Understanding the Importance of Securing the ML Code with ML
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.
Dr. John Almasan is a is a distinguished engineer within McKinsey & Company's Cloud Data and Analytics team. An accomplished technology executive with 20+ years of experience, John has led global tech teams and built large-scale data, analytics, and cloud platforms at Bank of America, American Express, and Nationwide Insurance. An expert in multi-cloud big data engineering, machine learning, and data science, John focuses on enabling the acceleration of AI adoption, as well as employee cross-training. John is a member of the Arizona State University’s Board of Advisors and serves as an adjunct professor at several universities, actively involved in preparing the next generation to meet the future skillset needs and demands. John holds two master’s degrees (Engineering and Statistics) and a Doctorate of Business Administration. He is credited with 15+ patents and is the recipient of several awards.