interface yielding an updated first user interface including the first security policy, and a first security policy activation key for inputting into a second user interface to be generated when the first device is installed, the first security policy activation key being associated with providing authentication for downloading the first security policy to the first device.

Abstract: Disclosed are systems and methods for performing automatic, large-scale analysis mobile applications to determine and analyze application vulnerability. The disclosed systems and methods include identifying potentially vulnerable applications, identifying the application entry points that lead to vulnerable behavior, and generating smart input for text fields. Thus, a fully automated framework is implemented to run in parallel on multiple emulators, while collecting vital information.

Abstract: Disclosed are systems and methods for performing automatic, large-scale analysis mobile applications to determine and analyze application vulnerability. The disclosed systems and methods include identifying potentially vulnerable applications, identifying the application entry points that lead to vulnerable behavior, and generating smart input for text fields. Thus, a fully automated framework is implemented to run in parallel on multiple emulators, while collecting vital information.