Cognitive Automation With Machine Learning In Cybersecurity

Explore cognitive automation with machine learning in cybersecurity through this HITBGSEC 2018 COMMSEC conference talk. Gain insights into machine learning processes, supervised and unsupervised learning methods, and their applications in various cybersecurity domains. Discover how machine learning enhances risk analytics, threat analytics, fraud detection, security incident improvement, and intrusion detection. Learn about incident and event-based management analysis using analytics engines with predictive model building, maintenance, and dynamic assessment. Delve into network traffic analysis, forensics capabilities, impact assessment, behavioral monitoring, threat intelligence feeds, payload analysis, threat correlation, and other analytics operations. Compare traditional fraud detection methods with machine learning-enhanced approaches to understand the added business value. Benefit from the speaker's extensive experience in cybersecurity, including security auditing, application security, risk management, and threat and vulnerability management.

Agenda
About Rishi
Cognitive Automation ML
Data Analysis
Cybersecurity
Machine Learning
Cybersecurity Machine Learning
Intrusion Detection
Cyber Risk Management