Gabriel Infante-Lopez

Gabriel is a Principal Engineer at McAfee, responsible for the analytics components and knowledge representation components of McAfee Investigator.

Gabriel has been in the industry for the last 5 years. He has a PhD in Natural Language Parsing, and expertise in Formal Methods, Data Mining and Machine Learning. He has more than 15 years' experience in Research and Development. He has also worked as an Architect designing and implementing Recommendation Engines and Intelligent Assistants.
He has produce innovative ideas in Knowledge Representation and Graph Databases. He has more than 20 international publications and 5 patent proposals. His key interests include security, resilient fault tolerant system, machine learning, big data, knowledge representation and programming languages.

Gabriel is the father of three beautiful boys, and in his free time Gabriel is a tri-athlete, and enjoys traveling by motorbike on off roads.
Security operation centers (SOCs) are struggling to keep up with attackers, and artificial intelligence (AI) has failed to deliver significant improvements. The industry has been successful at applying AI to malware detection and user and entity behavior analytics (UEBA) using deep neural networks and anomaly detection. But other core SOC jobs such as monitoring, triage, ...
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