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1. WO2020112522 - SYSTEM AND METHOD FOR PEER GROUP DETECTION, VISUALIZATION AND ANALYSIS IN IDENTITY MANAGEMENT ARTIFICIAL INTELLIGENCE SYSTEMS USING CLUSTER BASED ANALYSIS OF NETWORK IDENTITY GRAPHS

Publication Number WO/2020/112522
Publication Date 04.06.2020
International Application No. PCT/US2019/062743
International Filing Date 22.11.2019
IPC
H04L 29/08 2006.01
HELECTRICITY
04ELECTRIC COMMUNICATION TECHNIQUE
LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
29Arrangements, apparatus, circuits or systems, not covered by a single one of groups H04L1/-H04L27/136
02Communication control; Communication processing
06characterised by a protocol
08Transmission control procedure, e.g. data link level control procedure
H04L 29/06 2006.01
HELECTRICITY
04ELECTRIC COMMUNICATION TECHNIQUE
LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
29Arrangements, apparatus, circuits or systems, not covered by a single one of groups H04L1/-H04L27/136
02Communication control; Communication processing
06characterised by a protocol
G06F 16/901 2019.01
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
FELECTRIC DIGITAL DATA PROCESSING
16Information retrieval; Database structures therefor; File system structures therefor
90Details of database functions independent of the retrieved data types
901Indexing; Data structures therefor; Storage structures
G06F 16/906 2019.01
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
FELECTRIC DIGITAL DATA PROCESSING
16Information retrieval; Database structures therefor; File system structures therefor
90Details of database functions independent of the retrieved data types
906Clustering; Classification
CPC
G06F 16/345
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
FELECTRIC DIGITAL DATA PROCESSING
16Information retrieval; Database structures therefor; File system structures therefor
30of unstructured textual data
34Browsing; Visualisation therefor
345Summarisation for human users
G06F 16/355
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
FELECTRIC DIGITAL DATA PROCESSING
16Information retrieval; Database structures therefor; File system structures therefor
30of unstructured textual data
35Clustering; Classification
355Class or cluster creation or modification
G06F 16/9024
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
FELECTRIC DIGITAL DATA PROCESSING
16Information retrieval; Database structures therefor; File system structures therefor
90Details of database functions independent of the retrieved data types
901Indexing; Data structures therefor; Storage structures
9024Graphs; Linked lists
G06F 16/906
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
FELECTRIC DIGITAL DATA PROCESSING
16Information retrieval; Database structures therefor; File system structures therefor
90Details of database functions independent of the retrieved data types
906Clustering; Classification
G06F 21/45
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
FELECTRIC DIGITAL DATA PROCESSING
21Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
30Authentication, i.e. establishing the identity or authorisation of security principals
45Structures or tools for the administration of authentication
G06F 21/57
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
FELECTRIC DIGITAL DATA PROCESSING
21Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
50Monitoring users, programs or devices to maintain the integrity of platforms, e.g. of processors, firmware or operating systems
57Certifying or maintaining trusted computer platforms, e.g. secure boots or power-downs, version controls, system software checks, secure updates or assessing vulnerabilities
Applicants
  • SAILPOINT TECHNOLOGIES, INC. [US]/[US]
Inventors
  • BADAWY, Mohamed M.
  • HO, Jostine Fei
Agents
  • AKMAL, Ariyeh G.
Priority Data
16/201,60427.11.2018US
Publication Language English (EN)
Filing Language English (EN)
Designated States
Title
(EN) SYSTEM AND METHOD FOR PEER GROUP DETECTION, VISUALIZATION AND ANALYSIS IN IDENTITY MANAGEMENT ARTIFICIAL INTELLIGENCE SYSTEMS USING CLUSTER BASED ANALYSIS OF NETWORK IDENTITY GRAPHS
(FR) SYSTÈME ET PROCÉDÉ DE DÉTECTION, DE VISUALISATION ET D’ANALYSE DE GROUPES D’HOMOLOGUES DANS DES SYSTÈMES D’INTELLIGENCE ARTIFICIELLE DE GESTION D’IDENTITÉS À L’AIDE D’UNE ANALYSE, BASÉE SUR DES GRAPPES, DE GRAPHES D’IDENTITÉ DE RÉSEAU
Abstract
(EN)
Systems and methods for graph based artificial intelligence systems for identity management systems are disclosed. Embodiments of the identity management systems disclosed herein may utilize a network graph approach to peer grouping of identities of distributed networked enterprise computing environment. Specifically, in certain embodiments, data on the identities and the respective entitlements assigned to each identity as utilized in an enterprise computer environment may be obtained by an identity management system. A network identity graph may be constructed using the identity and entitlement data. The identity graph can then be clustered into peer groups of identities. The peer groups of identities may be used by the identity management system and users thereof in risk assessment or other identity management tasks.
(FR)
La présente invention concerne des systèmes et des procédés destinés à des systèmes d’intelligence artificielle basés sur des graphes pour des systèmes de gestion d’identités. Des modes de réalisation des systèmes de gestion d’identités peuvent utiliser une approche par graphe de réseau pour regrouper par homologues des identités d’un environnement informatique d’entreprise distribué dans un réseau. Spécifiquement, dans certains modes de réalisation, des données sur les identités et sur les droits respectifs attribués à chaque identité, tels qu’ils sont utilisés dans un environnement informatique d’entreprise, peuvent être obtenues par un système de gestion d’identités. Un graphe d’identité de réseau peut être construit à l’aide des données d’identité et de droits. Le graphe d’identité peut ensuite être regroupé en des groupes d’identités par homologues. Les groupes d’identités par homologues peuvent être utilisés par le système de gestion d’identités et des utilisateurs de ce dernier dans des tâches d’estimations de risque ou dans d’autres tâches de gestion d’identités.
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