+254 721 331 808    training@upskilldevelopment.com

Fraud Detection, Control and Prevention Course

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Online Training Registration

Training Mode Platform Fee Enroll
Online Training Zoom/ Google Meet 1,740USD Register

Classroom/On-site Training Schedule

Course Date Location Fee Enroll
13/04/2026 to 24/04/2026 Nairobi 2,900 USD Register
11/05/2026 to 22/05/2026 Nairobi 2,900 USD Register
11/05/2026 to 22/05/2026 Mombasa 3,400 USD Register
08/06/2026 to 19/06/2026 Nairobi 2,900 USD Register
13/07/2026 to 24/07/2026 Nairobi 2,900 USD Register
13/07/2026 to 24/07/2026 Mombasa 3,400 USD Register
10/08/2026 to 21/08/2026 Nairobi 2,900 USD Register
10/08/2026 to 21/08/2026 Mombasa 3,400 USD Register
14/09/2026 to 25/09/2026 Nairobi 2,900 USD Register
14/09/2026 to 25/09/2026 Mombasa 3,400 USD Register
12/10/2026 to 23/10/2026 Nairobi 2,900 USD Register
09/11/2026 to 20/11/2026 Nairobi 2,900 USD Register
09/11/2026 to 20/11/2026 Mombasa 3,400 USD Register
07/12/2026 to 18/12/2026 Nairobi 2,900 USD Register
14/12/2026 to 25/12/2026 Mombasa 3,400 USD Register

Introduction

In an increasingly complex and digitally driven business environment, the risk of fraud has become more prevalent and sophisticated. The Fraud Detection, Control and Prevention Course is designed to provide participants with the knowledge and tools necessary to identify vulnerabilities, detect suspicious activities, and implement robust controls to protect organizational assets. This course empowers professionals to play a proactive role in safeguarding institutions against both internal and external fraud threats.

Participants will gain a solid understanding of the various types of occupational, financial, and cyber fraud, along with their warning signs and root causes. Through case studies and practical exercises, the course will explore how fraud schemes are perpetrated, the behavioral red flags of fraudsters, and the financial and reputational implications of unchecked fraudulent activity. The course also emphasizes the importance of ethics, integrity, and a strong internal control culture.

A key component of the training focuses on the design and implementation of effective fraud prevention frameworks, including internal control systems, risk assessments, whistleblower mechanisms, and fraud response plans. Participants will learn how to conduct fraud risk assessments, apply data analytics in detecting anomalies, and ensure compliance with legal and regulatory requirements. Real-world tools and technologies for fraud monitoring and control will also be explored.

Whether you are an auditor, finance officer, compliance professional, or risk manager, this course will enhance your ability to detect, deter, and respond to fraud efficiently and ethically. It is particularly valuable for professionals tasked with building resilient systems and fostering organizational cultures that emphasize transparency, accountability, and zero tolerance for fraud.

Course duration

10 days

Who should attend?

This course is suitable to:

·       Internal and external auditors who need to strengthen their fraud detection and risk assessment capabilities

·       Finance and accounting professionals responsible for financial reporting, internal controls, and compliance

·       Risk and compliance officers charged with preventing fraudulent activities and ensuring regulatory adherence

·       Corporate governance professionals, including board members and audit committee members, involved in oversight functions

·       Law enforcement officers, investigators, and legal professionals working on fraud-related cases

·       Human resource personnel handling whistleblower programs and employee investigations

·       IT and cybersecurity professionals focused on detecting and preventing digital and cyber-enabled fraud

·       Managers and business owners seeking to build a culture of integrity and accountability within their teams

Course Objectives

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

·       Understand the nature, types, and causes of fraud in various organizational contexts, including financial, occupational, and cyber-related fraud.

·       Identify common fraud schemes and red flags, and recognize behavioral indicators of potential fraudulent activity.

·       Assess fraud risks across different business functions using structured risk assessment methodologies and tools.

·       Design and implement effective internal control systems aimed at deterring, detecting, and responding to fraud.

·       Apply data analysis and investigative techniques to detect anomalies and suspicious transactions.

·       Develop and enforce anti-fraud policies, procedures, and response strategies, in alignment with regulatory and industry best practices.

·       Understand the legal and regulatory framework surrounding fraud prevention and compliance obligations.

·       Foster an ethical organizational culture that promotes transparency, accountability, and zero tolerance for fraudulent behavior.

·       Utilize technology and fraud detection tools, including digital surveillance, forensic software, and automated alerts.

·       Handle whistleblower reports and conduct preliminary investigations in a confidential and professional manner.

·       Prepare and present fraud findings clearly and effectively to management, regulators, or legal authorities.

