Abstract: 

Cyberthreats are becoming smarter and more complex as the threat players have access to newer, AI driven, cloud enhanced technologies. Having the ability to forecast cyberattacks before they happen depends on the same AI capabilities. How can we outsmart the cyberthreats? The answer is by augmenting traditional Cybersecurity with the help of Machine Learning and Deep Leaning technologies. This session will be focused on defining the threat players, types of security threats and defensive techniques, and will culminate with a practical example on how Generative Adversarial Networks can help build proactive, resilient, and robust cybersecurity solutions.

Bio: 

Jaspreet Singh is a Senior Software Architect in McKinsey & Company’s New York Office with focus on Software Engineering and Enterprise Data & Analytics with 25 years of total IT experience. He started working with the Firm in Jan 2002 and has lead various engagements related to Enterprise Data & Analytics. Jaspreet brings more than 2 decades of experience in building high performing teams and delivering enterprise data and analytics solutions across a wide variety of technology platforms and functions. Jaspreet holds a Post Graduate degree in Computer Science. He is an AWS certified Solution Architect Professional, Azure Certified Data Engineer, Google Cloud Professional Data Engineer, Certified Scrum Master and Certified Product Owner. Jaspreet also has 3 patents pending with United States Patent Office related to techniques for automated cloud data and technology solution delivery using machine learning and artificial intelligence modeling.