About the Course
In an era where criminal networks leverage automation and digital obfuscation, organizations require more than just reactive monitoring; they need a structured system for proactive detection. This course transforms scattered data points into a comprehensive intelligence map, allowing you to visualize the flow of illicit funds and the hidden actors behind them. You will develop the capability to demonstrate Link Analysis proficiency, execute Social Network Analysis metrics, perform OSINT-based entity resolution, apply Benford's Law to large datasets, and construct behavioral red-flag matrices. We move beyond theory to provide hands-on experience with industry-standard visualization methodologies and forensic frameworks. You will learn to distinguish between coincidental connections and deliberate criminal collusion, ensuring your investigations are both accurate and defensible.
The curriculum is specifically designed for professionals operating under high-stakes conditions where budget constraints and regulatory acceleration demand maximum efficiency. You will be introduced to the conceptual foundations of network theory before moving into intensive workshops where you will practice mapping real-world fraud scenarios. We acknowledge the complexity of modern data ecosystems, providing you with the tools to handle unstructured data and digital footprints across various jurisdictions. This course teaches you how to build a scalable fraud detection framework using evidence-based strategies so you can report findings with absolute confidence to leadership and law enforcement agencies.
Target Audience
This intermediate-level program is essential for professionals tasked with identifying, investigating, and mitigating complex fraud risks within corporate, financial, and regulatory environments.
This course is designed for:
- Forensic Accounting Specialists managing complex financial investigations
- AML Compliance Officers overseeing suspicious activity reporting
- Internal Audit Managers evaluating anti-fraud control effectiveness
- Corporate Fraud Investigators tracking internal procurement irregularities
- Cybercrime Analysts identifying digital footprints in financial breaches
- Risk Management Directors developing organizational resilience strategies
- Financial Intelligence Unit (FIU) Analysts mapping criminal syndicates
- Legal Counsel specializing in white-collar crime and litigation
- Supply Chain Risk Analysts detecting vendor collusion networks
- Regulatory Enforcement Officers conducting multi-jurisdictional fraud inquiries
Course Objectives
This course equips you to design, execute, and report Fraud Network Mapping initiatives that improve detection rates, ensure regulatory compliance, and drive strategic risk mitigation.
By the end of this course, you'll be able to:
- Analyze complex datasets to identify hidden relationships using Link Analysis
- Apply Social Network Analysis (SNA) metrics to determine network centrality
- Construct comprehensive fraud entity profiles using OSINT and internal data
- Evaluate financial anomalies using Benford's Law and digital forensic tools
- Design multi-layered network maps that visualize illicit fund flows
- Navigate the psychological drivers of fraud using the Fraud Diamond
- Implement automated monitoring workflows for real-time behavioral red-flag detection
- Synthesize investigative findings into credible reports for executive stakeholders
Requirements & Prerequisites
Participants should have at least 2 years of experience in audit, compliance, or investigation. Familiarity with basic data analysis tools (such as Excel) is required. Prior exposure to the ACFE® Fraud Examiners Manual or similar forensic frameworks is recommended but not mandatory.
Local Application and Business Return
How participants can apply the training in local operating conditions, and the return their organisation can plan for.
How participants apply this
Expected ROI
Training Methodology
This is a practical, outcome-driven course designed to turn fraud detection aspirations into measurable action and credible reporting.
Methodology includes:
- Hands-on calculation of network density using Social Network Analysis tools
- Scenario simulation involving a multi-layered vendor collusion scheme
- Audit of internal datasets using a Benford's Law diagnostic checklist
- Stakeholder mapping exercise to align investigative findings with reporting chains
- Case study analysis from the banking, insurance, and government sectors
- Group workshop producing a professional-grade link chart and narrative
- Reflection exercise benchmarking current fraud detection against ISO 37001 standards
Upcoming Sessions
Next available dates worldwide
Certification
Recognized credentials that advance your career
Participants who complete the Fraud Network Mapping and Behavioral Analysis Training Program earn a Trainingcred Certificate of Achievement, demonstrating professional competence and alignment with global standards in learning and development.
NITA Accredited
Accredited by the National Industrial Training Authority, ensuring programs meet nationally recognized standards of quality and relevance.
CPD Certified
Recognized by the CPD Certification Service, ensuring every program meets internationally benchmarked standards of professional excellence.
Why this course earns its place on your CV
Accredited training, practitioner trainers, and peers on the same career track — the three things real expertise is built on.
Advanced Investigative Skills
- Master link analysis techniques to uncover hidden relationships between fraud actors.
- Learn behavioral pattern recognition to detect anomalies before losses escalate.
- Build expertise in mapping complex fraud rings across multiple data sources.
Career-Defining Expertise
- Position yourself as the fraud intelligence specialist every organization urgently needs.
- Gain rare, high-demand skills that command premium roles in fraud prevention.
- Differentiate your profile with network analysis capabilities few investigators possess.
Practical, Real-World Application
- Apply fraud mapping methodologies to realistic scenarios during hands-on exercises.
- Translate behavioral indicators into actionable intelligence for immediate workplace impact.
- Leave with a repeatable analytical framework ready for live fraud investigations.
Tools and platforms relevant to this field
Examples Ireland teams may encounter, and that may be featured in training where they support the confirmed course scope.
These are field-relevant examples, not a promise that every tool will be covered. Exact coverage depends on the confirmed course scope, participant needs, and delivery format.
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Microsoft Power BI MicrosoftUsed to combine case data, transaction data, and behavioural indicators into visual dashboards before analysts move into link analysis.
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IBM i2 Analyst's Notebook IBMUsed for link analysis and investigative charting when teams need to map relationships across suspects, accounts, devices, and events.
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SAS Visual Investigator SASUsed in fraud and AML operations to investigate cases, surface connected activity, and document analyst decisions.
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Neo4j Neo4jUsed to model entities and relationships as a graph when organisations want scalable network analysis of suspicious activity.
