Introduction To The Neuroanalytics Of Fraud

We are glad to bring you a course on fraud prevention and information security.

Analyzing and adapting to a threat landscape geared towards the manipulation of human behavior is complex. While AI has produced effective fingerprinting results, it cannot adapt to a landscape of social engineering, where human behavior is irrational and can change in an instant. Understanding the neuroscience of social engineering and the implications of fraud is essential to detecting and preventing losses.

This foundational course teaches the biases and behavioral risks that weaken fraud prevention systems and explains why collaboration and critical thinking are essential to mitigating them. You will learn how behavioral and psychological science can be applied to strengthen decision-making and protect against bad actors.

This course is ideal for:

1. Leaders and executives seeking guidance to address risk exposure and understand the unique value of a skilled and dedicated (not merely designated) fraud prevention team.

2. HR and talent professionals responsible for designing job profiles or recruiting for roles with high levels of access and permissions, including fraud prevention, trust & safety, finance, security, and risk intelligence functions.

3. Fraud, risk, security, legal, investigative, and compliance practitioners who wish to deepen their understanding of how psychology and social engineering drive fraud and crime.

4. Anyone interested in the intersection of human behavior, psychology, and technology and how these factors shape the modern digital threat landscape.

It is taught by Elena Michaeli, CFE, a seasoned fraud and risk strategist, and subject matter expert with over 15 years of experience proactively combating fraud, building and implementing fraud risk strategies, systems, and leading product development across eCommerce, Fintech, and Military Intelligence Forces.

The course provides guidance and examples to explain why the human mind is influenced by culture and biases, what drives malicious social engineering, and how to counter it. These insights help organizations and professionals improve fraud strategies, processes, and even reconstruct workflows and decision frameworks to combat fraud more effectively.