SELF-SUPERVISED LEARNING SYSTEM FOR ANOMALY DETECTION WITH NATURAL LANGUAGE PROCESSING AND AUTOMATIC REMEDIATION

SELF-SUPERVISED LEARNING SYSTEM FOR ANOMALY DETECTION WITH NATURAL LANGUAGE PROCESSING AND AUTOMATIC REMEDIATION

Systems, apparatuses and methods may provide for technology that identifies a sequence of events associated with a computer architecture, categorizes, with a natural language processing system, the sequence of events into a sequence of words, identifying an anomaly based on the sequence of words and...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: Turek, Javier Sebastian, Guzman, Mateo, Oliver, Dario, Perez-Ramirez, Javier, Martinez-Spessot, Cesar, Carranza, Marcos, Vo, Vy
Format: Patent
Sprache:eng
Schlagworte:
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
PHYSICS
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Beschreibung
Zusammenfassung:Systems, apparatuses and methods may provide for technology that identifies a sequence of events associated with a computer architecture, categorizes, with a natural language processing system, the sequence of events into a sequence of words, identifying an anomaly based on the sequence of words and triggering an automatic remediation process in response to an identification of the anomaly.