Explore fraud investigation methods. Learn about deception, false records, financial trails, laundering, hidden ownership, and suspect behaviour. Strengthen evidence review, prevention, accountability, and defensible fraud findings today clearly.
The BEHAVE Investigative Framework by Alan Elangovan helps investigators connect behaviour, evidence, motive, timeline, vulnerability, risk, and findings. It supports fair, structured, evidence-based investigations by reducing bias, improving risk assessment, strengthening report writing, and helping investigators reach clear, defensible conclusions across criminal, workplace, school, healthcare, and security cases.
The Case Theory Model, influenced by Legal Practice, involves constructing a coherent narrative explaining how and why an event occurred. It guides investigators in organising evidence, testing hypotheses, and aligning facts with legal elements, ensuring cases are logically structured, persuasive, and capable of withstanding legal scrutiny.
The Investigative Cycle Model, grounded in Investigative Practice, outlines a structured process from information gathering to analysis, action, and review. It helps investigators manage cases systematically, ensure evidence-based decisions, and continuously refine strategies, supporting effective, accountable, and adaptable investigations across diverse operational contexts.
The Pierre Margot Forensic Intelligence Model integrates forensic science with intelligence analysis to support proactive investigations. It uses trace evidence, patterns, and data interpretation to identify links between crimes, support decision-making, and enhance crime prevention, moving beyond traditional reactive forensic approaches toward strategic investigative intelligence.
The Undercover Operations Model, based on Law Enforcement practice, involves covert infiltration to gather evidence and intelligence. It focuses on identity creation, role immersion, and controlled engagement with suspects, enabling investigators to uncover hidden activities, disrupt criminal networks, and support prosecutions while maintaining operational security and legal compliance.
The OSINT Investigation Model, influenced by Michael Bazzell, focuses on collecting and analysing publicly available information from digital and open sources. It supports investigators in identifying leads, verifying identities, tracking activities, and gathering intelligence ethically, enhancing investigative efficiency in cyber, financial, and criminal investigations.
The Beneficial Ownership Analysis Model, guided by Financial Action Task Force standards, identifies the true individuals controlling assets or entities behind complex structures. It supports investigations into money laundering, corruption, and tax evasion by uncovering hidden ownership, enhancing transparency, and enabling effective enforcement and asset recovery actions.
The Asset Tracing Model, influenced by Financial Investigation practices, focuses on identifying, tracking, and recovering assets linked to criminal activity. It analyses financial trails, ownership structures, and transactions, enabling investigators to uncover hidden wealth, support prosecution, and facilitate asset recovery in fraud, corruption, and money laundering cases.
The Financial Profiling Model, influenced by Forensic Accounting practices, analyses financial behaviours, transaction patterns, and asset movements to detect irregularities. It supports investigators in identifying fraud, money laundering, and illicit enrichment, enabling evidence-based tracing of funds, financial reconstruction, and strategic decision-making in complex financial investigations.
The Stanley Wasserman and Katherine Faust Social Network Analysis Model examines relationships, structures, and interactions within networks. It helps investigators map connections, identify influential actors, detect hidden groups, and analyse information flow, supporting intelligence-led investigations, disruption of criminal networks, and strategic decision-making in complex investigative environments.
The Harrison C. White Network Analysis Model examines relationships and interactions within criminal networks. It identifies key actors, communication patterns, and influence structures, enabling investigators to disrupt organized crime, uncover hidden connections, and target critical nodes, enhancing intelligence-led operations and strategic decision-making in complex investigative environments.
The Root Cause Analysis influenced by Kaoru Ishikawa identifies underlying causes of problems through systematic investigation, using tools like fishbone diagrams and “5 Whys,” enabling effective corrective actions, prevention of recurrence, and continuous improvement in processes and investigations.
The Hypothesis Testing Model developed by Karl Popper emphasizes forming testable hypotheses and attempting to falsify them through evidence, enabling objective analysis, critical thinking, and systematic validation of conclusions in investigative and scientific inquiry.
