Abstract: Illustrative embodiments process large amounts of unstructured data by producing, from the unstructured data, a plurality of work items. Each work item includes an item of unstructured data, and corresponding work item metadata. Each work item may be claimed by a corresponding consumer node. In illustrative embodiments, a consumer node claims a work item only when the work item is compatible with the consumer node. The consumer node then processes the claimed work item by performing a specified task on the item of unstructured data associated with the work item.

Abstract: Embodiments improve a document classification system by adjusting the class vector of each class based on embedded vectors of documents known to have been misclassified by the system. Some embodiments use a set of misclassified documents to adjust the class vector of the class into which a document has been misclassified. Some embodiments use a set of misclassified documents to adjust the class vector of the pre-assigned class of each misclassified document. Embodiments of adjusting the class vector may be described as machine learning.

Abstract: This invention provides systems and methods for data processing by means of an ongoing background process on an end-user's computer. As a user receives and generates data, files are analyzed. A container file is opened into the volatile memory and its contents (including data and metadata) are extracted, without requiring an index to be created. The extracted components are analyzed based on predefined characteristics.

Abstract: The present invention provides an integrated, context-aware, security system that provides an adaptive endpoint security agent architecture model for a continuously monitoring and recording activity across an enterprise, specifically monitoring activity on endpoints, and subsequently detecting and blocking any malicious processes that may otherwise invade the enterprise and cause issues. The endpoint security agent architecture exposes a well-defined, public interface to the event data generated by the endpoint security agent in the form of a custom programming language by which a user can define the logic that the endpoint security agent executes in response to event data to perform detection of and response to suspicious activity.

Abstract: Embodiments improve a document classification system by adjusting the class vector of each class based on embedded vectors of documents known to have been misclassified by the system. Embodiments methods of adjusting the class vector may be described as machine learning.

Abstract: This invention provides systems and methods for data processing by means of an ongoing background process on an end-user's computer. As a user receives and generates data, files are analyzed. A container file is opened into the volatile memory and its contents (including data and metadata) are extracted, without requiring an index to be created. The extracted components are analyzed based on predefined characteristics.

Abstract: The invention relates to electronic indexing, and more particularly, to the indexing, in a cloud, data held in a cloud. Systems and methods of the invention index data by accessing the data in place in the cloud and breaking a job into work items and sending the work items to multiple cloud processes that can each determine whether to index data associated with the work item or to create a new work item and have a different cloud process index the data. Each cloud process is proximal to an item that it indexes. This gives the system scale as well as an internal load-balancing.

Abstract: The present invention provides an integrated, context-aware, security system that provides an adaptive endpoint security agent architecture model for a continuously monitoring and recording activity across an enterprise, specifically monitoring activity on endpoints, and subsequently detecting and blocking any malicious processes that may otherwise invade the enterprise and cause issues. The endpoint security agent architecture exposes a well-defined, public interface to the event data generated by the endpoint security agent in the form of a custom programming language by which a user can define the logic that the endpoint security agent executes in response to event data to perform detection of and response to suspicious activity.

Abstract: This invention provides systems and methods for data processing by means of an ongoing background process on an end-user's computer. As a user receives and generates data, files are analyzed. A container file is opened into the volatile memory and its contents (including data and metadata) are extracted, without requiring an index to be created. The extracted components are analyzed based on predefined characteristics.

Abstract: Systems and methods for electronic data indexing support user-side scripting through an application program interface (API). In some aspects, a user-script generates target data using third party software programs. The user-script sends parameters through the API to an indexing engine. The parameters identify the target data to the indexing engine for processing, analyzing, and performing operations.

Abstract: This invention provides systems and methods for data processing by means of an ongoing background process on an end-user's computer. As a user receives and generates data, files are analyzed. A container file is opened into the volatile memory and its contents (including data and metadata) are extracted, without requiring an index to be created. The extracted components are analyzed based on predefined characteristics.

Abstract: Systems and methods for electronic data indexing support user-side scripting through an application program interface (API). In some aspects, a user-script generates target data using third party software programs. The user-script sends parameters through the API to an indexing engine. The parameters identify the target data to the indexing engine for processing, analyzing, and performing operations.