Methodology:

Interactive presentations with real-world examples

Hands-on exercises using data analysis software

Case studies on fraud detection scenarios

Group workshops for designing audit tests and scenarios

Course Objectives:

By the end of the course, participants will be able to:

Understand the types and techniques of digital fraud

Apply IT tools to enhance audit and monitoring processes

Analyze data to detect fraud indicators and anomalies

Develop early warning systems within the organization

Prepare digital audit reports to support internal investigations

Design electronic audit tests to uncover fraud

Use tools like Excel, ACL, and IDEA for audit analytics

Analyze databases for duplication, manipulation, or irregularities

Collaborate with IT and cybersecurity teams

Prepare forensic audit reports with digital evidence

Target Audience:

Internal and external auditors

Fraud detection and prevention officers

Data analytics professionals in compliance roles

Cybersecurity and internal control staff

Legal and financial departments in large organizations

Target Competencies:

Big data analysis and interpretation

Linking financial behavior with digital analytics

Designing data-driven audit tests

Forensic reporting and documentation

Knowledge of automated auditing and review software