Applying User Entity Behavioural Analytics (for Financial Sector)
About This Course
At the end of the 4-day course, participants will be able to:
• Know how User & Entity Behaviour Analyics or UEBA is applied in cybersecurity risk and programme management
• Understand the technologies, tools and processes applicable
• Understand the fundamentals of data analytics and its relevance for UEBA
• Understand the fundamentals of machine learning and deep learning and its relevance in UEBA
• Gain knowledge on the use of K-means clustering, Classification, Regressions and Component Analysis in UEBA
• Learn about data source integration and cleansing management process for UEBA
• Understand the implementation requirements for UEBA
• Learn how to use data visualisation for UEBA presentation
• Gain insights into the challenges and limitations of UEBA
• Understand the best practices of UEBA
What You'll Learn
· Benefits of UEBA and its role in cyber risk and program management
· Implementation requirements
· Components applicable for UEBA solution
· Tools, technologies and processes for UEBA
2. Getting started with UEBA
· Baseline profiling and data collection
· Data Cleansing, data Integration and data analytics
· Data Modelling and visualisation of finding of UEBA
3. Fundamentals of Data Analytics
· Basis concept of data analytics
· Algorithms for UEBA
o K-means clustering
o Regression and component Analysis
o Classification
· Data visualisation – presenting UEBA finding
· Hands-on practice of data analytics
4. Fundamentals of Machine Learning and Deep Learning
5. Hands-on exercises
6. Challenges and Limitations
7. Best Practices of UEBA
Entry Requirements
Participants should preferably have basic knowledge of IT and the fundamentals in cybersecurity.