Abstract: A technique for establishing a perimeter of accountability for usage of digital assets such as data files. The accountability model not only tracks authorized users' access to files, but monitors passage of such files to uncontrollable removable storage media or through network connections and the like which may indicate possible abuse of access. In accordance with a preferred embodiment, an autonomous independent agent process running at a point of use, such as in the background of a client operating system kernel, interrupts requests for access to resources. The agent process senses low level system events, filters, aggregates them, and makes reports to a journaling server. The journaling server analyzes sequences of low level events to detect when aggregate events of interest occur, such as “FileEdit”, network file transfers and the like. Reports can be generated to provide an understanding of how digital assets have been accessed, used or communicated by individuals in an enterprise.

Abstract: A technique for establishing usage control over digital assets such as computer files. The system model not only tracks authorized users' access to files, but monitors passage of such files to uncontrollable removable storage media or through network connections and the like which may indicate possible abuse of access rights. In accordance with a preferred embodiment, an autonomous independent agent process running at a point of use, such a background process in a client operating system kernel, interrupts requests for access to resources. The agent process senses low level system events, filters, and aggregates them. A policy engine analyzes sequences of aggregate events to determine when policy violations occur.

Abstract: A technique for establishing a perimeter of accountability for usage of digital assets such as data files. The accountability model not only tracks authorized users' access to files, but monitors passage of such files to uncontrollable removable storage media or through network connections and the like which may indicate possible abuse of access. In accordance with a preferred embodiment, an autonomous independent agent process running at a point of use, such as in the background of a client operating system kernel, interrupts requests for access to resources. The agent process senses low level system events, filters, aggregates them, and makes reports to a journaling server. The journaling server analyzes sequences of low level events to detect when aggregate events of interest occur, such as “FileEdit”, network file transfers and the like. Reports can be generated to provide an understanding of how digital assets have been accessed, used or communicated by individuals in an enterprise.

Abstract: A data processing application logging, recording, and reporting process and infrastructure. Compliance with regulatory directives such as HIPAA, internal organizational and corporate, personal information privacy, and other security policies can thus be enforced without the need to recode legacy application software. In one preferred embodiment, a core agent process provides “listener” functionality that captures user input events, such as keyboard and mouse interactions, between a user and a legacy application of interest. The agent obtains instructions for how to deal with such events, accessing information that describes the application's behavior as already captured by an application profiler tool. Keyboard and mouse data entry sequences, screen controls and fields of interest are tagged during application profiling process. This data is stored in application profile developed for each mode of a legacy application.

Abstract: A technique for establishing a perimeter of accountability for usage of digital assets such as data files. The accountability model not only tracks authorized users' access to files, but monitors passage of such files to uncontrollable removable storage media or through network connections and the like which may indicate possible abuse of access. In accordance with a preferred embodiment, an autonomous independent agent process running at a point of use, such as in the background of a client operating system kernel, interrupts requests for access to resources. The agent process senses low level system events, filters, aggregates them, and makes reports to a journaling server. The journaling server analyzes sequences of low level events to detect when aggregate events of interest occur, such as “FileEdit”, network file transfers and the like. Reports can be generated to provide an understanding of how digital assets have been accessed, used or communicated by individuals in an enterprise.

Abstract: A technique for establishing a perimeter of accountability for usage of digital assets such as data files. The accountability model not only tracks authorized users' access to files, but monitors passage of such files to uncontrollable removable storage media or through network connections and the like which may indicate possible abuse of access. In accordance with a preferred embodiment, an autonomous independent agent process running at a point of use, such as in the background of a client operating system kernel, interrupts requests for access to resources. The agent process senses low level system events, filters, aggregates them, and makes reports to a journaling server. The journaling server analyzes sequences of low level events to detect when aggregate events of interest occur, such as “FileEdit”, network file transfers and the like. Reports can be generated to provide an understanding of how digital assets have been accessed, used or communicated by individuals in an enterprise.

Abstract: A technique for automatically analyzing mass spectrographic data from mixtures of chemical compounds has a series of screens designed to eliminate or reduce incorrect peak identifications due to background noise, system resolution, system contamination, multiply charged ions and isotope substitutions. With such a technique, mass spectrograph data analysis may be greatly simplified by the identification of probable spurious signals, and analysis will become simpler and more accurate.

Abstract: A technique for automatically analyzing mass spectrographic data from mixtures of chemical compounds is described consisting a series of screens designed to eliminate or reduce incorrect peak identifications due to background noise, system resolution, system contamination, multiply charged ions and isotope substitutions. The technique performs a mass spectrum operation on a control sample, producing a first group of output values. Next, perform a mass spectrographic operation on a sample to be analyzed, producing a second group of output values. Select a first m/z ratio for a material expected to be present in the mixture from a predetermined library of calculated mass spectrometer output spectrums and subtract the value of the control sample at the expected output value from the value of the analyzed sample, and compare the difference to a predetermined value.