AUTOMATED GENERATION OF ADAPTIVE POLICIES FROM ORGANIZATIONAL DATA FOR DETECTION OF RISK-RELATED EVENTS

AUTOMATED GENERATION OF ADAPTIVE POLICIES FROM ORGANIZATIONAL DATA FOR DETECTION OF RISK-RELATED EVENTS

Techniques are provided for generating adaptive policies from organization data for detection of risk-related events. One method comprises obtaining features identified in organization data of an organization for a risk analysis, wherein a given feature comprises a plurality of data values, wherein...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: Koganov, Arkady, Gendelev, Anatoly, Zaslavsky, Alex
Format: Patent
Sprache:eng
Schlagworte:
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES
PHYSICS
SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR
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Beschreibung
Zusammenfassung:Techniques are provided for generating adaptive policies from organization data for detection of risk-related events. One method comprises obtaining features identified in organization data of an organization for a risk analysis, wherein a given feature comprises a plurality of data values, wherein each data value for the given feature comprises a discrete value of the given feature or a range of values for the given feature; obtaining a probability of occurrence associated with each data value based on the organization data; identifying a plurality of candidate anomalous data values based on the probabilities of occurrence; determining an intervention rate for a plurality of combinations of the candidate anomalous data values; and generating policies for the organization using the combinations of candidate anomalous data values based on a corresponding intervention rate. The generated policies are used to detect one or more risk-related events.