Course outline
Module 1: Understanding Fraud – Nature, Types, and Implications

  • Overview of fraud in modern organizations
  • Key types of fraud: asset misappropriation, bribery, corruption, money laundering, cyber fraud, and financial reporting fraud
  • Understanding occupational fraud and white-collar crime
  • Motivations and opportunities behind fraud (Fraud Triangle & Diamond)
  • Quantifying fraud losses and legal, financial, and reputational impacts
  • Directors’ and managers’ fiduciary responsibilities in fraud oversight

Module 2: Causes and Psychology of Fraud

  • Psychological drivers of fraudulent behavior
  • Pressure, opportunity, and rationalization explained with real-world examples
  • Cultural, environmental, and organizational factors that enable fraud
  • Emerging risks: remote work environments, third-party vendors, ESG fraud

Module 3: Fraud Detection Techniques – Traditional and Emerging

  • Introduction to fraud detection analytics and tools
  • Regression analysis and trend spotting
  • Decision trees and classification models
  • Neural networks and machine learning basics for fraud detection
  • Bayesian networks and Support Vector Machines (SVMs)
  • Using automation and AI to flag anomalies and high-risk transactions
  • Building fraud detection models in Python or Excel

Module 4: Detecting Financial Statement Fraud

  • Techniques: Vertical and horizontal financial statement analysis
  • Comparative ratio analysis and benchmarking
  • Identifying manipulations in revenue recognition, asset valuation, and liabilities
  • Red flags in cash flow inconsistencies and unusual journal entries
  • Earnings management and financial engineering schemes

Module 5: Fraud Risk Assessment and Investigation

  • Indicators of fraudulent activity and behavior
  • Designing and conducting fraud risk assessments
  • Identifying and interpreting red flags across departments
  • Steps in initiating and managing fraud investigations
  • Overview of forensic auditing procedures and documentation
  • Case study: Internal investigation lifecycle from detection to reporting

Module 6: Preventing Fraud through Internal Controls and Governance

  • COSO Internal Control Framework – components and application
  • Preventive, detective, and corrective control mechanisms
  • Control breakdowns and systems development risks
  • Role of internal audit, compliance, and oversight committees
  • Information security and fraud prevention in IT systems
  • Building a fraud-conscious organizational culture

Module 7: Excel & Data Analytics for Fraud Detection

  • Using Excel for anomaly detection:
    • Largest growth test
    • Largest subsets test
    • Relative size factor test
    • Same-same-same (SSS) and same-same-different (SSD) tests
    • Subset duplication detection
  • Time-series and correlation analysis to identify irregularities
  • Introduction to using Excel macros and pivot tables in investigations

Module 8: Cyber and Digital Fraud

  • Overview of cyber-enabled fraud (phishing, ransomware, business email compromise)
  • Identity theft, digital payment fraud, and cryptocurrency-related schemes
  • Best practices in securing financial systems and digital data
  • Cybersecurity controls and integration with fraud risk management
  • Using digital forensics tools in fraud investigations

Module 9: Ethics, Whistleblowing, and Awareness

  • Fostering a culture of ethics and accountability
  • Designing and enforcing anti-fraud and ethics policies
  • Implementing secure and anonymous whistleblower reporting systems
  • Responding to whistleblower reports: confidentiality and action steps
  • Training and awareness initiatives to prevent fraud at all levels

Module 10: Organizational Fraud Response and Legal Considerations

  • Framework for organizational fraud response
  • Collaboration with legal teams, regulators, and law enforcement
  • Documentation of findings and reporting protocols
  • Preparing for audits, external investigations, and litigation
  • Lessons learned from high-profile fraud cases and regulatory actions

Training Approach

This course will be delivered by our skilled trainers who have vast knowledge and experience as expert professionals in the fields. The course is taught in English and through a mix of theory, practical activities, group discussion, and case studies. Course manuals and additional training materials will be provided to the participants upon completion of the training.

Tailor-Made Course

This course can also be tailor-made to meet organization requirements. For further inquiries, please contact us on Email: training@upskilldevelopment.com Tel: +254 721 331 808

Certification

Participants will be issued with Upskill certificate upon completion of this course.

Airport Pickup and Accommodation

Airport pickup and accommodation are arranged upon request. For booking contact our Training Coordinator through Email: training@upskilltrainingcenter.com, +254 721 331 808

Terms of Payment

Unless otherwise agreed between the two parties payment of the course fee should be done at least 3 working days before commencement of the training so as to enable us to prepare better

Online Training Registration

Training Mode Platform Fee Enroll
Online Training Zoom/ Google Meet 1,740USD Register

Classroom/On-site Training Schedule

Course Date Location Fee Enroll
13/04/2026 to 24/04/2026 Nairobi 2,900 USD Register
11/05/2026 to 22/05/2026 Nairobi 2,900 USD Register
11/05/2026 to 22/05/2026 Mombasa 3,400 USD Register
08/06/2026 to 19/06/2026 Nairobi 2,900 USD Register
13/07/2026 to 24/07/2026 Nairobi 2,900 USD Register
13/07/2026 to 24/07/2026 Mombasa 3,400 USD Register
10/08/2026 to 21/08/2026 Nairobi 2,900 USD Register
10/08/2026 to 21/08/2026 Mombasa 3,400 USD Register
14/09/2026 to 25/09/2026 Nairobi 2,900 USD Register
14/09/2026 to 25/09/2026 Mombasa 3,400 USD Register
12/10/2026 to 23/10/2026 Nairobi 2,900 USD Register
09/11/2026 to 20/11/2026 Nairobi 2,900 USD Register
09/11/2026 to 20/11/2026 Mombasa 3,400 USD Register
07/12/2026 to 18/12/2026 Nairobi 2,900 USD Register
14/12/2026 to 25/12/2026 Mombasa 3,400 USD Register

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