In this talk I will provide the introduction of machine learning and it’s process flow. I’ll be going to discuss on the supervised or unsupervised learning methods.
I’ll discuss cognitive automation with machine learning in different areas of cyber security domains like Risk Analytics, Threat Analytics, Fraud Detection, Improvement of a security incident, Intrusion Detection. In addition, I will also cover incident and event-based management analysis by analytics engine with the predictive model builds, maintenance and dynamic assessment. It will involve network traffic analysis, forensics capabilities, impact assessment, behavioral monitoring, threat intelligence feeds, payloads analysis, threat correlation and other different analytics operations.
I’ll also showcase how machine learning adds value to the business of fraud detection and its mechanisms while comparing the traditional means on how they will be improvised with the help machine learning.
