Abstract: A system and method for a highly scalable distributed connection interface for data capture from multiple network service sources. The connection interface is designed to enable simple to initiate, performant and highly available input/output from a large plurality of external networked service's and application's application programming interfaces (API) to the modules of an integrated predictive business operating system. To handle the high volume of information exchange, the connection interface is distributed and designed to be scalable and self-load-balancing. The connection interface possesses robust expressive scripting capabilities that allow highly specific handling rules to be generated for the routing, transformation, and output of data within the business operating system.

Abstract: A system and method for a highly scalable distributed connection interface for data capture from multiple network service sources. The connection interface is designed to enable simple to initiate, performant and highly available input/output from a large plurality of external networked service's and application's application programming interfaces (API) to the modules of an integrated predictive business operating system. To handle the high volume of information exchange, the connection interface is distributed and designed to be scalable and self-load-balancing. The connection interface possesses robust expressive scripting capabilities that allow highly specific handling rules to be generated for the routing, transformation, and output of data within the business operating system.

Abstract: A system and method for creating and implementing data processing workflows using a distributed computational graph comprising modules that represent various stages within a data processing workflow. Each module represents one or more data processing steps, with some of the modules representing data processing performed by a cloud-based service and containing code for interfacing with the application programming interface (API) of that cloud-based service. A series of modules and their interconnections specify the workflow. Data is processed according to the workflow by implementing the data processing step represented by each module, some of which may access cloud-based data processing services. The result is that users can create complex data processing workflows that utilize cloud-based services to process data without having to know how to access the cloud-based data processing services, or even know that they exist.

Abstract: A system and method for a flexible, high-speed Managed Detection and Response platform that ingests, parses, normalizes, monitors, and correlates nearly any log source or security tool output. The MDR comprising of a declarative connector service that tags events with appropriate data source labels to facilitating data isolation, proper handling, and provenance across multiple customers and security products but otherwise aggregate alerts into a single data stream for consumption by the MDR SOC operators. A connector service further provides a programmatic (API-based) means to interchange data securely across environments. Event data is aggregated by the Managed Detection and Response platform that then utilizes enhanced log ingest capabilities to process the data allowing SOC operators to be able to write rules against the alerts.

Abstract: A system and methods for integrating datasets and automating transformation workflows using a distributed computational graph comprising modules that represent various stages within a data processing workflow. The system detects new datasets and automatically selects or assembles a workflow to process the new data, and integrates new data through a series of identification, transformation, and metadata enrichment pipelines.

Abstract: A system and method for a highly scalable distributed connection interface for data capture from multiple network service sources. The connection interface is designed to enable simple to initiate, performant and highly available input/output from a large plurality of external networked service's and application's application programming interfaces (API) to the modules of an integrated predictive business operating system. To handle the high volume of information exchange, the connection interface is distributed and designed to be scalable and self-load-balancing. The connection interface possesses robust expressive scripting capabilities that allow highly specific handling rules to be generated for the routing, transformation, and output of data within the business operating system.

Abstract: A system and method for creating and implementing data processing workflows using a distributed computational graph comprising modules that represent various stages within a data processing workflow. Each module represents one or more data processing steps, with some of the modules representing data processing performed by a cloud-based service and containing code for interfacing with the application programming interface (API) of that cloud-based service. A series of modules and their interconnections specify the workflow. Data is processed according to the workflow by implementing the data processing step represented by each module, some of which may access cloud-based data processing services. The result is that users can create complex data processing workflows that utilize cloud-based services to process data without having to know how to access the cloud-based data processing services, or even know that they exist.