About this webinar

Fraud, financial crime, and misconduct increasingly occur within complex digital environments where traditional investigative methods alone are no longer sufficient. Artificial intelligence, machine learning, and advanced cybersecurity techniques now play a central role in identifying anomalies, detecting cyber-enabled fraud, and preserving digital evidence—but they also introduce new risks, blind spots, and governance challenges for investigators and auditors.

This program explores how AI and cybersecurity intersect with modern fraud examination and forensic accounting. It examines how machine learning models identify suspicious patterns, how cyber incidents enable or conceal financial misconduct, and how investigators can leverage technical tools without over-relying on opaque or poorly governed systems.

Designed for experienced practitioners, the session focuses on practical application rather than theory, helping participants understand where AI adds real investigative value, where human judgment remains critical, and how to assess reliability, evidentiary integrity, and risk in technology-driven investigations.

Key Topics Discussed:

The role of artificial intelligence and machine learning in modern fraud detection
Using data analytics to identify suspicious patterns and financial anomalies
Cybersecurity threats that enable or conceal fraud and financial misconduct
The intersection of cyber investigations and forensic accounting
Digital evidence collection, preservation, and evidentiary integrity
Evaluating the reliability and limitations of AI-driven investigative tools
Human judgment and oversight in technology-assisted investigations
AI governance, transparency, and accountability considerations
Data quality, privacy, and integrity risks in forensic analysis
Practical approaches for integrating cyber and financial evidence
Emerging trends in AI-enabled fraud, financial crime, and investigation methods
Best practices for managing technology risks in forensic accounting and audit processes

This webinar includes:

verifiedCertificate of completion

scheduleNo preparation required

bar_chartAppropriate for all levels

lock1 year access

infoNo prerequisites

Meet Our Expert Speakers

INSTRUCTOR

Christopher A. Ramezan•Assistant Professor of Cybersecurity | West Virginia University

Dr. Christopher Ramezan is an Assistant Professor of Management Information Systems and Cybersecurity in the MIS Department, and serves as coordinator for the Business Cybersecurity Management Masters...

Credit Information

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Cyber Threats, AI, and Modern Financial Investigations