Abstract: Systems and methods are provided for active continuous data security. An active receiver module, an active marker module, an active transmitter module and an active profiler module work together to monitor data requests, detect suspicious activity and characteristics, and responds to hinder the suspicious activity. A method includes: obtaining a request for data; obtaining a characteristic associated with the request for data; comparing the characteristic with a database of known patterns and characteristics to determine if the request is suspicious; storing the request and the characteristic in the database for future comparison; and initiating a response to hinder the request for the data when the request is determined to be suspicious. Markers embedded in data are used to track the data, including data that is exposed to a security risk. Pattern detection is used to uncover suspicious activity and the systems are able self-learn as more data is provided.

Abstract: Systems and techniques for capturing audio and delivering the audio in digital streaming media formats are disclosed. Several aspects of the systems and techniques operate in a cloud computing environment where computational power is allocated, utilized, and paid for entirely on demand. The systems and techniques enable a call to be made directly from a virtual machine out to a Public Switch Telephone Network (PSTN) via a common Session Interface Protocol (SIP) to PSTN Breakout service, and the audio to be delivered onward to one or more Content Delivery Network (CDN). An audio call capture interface is also provided to initiate and manage the digital streaming media formats.

Abstract: An information processing system provisions a client account for a user to enable a client computer associated with the user to store information in an elastic storage system and to prohibit the client computer, the information processing system, and the elastic storage system from altering and from deleting the stored information during an authorized retention period. Data messages are received from one or more client computers and include information that is required to be stored for the authorized retention period. That information is transmitted via one or more data communications networks to the elastic storage system for storage so that the stored information is non-rewriteable and non-erasable during the authorized retention period. The secure data center receives the retrieved copy and provides it to the user device.

Abstract: A social intelligence system is presented that streams information from a source, queues the streamed information, analyzes/scores the queued data, and stores the analyzed/scored data in an analysis database. The analyzed/scored data can then be retrieved from the database for post-processing and stored in a client specific database for further reporting. By streaming the data into various message queues and scoring the data before storing in the analysis database, large volumes of data can be efficiently processed and analyzed for a particular person and/or entity.