Introduction To The Neuroanaytics Of Fraud

Profiling and Adapting against Expert Level Deceptive Behavior

What you'll learn

Understanding the neuroscience of social engineering and the implications on fraud

Skills required for fraud prevention professionals (including investigators and examiners)

Why AI and ML are beneficial, yet not an absolute solution to fraud prevention

The inevitable partnerships with teams and with Cybersecurity in particular

Significant cognitive biases in the fraud prevention world and how to avoid them

Requirements

No prior experience is required to enroll in this course.

The course provides an introductory overview on fraud prevention and the unique outlook needed to develop in order to catch bad actors.

Description

We are glad to bring you a course on fraud prevention and information security.This course is ideal for:Those who want to know more about biases risks in investigations and how to identify them; andThe unique value of skilled fraud prevention professionals.The course will give you the knowledge and tools necessary to identify the weakest link in fraud prevention caused by social engineering and learn how to mitigate it, using critical thinking, and collaboration with key stakeholders in the fight against bad actors. It is taught by Elena Michaeli, CFE and an experienced fraud professional SME who has a decade of experience proactively combating fraud, building and implementing fraud risk strategies, and products in eCommerce, Fintech, and Military Intelligence Forces.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 can change in an instant. Understanding the neuroscience of social engineering and the implications on fraud is important in detecting and preventing the loss of assets.The course provides guidance and examples to understand why the human mind is affected by culture and biases and what drives malicious social engineering, which will enable companies to develop and improve fraud strategies, processes and even reconstruct current workflows, requirements, and other decisions to combat fraud better.

Overview

Section 1: Introduction

Lecture 1 Introduction

Section 2: The designated fraud fighter

Lecture 2 Which skill makes a fraud fighter a successful examiner?

Section 3: Information Security and Social Engineering

Lecture 3 Information Security and Social Engineering

Section 4: Cybersecurity and Fraud Prevention

Lecture 4 Collaboration between cybersecurity and fraud prevention stakeholders

Section 5: Cognitive Biases and Heuristics

Lecture 5 Biases and how they affect our decision making process

Lecture 6 Cognitive Miserliness explanation

Section 6: Artificial Intelligence & Machine learning in the Fraud world

Lecture 7 AI, ML and Fraud Prevention

Section 7: Key Takeaways

Lecture 8 Key Takeaways

Section 8: Bonus lecture

Lecture 9 Fantastic sources to explore

Fraud fighters,CFEs,Fraud investigators and examiners,Auditors,Fraud prevention professionals,Trust & Safety professionals,Risk consultants,Payments professionals,Security engineers,Management and C-Suite roles (CFO, CISO, GC),Fraud prevention, trust & safety roles recruiters