
Explore the neural analytics of fraud, profiling and adapting against expert level deceptive behavior, and learn the unique skills needed for fraud prevention in cyber intelligence, e-commerce, and fintech.
Develop critical thinking as a fraud examiner by leveraging data analysis, recognizing biases like fluency bias, and proactively identifying behavioral cues to prevent fraud.
Explore how social engineering uses emotional manipulation, phishing, spoofing, and Osint to steal information and money, and how professionals apply critical thinking and basic access controls.
Explore how cybersecurity and fraud prevention collaborate to protect systems, data, and identities against phishing, account takeover, and financial fraud.
Explore how cognitive biases and heuristics shape decision making, from confirmation and fluency biases to representativeness, cognitive miserliness, and Dunning-Kruger in fraud investigations.
Explore cognitive miserliness and outcome bias, showing how mental shortcuts conserve brain energy in investigations. A classic logic puzzle illustrates how easy-to-see possibilities bias reasoning and undermine unbiased analysis.
Explore how AI and machine learning aid fraud prevention while highlighting groupthink bias, the need for human analysis, behavioral profiling, and testing to build robust anti-fraud systems.
Explore how morals shape fraud and abuse, why predicting behavior is hard, and how security, trust, and collaboration between cybersecurity and fraud teams guard customer experience.
Explore the neural analytics of fraud, profiling and adapting to expert-level deception, guided by readings on biases and the deceptive mind, and future fraud-cybersecurity collaborations.
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.
Identifying, analyzing and adapting to the digital threat landscape is complex, since at its core it's geared towards the manipulation of human psychology. While AI has produced effective fingerprinting results and automation capabilities, it is unable to mitigate social engineering. Contrary to common belief, social engineering isn't an exclusive cyber attack technique. It's the act of manipulating someone into doing something, and it happens daily in nearly every aspect of life. This same manipulation is what underlies most scams, cyber attacks and identity theft, which is why no amount of automation can neutralize an approach aimed at human judgment, where behavior is irrational and can change in an instant. The outcome of applying AI without fundamentals is an environment that inadvertently becomes a cesspool of fraud and scams.
You will learn how behavioral science is applied to strengthen decision-making, protect against bad actors, and help organizations reconstruct workflows and decision frameworks for effective fraud prevention.
This course is ideal for:
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.
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.
Fraud, risk, security, legal, investigative, and compliance practitioners who wish to deepen their understanding of how psychology and social engineering drive fraud and crime.
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 with over 15 years of experience proactively combating fraud, and building, implementing, and leading risk strategies, systems, and product development across eCommerce, Fintech, and Military Intelligence Forces.