System and method for outlier and anomaly detection in identity management artificial intelligence systems using cluster based analysis of network identity graphs
US10681056B1 · kind B1 · utility
19Cited by
16References
24Claims
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Key dates
| Filing date | Nov 22, 2019 |
| Grant date | Jun 9, 2020 |
| Priority date | — |
| Expiry date | Nov 22, 2039 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L63/1425
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Systems and methods for artificial intelligence systems for identity management systems are disclosed. Embodiments may perform outlier detection and risk assessment based on identity management data, including one or more property graphs or peer groups determined from those property graphs, to determine identity management artifacts with ‘abnormal’ patterns when compared to other related identity management artifacts.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.