A method and apparatus provides techniques for providing complete solutions for role-based, rules-driven access enforcement. An embodiment addresses blended risk assessment and security across logical systems, IT applications, databases, and physical systems from a single analytic dashboard, with auto-remediation capabilities. Further, an embodiment provides capability and functionality for providing visual risk and event monitoring, alerting, mitigation, and analytics displayed on a geospatial map.

Method and apparatus for risk visualization and remediation

A system and method for providing wireless services. One or more wireless identifiers are stored in an authentication space of a server associated with a wireless service provider. The authentication space is associated with an enterprise. A remote client is granted access to the authentication space to allow the enterprise to manage services associated with the one or more wireless identifiers. Managed service options associated with the one or more identifiers are selected. The managed service options are selected in response to receiving data from the remote client.

System and method for remotely managing wireless devices

This paper presents an effective approach for resume information extraction to support automatic resume management and routing. A cascaded information extraction (IE) framework is designed. In the first pass, a resume is segmented into a consecutive blocks attached with labels indicating the information types. Then in the second pass, the detailed information, such as Name and Address, are identified in certain blocks (e.g. blocks labelled with Personal Information), instead of searching globally in the entire resume. The most appropriate model is selected through experiments for each IE task in different passes. The experimental results show that this cascaded hybrid model achieves better F-score than flat models that do not apply the hierarchical structure of resumes. It also shows that applying different IE models in different passes according to the contextual structure is effective.

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Resume Information Extraction with Cascaded Hybrid Model

A logging system includes an event receiver and a storage manager. The receiver receives log data, processes it, and outputs a column-based data “chunk.” The manager receives and stores chunks. The receiver includes buffers that store events and a metadata structure that stores metadata about the contents of the buffers. Each buffer is associated with a particular event field and includes values from that field from one or more events. The metadata includes, for each “field of interest,” a minimum value and a maximum value that reflect the range of values of that field over all of the events in the buffers. A chunk is generated for each buffer and includes the metadata structure and a compressed version of the buffer contents. The metadata structure acts as a search index when querying event data. The logging system can be used in conjunction with a security information/event management (SIEM) system.

Storing log data efficiently while supporting querying

A computer implemented method, apparatus, and computer usable program code for automatically selecting an optimal control cohort. Attributes are selected based on patient data. Treatment cohort records are clustered to form clustered treatment cohorts. Control cohort records are scored to form potential control cohort members. The optimal control cohort is selected by minimizing differences between the potential control cohort members and the clustered treatment cohorts.

System and method to optimize control cohorts using clustering algorithms

An automated transaction integrity monitoring system (100) operative to monitor electronic transactions of an enterprise and detect execeptions indicating noncompliance with enterprise policies. An extractor (140) obtains data from heterogeneous data sources su as enterprise databaases. A staging database (155) caches data from the data sources. A mapper (150) maps enterprise data into an enterprise ontology used to express enterprise policies. A knowledge base (165) stores computer-executable policy statements, extractor data, and mapper data. A collaborative reasoning engine (CORE) (160) executes policy statements against the monitoring database and determines exceptions from CORE. A case management system (190) provides for analysis and tracking of execeptions.

Methods and systems for transaction compliance monitoring

A knowledge base and methods for use in connection with a policy compliance monitoring system operative to determine exceptions to policies expressed by computer-executable policy statements. The system allows establishment, codification, and maintenance of enterprise policies, monitors electronic transactions of the enterprise from various and possibly heterogeneous data sources, detects exceptions to established policies, reports exceptions to authorized users such as managers and auditors, and/or provides a case management system for tracking exceptions and their underlying transactions. The knowledge base comprises extractor files that are utilized for extracting information from data sources for utilization in policy compliance monitoring, a mapper for normalizing data from the data sources against a system ontology and storing normalized data in a monitoring database, and computer-executable compliance policy statements used by a transaction analysis engine. The policy statements represent predetermined policies of the enterprise that apply to data stored in the monitoring database.

Methods and systems for compliance monitoring knowledge base

An automated transaction integrity monitoring system operative to monitor electronic transactions of an enterprise and detect exceptions indicating noncompliance with enterprise policies. The system allows establishment, codification, and maintenance of enterprise policies, monitors electronic transactions of the enterprise from various and possibly heterogeneous data sources, detects exceptions to established policies, reports such exceptions to authorized users such as managers and auditors, and/or provides a case management system for tracking such exceptions and their underlying transactions. The invention specifically relates to systems and methods for transforming or mapping information from a data source relating to a transactional entity associated with an enterprise into a form for processing by a transaction analysis engine operative upon data expressed in a predetermined ontology. The ontology expresses data items in a manner common across plural heterogeneous databases. The enterprise policies are expressed in terms of the ontology.

Methods and systems for mapping transaction data to common ontology for compliance monitoring

A system for determining lack of compliance of a transactional entity with an enterprise policy by maintaining an historical record of the entity as changes are made over time. The system allows establishment, codification, and maintenance of enterprise policies, monitors electronic transactions of the enterprise from various data sources, detects exceptions to established policies, reports exceptions to authorized users such as managers and auditors, and/or provides a case management system for tracking exceptions and their underlying transactions. A master data extractor establishes an initial instance of a transactional entity in a monitoring database. A changed data extractor is responsive to changed data for establishing a subsequent instance of the transactional entity in the monitoring database. A transaction analysis engine applies predetermined policy rules to data in the monitoring database to determine lack of compliance of the initial and subsequent instances of the transactional entity with enterprise policies.

Methods and systems for monitoring transaction entity versions for policy compliance

Methods and systems for extraction of transaction data for compliance monitoring, particularly useful in a system for monitoring electronic transactions of an enterprise and detecting exceptions indicating noncompliance with enterprise policies. Data extractors obtain data from various data sources and provide the data for use by a transaction analysis engine that executes computer-executable compliance policy statements against extracted data. Data extractors include one or more of following: a master extractor, a log extractor, a resync extractor, a programmatic extractor, an environmental source extractor, and an external source extractor. Data extraction is effected by using the master extractor and/or programmatic extractor to extract an initial subset of information about monitored transactions from an enterprise system, and then using the log extractor, the resync extractor, the programmatic extractor, the environmental source extractor, and/or the external source extractor to extract a second subset of information about changed data.

Jeffrey Z. Johnson

Papers

Methods and systems for transaction compliance monitoring

Methods and systems for compliance monitoring knowledge base

Methods and systems for mapping transaction data to common ontology for compliance monitoring

Methods and systems for monitoring transaction entity versions for policy compliance

Methods and systems for extraction of transaction data for compliance monitoring