Abstract: The appropriate scoping of an access policy can be determined using the observed access and usage of various resources covered under that policy. Information about access requests received over a period of time can be logged, and actions represented in the log data can be mapped to the permissions of the access policy. A new access policy can be generated that includes grant permissions only for those actions that were received and/or granted during the monitored period of time. The new policy can be processed using policy logic to ensure that changes in permission comply with rules or policies for the target resources. The new policy can be at least partially implemented, or can be provided to an authorized user, who can choose to adopt or deny the new policy, or to accept some of the recommendations for modifying the current policy.

Abstract: The appropriate scoping of an access policy can be determined using the observed access and usage of various resources covered under that policy. Information about access requests received over a period of time can be logged, and actions represented in the log data can be mapped to the permissions of the access policy. A new access policy can be generated that includes grant permissions only for those actions that were received and/or granted during the monitored period of time. The new policy can be processed using policy logic to ensure that changes in permission comply with rules or policies for the target resources. The new policy can be at least partially implemented, or can be provided to an authorized user, who can choose to adopt or deny the new policy, or to accept some of the recommendations for modifying the current policy.

Abstract: Methods and systems for generating search indexes in a virtual desktop environment are disclosed. An initial index generation module is configured to generate initial iterations of search indexes for a plurality of users associated with respective virtual desktops and store the initial iterations of search indexes on a shared data store. An incremental search indexing module is configured to update existing iterations of search indexes associated with the plurality of users according to respective schedules. A search processing module is configured to receive a search query from a first user while the first user is logged into the first virtual desktop, identify, utilizing an iteration of the search index associated with a first user and stored on the server storing search indexes for the plurality of users associated with respective virtual desktops, matching documents, and to cause search results corresponding to the matching documents to be presented via the first virtual desktop.

Abstract: A corpus of documents (and other data objects) stored for an entity can be analyzed to determine one or more topics for each document. Elements of the documents can be analyzed to also assign a risk score. The types of topics and security elements, and the associated risk scores, can be learned and adapted over time using, for example, a topic model and random forest regressor. Activity with respect to the documents is monitored, and expected behavior for a user determined using a trained recurrent neural network. Ongoing user activity is processed to determine whether the activity excessively deviates from the expected user activity. The activity can also be compared against the activity of user peers to determine whether the activity is also anomalous among the user peer group. For anomalous activity, risk scores of the accessed documents can be analyzed to determine whether to generate an alert.

Abstract: This invention is a novel method for analysis of data that is produced by test equipment. The preferred embodiment is data produced by liquid chromatography tandem mass spectrometry (LC-MS/MS) equipment, using industry standard methods to generate the initial data from the test equipment. The invention is a method for processing of the data to promptly produce accurate, reliable, and meaningful data that can be used for critical decisions. The unique benefit of the method is to correct the multiple measurement and calculation errors that are inherent in the operation of laboratory equipment. Prior methods result in errors based on circumstances that are difficult to control, accuracy-related errors in machine measurements, and fundamental mathematical errors in the data processing software that used with the laboratory equipment.

Abstract: A corpus of documents (and other data objects) stored for an entity can be analyzed to determine one or more topics for each document. Elements of the documents can be analyzed to also assign a risk score. The types of topics and security elements, and the associated risk scores, can be learned and adapted over time using, for example, a topic model and random forest regressor. Activity with respect to the documents is monitored, and expected behavior for a user determined using a trained recurrent neural network. Ongoing user activity is processed to determine whether the activity excessively deviates from the expected user activity. The activity can also be compared against the activity of user peers to determine whether the activity is also anomalous among the user peer group. For anomalous activity, risk scores of the accessed documents can be analyzed to determine whether to generate an alert.

Abstract: Methods and systems for generating search indexes in a virtual desktop environment are disclosed. An initial index generation module is configured to generate initial iterations of search indexes for a plurality of users associated with respective virtual desktops and store the initial iterations of search indexes on a shared data store. An incremental search indexing module is configured to update existing iterations of search indexes associated with the plurality of users according to respective schedules. A search processing module is configured to receive a search query from a first user while the first user is logged into the first virtual desktop, identify, utilizing an iteration of the search index associated with a first user and stored on the server storing search indexes for the plurality of users associated with respective virtual desktops, matching documents, and to cause search results corresponding to the matching documents to be presented via the first virtual desktop.

Abstract: A corpus of documents (and other data objects) stored for an entity can be analyzed to determine one or more topics for each document. Elements of the documents can be analyzed to also assign a risk score. The types of topics and security elements, and the associated risk scores, can be learned and adapted over time using, for example, a topic model and random forest regressor. Activity with respect to the documents is monitored, and expected behavior for a user determined using a trained recurrent neural network. Ongoing user activity is processed to determine whether the activity excessively deviates from the expected user activity. The activity can also be compared against the activity of user peers to determine whether the activity is also anomalous among the user peer group. For anomalous activity, risk scores of the accessed documents can be analyzed to determine whether to generate an alert.

Abstract: A corpus of documents (and other data objects) stored for an entity can be analyzed to determine one or more topics for each document. Elements of the documents can be analyzed to also assign a risk score. The types of topics and security elements, and the associated risk scores, can be learned and adapted over time using, for example, a topic model and random forest regressor. Activity with respect to the documents is monitored, and expected behavior for a user determined using a trained recurrent neural network. Ongoing user activity is processed to determine whether the activity excessively deviates from the expected user activity. The activity can also be compared against the activity of user peers to determine whether the activity is also anomalous among the user peer group. For anomalous activity, risk scores of the accessed documents can be analyzed to determine whether to generate an alert.

Abstract: This invention is a novel method for analysis of data that is produced by test equipment. The preferred embodiment is data produced by liquid chromatography tandem mass spectrometry (LC-MS/MS) equipment, using industry standard methods to generate the initial data from the test equipment. The invention is a method for processing of the data to promptly produce accurate, reliable, and meaningful data that can be used for critical decisions. The unique benefit of the method is to correct the multiple measurement and calculation errors that are inherent in the operation of laboratory equipment. Prior methods result in errors based on circumstances that are difficult to control, accuracy-related errors in machine measurements, and fundamental mathematical errors in the data processing software that used with the laboratory equipment.

Abstract: This invention is a novel method for analysis of data that is produced by test equipment. The preferred embodiment is data produced by liquid chromatography tandem mass spectrometry (LC-MS/MS) equipment, using industry standard methods to generate the initial data from the test equipment. The invention is a method for processing of the data to promptly produce accurate, reliable, and meaningful data that can be used for critical decisions. The unique benefit of the method is to correct the multiple measurement and calculation errors that are inherent in the operation of laboratory equipment. Prior methods result in errors based on circumstances that are difficult to control, accuracy-related errors in machine measurements, and fundamental mathematical errors in the data processing software that is used with the laboratory equipment.

Abstract: This invention is a novel method for analysis of data that is produced by test equipment. The preferred embodiment is data produced by liquid chromatography tandem mass spectrometry (LC-MS/MS) equipment, using industry standard methods to generate the initial data from the test equipment. The invention is a method for processing of the data to promptly produce accurate, reliable, and meaningful data that can be used for critical decisions. The unique benefit of the method is to correct the multiple measurement and calculation errors that are inherent in the operation of laboratory equipment. Prior methods result in errors based on circumstances that are difficult to control, accuracy-related errors in machine measurements, and fundamental mathematical errors in the data processing software that used with the laboratory equipment.