Fraud prevention, detection, and investigation training: risk evaluation, prevention techniques, data mining, and legal considerations.
| Date | Venue | Duration | |
|---|---|---|---|
| 28 September - 02 October 2026 | Cape Town | 5 Days | |
| 09 - 13 November 2026 | Sandton | 5 Days |
Prospen Africa’s Fraud Prevention, Detection, and Investigation Training course is designed to equip organizations across all business sectors with a deeper understanding of the risks posed by fraud. It will detail strategies for dealing with these threats and bolstering organizational resilience. Participants will gain insights into the breadth and impact of fraud risks, especially on business reputation, learn to identify a range of fraud indicators, and develop a cost-effective balance between prevention and detection. Crucial legal implications and the imperative for constant vigilance will also be covered, culminating in the development of an anti-fraud policy.
By the end of this Fraud Prevention, Detection, and Investigation training, delegates will be able to:
Critically evaluate and challenge management’s fraud risk assessments
Understand the mindset of a fraudster to better anticipate fraudulent activity
Implement proven techniques for fraud prevention
Foster an effective fraud prevention culture within their organizations
Utilize data mining as a key tool in fraud prevention and detection
Conduct thorough and effective fraud investigations
Sharpen their audit skills for fraud detection
Recognize dishonesty and deception in communications
Security supervisors and managers
Appointed Fraud Specialists
Managers seeking to deepen their understanding of fraud investigation
Auditors interested in modern fraud prevention and investigation methods
Fraud team members focusing on internal fraud
Managers looking to enhance fraud prevention and detection skills
Our diverse instructional approaches ensure effective learning:
– Lectures & Presentations: Engage with expert-driven, stimulating content.
– Course Material: Access well-crafted supporting resources.
– Group Work: Collaborate on discussions and case studies for practical insights.
– Workshops & Role-Play: Participate in immersive, scenario-based activities.
– Practical Application: Focus on applying theoretical knowledge in real situations.
– Post-Training Support: Receive extensive support after training for skill implementation.
Fraud Detection and Investigation
Session 1 – Understanding Fraud
Definitions and startling statistics
Discussion on the serious nature of fraud
Insights from ACFE Fraud Surveys
The financial impact of fraud on organizations
Session 2 – Evaluating Fraud Risks
Overview of managing business risk of fraud
Six principles for an effective Fraud Risk Management Program
Building a comprehensive picture of major fraud risks, including supplier and outsourcing fraud
Fraud Risk Matrix and scenario planning
Session 3 – IT Fraud Risks
Strategies for computer fraud prevention
Mitigating key fraud risks in E-Commerce
Internet and Intranet fraud risks and prevention strategies
Ensuring IT security effectiveness
Session 4 – Corruption Risks
Causes and indicators of corruption
Recognizing and addressing procurement fraud risks
Developing a Fraud Prevention Process
Session 5 – Fraud Mitigation
Evaluation and mitigation of fraud risks
Identifying and fortifying vulnerable areas within organizational processes
Session 6 – Procurement Fraud
Exploring tendering and bidding processes
Identifying and addressing common indicators of supplier and outsourcing fraud
Providing a checklist for procurement fraud prevention
Session 7 – Effective Anti-Fraud Policies
Development of a Fraud Awareness Training Program
Communicating expected ethical standards and behaviour
Establishing electronic data and asset protection measures
Session 8 – Anti-Money Laundering
Discussing the intersection of fraud, risk, and control
Clarifying the roles, responsibilities, and liabilities of stakeholders
Advanced Fraud Detection and Investigation Techniques
Session 9 – Fraud Detection Tools and Techniques
Utilizing Computer Assisted Audit Techniques (CAATs)
Data mining as a fraud detection tool
Fraud profiling and risk scoring strategies
Session 10 – Legal Considerations in Fraud Investigations
Navigating legal aspects and ensuring evidence admissibility
Strategies for recovering stolen assets and managing disciplinary proceedings
Planning and managing fraud investigations discretely and effectively
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