Artificial intelligence corroboration of vendor outputs
AssigneeBank of America Corporation
InventorsAjay Jose Paul, Ghada I. Khashab, Sidy Diop, Peggy J. Qualls, Anthony R. Bandos, Lori Mammoser
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AssigneeBank of America Corporation
InventorsAjay Jose Paul, Ghada I. Khashab, Sidy Diop, Peggy J. Qualls, Anthony R. Bandos, Lori Mammoser
Estimating the term…
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.
An artificial intelligence (“AI”) method for unifying cybersecurity vulnerabilities detected by disparate software tools deployed across an enterprise organization, the AI method comprising:
An artificial intelligence (“AI”) system comprising:
An artificial intelligence (“AI”) system for corroborating cyberthreats detected by multiple vendor tools, the system comprising:
Dependencies are inferred from the claim text.