Invention Grant
- Patent Title: Artificial intelligence corroboration of vendor outputs
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Application No.: US17149862Application Date: 2021-01-15
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Publication No.: US12113809B2Publication Date: 2024-10-08
- Inventor: Ajay Jose Paul , Ghada I. Khashab , Sidy Diop , Peggy J. Qualls , Anthony R. Bandos , Lori Mammoser
- 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: Weiss & Arons LLP
- Main IPC: H04L9/00
- IPC: H04L9/00 ; G06N20/00 ; H04L9/40

Abstract:
Artificial Intelligence (“AI”) apparatus and method are provided that correlate and consolidate operation of discrete vendor tools for detecting cyberthreats on a network. An AI engine may filter false positives and eliminate duplicates within cyberthreats detected by multiple vendor tools. The AI engine provides machine learning solutions to complexities associated with translating vendor-specific cyberthreats to known cyberthreats. The AI engine may ingest data generated by the multiple vendor tools. The AI engine may classify hardware devices or software applications scanned by each vendor tool. The AI engine may decommission vendor tools that provide redundant cyberthreat detection. The AI engine may display operational results on a dashboard directing cyberthreat defense teams to corroborated cyberthreats and away from false positives.
Public/Granted literature
- US20220232018A1 ARTIFICIAL INTELLIGENCE CORROBORATION OF VENDOR OUTPUTS Public/Granted day:2022-07-21
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