CFO Series: How The AI Advantage Gives Fraudsters an Edge

Overview

Artificial intelligence is dramatically improving fraud. Financial functions have always been a primary target for fraud. Payment approvals, vendor management, journal entries, and financial reporting processes all rely on trust, communication, and documentation. AI is making it easier to exploit each of these. Fraudsters can generate realistic emails, clone voices, fabricate supporting documentation, and create highly targeted scams that are harder to detect than ever before. At the same time, internal actors can use AI to conceal activity, justify transactions, and produce convincing narratives that withstand traditional review. Learn how red flags are evolving and practical steps to strengthen detection and prevention. Do not be caught unaware!

Highlights

The major topics that will be covered in this course include:

• Why has finance become the primary target for AI-enabled fraud?
• How do fraudsters use AI to make scams more convincing?
• Deepfakes, voice cloning, and synthetic documents
• Why are traditional fraud detection techniques becoming less effective?
• Emerging fraud indicators every finance professional should recognize
• Practical steps to strengthen prevention and detection

Prerequisites

Preferably at least six (6) months of professional financial statement analysis experience and/or at least six (6) months of professional experience in preparing or reviewing accounting processes and reports; experience working with internal clients or ex

Designed For

Financial leaders, financial managers, CEOs, CFOs, controllers, accountants, board members, advisors, and consultants; CPAs in public practice and CPAs in industry; business owners, entrepreneurs and professionals who are interested in realizing more valu

Objectives

After attending this presentation, you will be able to...

• Identify how AI is being used to execute and enhance fraud
• Recognize how finance functions are specifically targeted by AI-enabled fraud
• Distinguish between internal and external AI-driven fraud risks
• Evaluate why traditional fraud detection methods may no longer be sufficient?
• Identify emerging red flags in AI-assisted fraud
• Apply practical techniques to strengthen fraud prevention and detection within finance processes

Preparation

None