The 5W1H Analysis Model influenced by Rudyard Kipling uses six key questions—Who, What, When, Where, Why, and How—to systematically gather information, structure analysis, and ensure comprehensive understanding in investigations, problem-solving, and decision-making processes.
The Evidence Lifecycle Model influenced by forensic science practice outlines the stages of evidence from identification and collection to analysis, storage, presentation, and disposal, ensuring integrity, traceability, and compliance throughout the investigative and judicial process.
The Chain of Custody Model influenced by legal practice standards documents the chronological handling, transfer, and storage of evidence, ensuring integrity, authenticity, and accountability, thereby maintaining admissibility in court and preventing contamination, tampering, or loss throughout the investigative process.
The NIST Digital Forensics Framework developed by the National Institute of Standards and Technology provides a structured process for collection, examination, analysis, and reporting of digital evidence, ensuring consistency, reliability, and legal defensibility in forensic investigations.
The ACPO Digital Evidence Model developed by the Association of Chief Police Officers establishes principles for handling digital evidence, emphasizing preservation, integrity, audit trails, and lawful access to ensure admissibility and reliability in forensic investigations.
The Digital Forensic Investigation Model developed by Eoghan Casey provides a structured approach to identifying, preserving, analyzing, and presenting digital evidence, ensuring integrity, reproducibility, and legal admissibility in investigations involving electronic devices and cyber-related activities.
The Follow-the-Money Model influenced by financial investigation practice traces the flow of funds across accounts, entities, and jurisdictions to uncover illicit activities, identify beneficiaries, establish evidential links, and support asset recovery, prosecution, and disruption of criminal financial networks.
The Money Laundering Cycle Model influenced by the Financial Action Task Force describes the three stages of laundering—placement, layering, and integration—highlighting how illicit funds are introduced, concealed, and legitimized, guiding detection, compliance, and prevention strategies in financial investigations.
The Fraud Pentagon Model developed by Jonathan Marks builds on earlier models by incorporating pressure, opportunity, rationalization, capability, and arrogance, explaining how ego and power influence fraudulent behavior, supporting more comprehensive fraud risk assessment and prevention strategies.
The Fraud Diamond Model developed by David T. Wolfe and Dana R. Hermanson extends the Fraud Triangle by adding capability, emphasizing that individuals must possess skills and position to exploit opportunities, enhancing fraud detection and prevention strategies.
The Fraud Triangle Model developed by Donald R. Cressey explains fraud through three elements—pressure, opportunity, and rationalization—highlighting how individuals justify dishonest acts, guiding prevention strategies by reducing opportunities, addressing pressures, and strengthening ethical controls within organizations.
The Fishbone Model developed by Kaoru Ishikawa visually maps potential causes of a problem across categories such as people, process, materials, and environment, enabling systematic root cause analysis, structured thinking, and identification of contributing factors for effective problem-solving.
The Timeline Analysis Model influenced by forensic investigation practices organizes events chronologically to reconstruct incidents, identify gaps, detect inconsistencies, and establish sequences of actions, enabling investigators to understand case progression, corroborate evidence, and support accurate investigative conclusions.
The Link Analysis Model influenced by Anacapa Sciences and IBM i2 visualizes relationships between people, events, and entities, enabling investigators to identify networks, patterns, and hidden connections, supporting intelligence-led investigations and strategic decision-making.
The Strategic Use of Evidence Model developed by Pär Anders Granhag and Leif A. Strömwall emphasizes withholding and gradually disclosing evidence to elicit inconsistencies, enhance deception detection, and improve the accuracy of suspect interviews through strategic questioning.
The SCAN Technique developed by Avinoam Sapir analyzes written or verbal statements for linguistic cues, changes in language patterns, and psychological indicators to detect deception, reveal missing information, and guide investigators in targeted, effective follow-up questioning.
The Forensic Statement Analysis developed by Avinoam Sapir examines linguistic patterns, word choice, and statement structure to assess credibility, identify deception indicators, and uncover concealed information, supporting investigators in evaluating truthfulness and guiding follow-up questioning strategies.
