Hybrid Defense: Boost Cybersecurity with Human Augmented Machine Learning - Seguridad Mania.com - España y América Latina

Artificial Intelligence and Machine Learning are impressive but not yet able to completely replace security professionals. So, what is the right solution for you and your organization? In this webinar, we will demonstrate the shortcomings of using both technologies, without a security professional in the loop, and make the case that coupling the experience and intuition of a security professional with a machine learning system, can greatly improve the overall results. We will also tap the insights of Arctic Wolf Networks's Chief Architect, Matthew Thurston, on how Hybrid-AI and Machine Learning can improve threat detection capabilities and reduce false positives. After attending, you will be able to: - Recognize how AI and Machine Learning are typically used in Cybersecurity, and what are the gaps - Define what is Hybrid-AI, why it improves detection accuracy and reduce false positives - Understand how Arctic Wolf Networks uses human augmented machine learning to detect Ransomware attacks About our guest speaker: Matthew Thurston developed his technical vision and security industry experience working over 10 years at Blue Coat Systems as a key developer of the policy enforcement system. He was a co-inventor on patents covering network policy management and optimizing MS Exchange (MAPI) traffic. His work reverse engineering the MAPI protocol gave birth to his keen interest in all things packet-related. Prior to Blue Coat, Matthew cut his teeth as a developer working on a wide range of projects including laser projection systems at Virtek Vision, ergonomic automation at HumanCAD Systems and configuration management software at MKS. Matthew is a graduate of the University of Guelph with a bachelor of science in computer science.