Fraud Investigation Course

Lesson 1 • The Fraud Triangle and Diamond

Explains motivational models that explain why fraud occurs. Connects perpetrator psychology to detection and prevention strategies.

Lesson 2 • Defining Fraud and Its Elements

Covers the legal and conceptual elements that constitute fraud. Anchors all subsequent scheme analysis in a shared definitional framework.

Lesson 3 • The Investigator's Role and Ethics

Defines professional responsibilities, ethical boundaries, and independence requirements. Sets behavioural standards upheld throughout all investigative work.

Lesson 4 • Overview of the Investigation Lifecycle

Introduces the end-to-end investigation process from allegation to reporting. Orients students to the workflow structure used in all core chapters.

Lesson 1 • Sources of Investigative Authority

Distinguishes internal, regulatory, and law enforcement authority. Clarifies who may investigate, under what mandate, and with what limitations.

Lesson 2 • Privilege and Confidentiality Protections

Covers attorney-client privilege, work-product doctrine, and investigative confidentiality. Guides structuring of investigations to preserve legal protections.

Lesson 3 • Privacy, Data Protection, and Surveillance Law

Addresses legal constraints on data access, monitoring, and surveillance. Prevents investigators from obtaining evidence through unlawful means.

Lesson 4 • Evidentiary Standards and Admissibility

Explains standards of proof and rules governing admissible evidence. Directly informs how investigators collect and preserve evidence.

Lesson 1 • Chain of Custody Management

Establishes procedures for tracking evidence from collection to presentation. Prevents admissibility challenges caused by custody gaps.

Lesson 2 • Evidence Preservation and Legal Holds

Explains legal hold obligations and evidence preservation strategies. Protects organisations from spoliation claims during active investigations.

Lesson 3 • Digital Evidence Acquisition

Covers forensically sound methods for capturing electronic data. Ensures digital evidence survives legal challenge through proper acquisition.

Lesson 4 • Document Examination and Authentication

Teaches methods for verifying document authenticity and detecting alterations. Directly supports financial record analysis in later chapters.

Lesson 1 • Reconstructing Financial Activity

Teaches net worth, bank deposit, and expenditure methods to reconstruct income. Supports cases where direct evidence of fraud is incomplete.

Lesson 2 • Reading Financial Statements for Fraud

Teaches interpretation of income statements, balance sheets, and cash flow reports. Identifies structural anomalies that signal manipulation.

Lesson 3 • Transaction Testing and Sampling

Covers statistical and judgemental sampling to test transaction populations. Enables efficient fraud detection across large data sets.

Lesson 4 • Benford's Law and Anomaly Detection

Applies Benford's Law to detect fabricated or manipulated numerical data. Introduces data-driven anomaly detection as a core analytical tool.

Lesson 1 • Structured Interviewing of Subjects

Teaches non-coercive, structured approaches for interviewing fraud suspects. Balances information gathering with legal and ethical constraints.

Lesson 2 • Cognitive Interview Techniques

Applies cognitive interview methods to maximise accurate recall from witnesses. Reduces contamination and improves completeness of witness accounts.

Lesson 3 • Documenting and Recording Interviews

Covers note-taking, recording consent, and memorandum of interview preparation. Ensures interview outputs are accurate and legally defensible.

Lesson 4 • Interview Planning and Preparation

Covers pre-interview research, objective setting, and question design. Preparation quality directly determines the depth of information obtained.

Lesson 1 • Cyber Fraud Scheme Investigation

Applies digital forensic skills to specific cyber fraud types including phishing and BEC. Integrates technical and financial analysis for complete case development.

Lesson 2 • Digital Forensics Fundamentals

Introduces forensic principles, tools, and the scientific method applied to digital evidence. Establishes the technical foundation for all digital investigation work.

Lesson 3 • Network and Log Analysis

Covers analysis of network logs, access records, and system event data. Reconstructs unauthorised access and data exfiltration timelines.

Lesson 4 • Cryptocurrency and Blockchain Tracing

Introduces blockchain transaction tracing and virtual asset investigation methods. Addresses the growing use of cryptocurrency in fraud and money laundering.

Lesson 1 • Quality Control and Peer Review

Introduces review processes that verify accuracy, completeness, and objectivity. Quality control reduces errors before findings are reported or acted upon.

Lesson 2 • Managing Investigation Teams

Addresses team structure, role assignment, and cross-functional coordination. Effective team management sustains investigation quality across complex cases.

Lesson 3 • Stakeholder Communication During Investigations

Covers protocols for updating management, legal counsel, and regulators. Controlled communication protects investigation integrity and manages expectations.

Lesson 4 • Investigation Planning and Scoping

Covers hypothesis development, scope definition, and resource allocation. A disciplined plan prevents scope creep and ensures efficient evidence targeting.

Lesson 1 • Investigation Report Structure and Standards

Defines the components, tone, and evidentiary standards of a professional fraud report. A well-structured report withstands legal scrutiny and drives action.

Lesson 2 • Remediation and Control Enhancement

Guides development of corrective actions and control improvements post-investigation. Remediation closes vulnerabilities and reduces recurrence risk.

Lesson 3 • Regulatory Reporting and Disclosure

Addresses mandatory reporting obligations to regulators and law enforcement. Timely, accurate disclosure limits organisational liability and meets legal duties.

Lesson 4 • Writing Findings Clearly and Objectively

Teaches precise, neutral language for describing fraud findings and supporting evidence. Objectivity protects the investigator and the organisation from challenge.