SYSTEMS AND METHODS FOR DATA SECURITY MODEL BASED ANOMALY DETERMINATIONS

Abstract: systems, methods, and computer program products are provided herein for data security model based anomaly determinations. an example method includes receiving a product evaluation request that is associated with a first product dataset including product data entries and accessing a data security model. the data security model includes a plurality of data objects including one or more data entries where each data object defines an associated model level indicative of the hierarchical position of the data object within the data security model and one or more links between the data objects that define data object interdependency parameters. the example method includes determining data objects of the data security model applicable to the first product dataset and determining one or more anomalies associated with the first product dataset based on a comparison between the one or more product data entries and the applicable data objects of the data security model.

Inventor(s): John Howard Kling, Charles Edward Dudley, Jason T. Yeung

CPC Classification: G06F21/577 ({Assessing vulnerabilities and evaluating computer system security})

Search for rejections for patent application number 20250165612