- Patent Title: Artificial intelligence-based lateral movement identification tool
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Application No.: US17466997Application Date: 2021-09-03
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Publication No.: US11632321B2Publication Date: 2023-04-18
- Inventor: Steven E. Sinks , Jonathan Sheedy
- Applicant: Bank of America Corporation
- Applicant Address: US NC Charlotte
- Assignee: Bank of America Corporation
- Current Assignee: Bank of America Corporation
- Current Assignee Address: US NC Charlotte
- Agency: Banner & Witcoff, Ltd.
- Main IPC: H04L12/26
- IPC: H04L12/26 ; H04L29/08 ; G06N5/04 ; H04L43/10 ; H04L67/06

Abstract:
A lateral movement identification tool analyzes communications sent and received from a local host to identify potential instances of lateral movement. When the host-based lateral movement identification tool identifies a host to host connection, the tool processes one or more artificial intelligence algorithms to analyze information from local network resources including a directory service, a local network system such as a network basic input/output system, a domain name system, and event logs. The lateral movement identification tool correlates the aggregated information with identified host to host messaging and sends alerts when lateral movement is suspected. Alerts may be either presented locally or provided to a central console based on configuration information.
Public/Granted literature
- US20220029907A1 Artificial Intelligence-Based Lateral Movement Identification Tool Public/Granted day:2022-01-27
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