Virtual Training Corporate Auditing, Compliance, and Governance

Fraud Network Mapping and Behavioral Analysis Online Course

Join our virtual, live instructor-led session and master Fraud Network Mapping and Behavioral Analysis Training from anywhere in the world.

5 Days Duration
Live Online Delivery
7 Dates Available
Certificate Included
Master Fraud Network Mapping to expose complex criminal syndicates, analyze illicit behavioral patterns, and strengthen organizational resilience through advanced link analysis and forensic intelligence.

Upcoming Virtual Training Schedules

Join from anywhere in the world with our live instructor-led sessions

Code Start Date End Date Duration Fee
FNM-05 Mon - Fri (5 Days) USD 850 Reserve my seat → Register my team →
FNM-05 Weekend (4 Weeks) USD 850 Reserve my seat → Register my team →
FNM-05 Mon - Fri (5 Days) USD 850 Reserve my seat → Register my team →
FNM-05 Mon - Fri (5 Days) USD 850 Reserve my seat → Register my team →
FNM-05 Weekend (4 Weeks) USD 850 Reserve my seat → Register my team →
FNM-05 Mon - Fri (5 Days) USD 850 Reserve my seat → Register my team →
FNM-05 Weekend (4 Weeks) USD 850 Reserve my seat → Register my team →
Training Date
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5 Days
USD 850
FNM-05
Reserve my seat
Training Date
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4 Weeks
USD 850
FNM-05
Training Date
to
5 Days
USD 850
FNM-05
Reserve my seat
Training Date
to
5 Days
USD 850
FNM-05
Reserve my seat
Training Date
to
4 Weeks
USD 850
FNM-05
Training Date
to
5 Days
USD 850
FNM-05
Reserve my seat
Training Date
to
4 Weeks
USD 850
FNM-05

Here's What You'll Learn

Each module tackles real challenges you face in your role

1

Fraud Ecosystems and Network Theory

2

Data Harvesting and OSINT Techniques

3

Link Analysis and Entity Resolution

4

Social Network Analysis (SNA) Metrics

5

Behavioral Forensics and Fraud Psychology

6

Digital Forensics and Network Footprinting

7

Financial Intelligence and Pattern Detection

8

Advanced Visualization and Mapping Tools

9

AI-Driven Detection and Predictive Modeling

10

Strategic Reporting and Investigation Management

Market-specific guidance for Kenya

A country-aware view of the pressures, proof points, and practical tools that shape how this course applies locally.

Why this course matters in Kenya

Strategic context for the risks, opportunities, and capability gaps this training addresses locally.

Fraud network mapping matters in Kenya because financial crime investigations increasingly need to connect accounts, identities, devices, and counterparties rather than review isolated transactions. That makes the course relevant for banks, fintechs, insurers, audit teams, and compliance functions that must detect layered fraud, synthetic identities, and laundering patterns before losses spread. It also helps leaders decide where to strengthen controls: transaction monitoring, customer due diligence, internal investigations, and escalation pathways. For Kenyan organisations, the practical value is faster detection, clearer case building, and better defensibility when reporting suspicious activity to regulators or law enforcement.

Network visibility over transaction review

Kenyan fraud teams benefit from graph-based investigation because organised fraud often uses multiple related accounts, devices, and mule relationships that do not appear in single-transaction reviews.

Useful for AML and internal investigations

The same analytical approach supports anti-money laundering work and employee-fraud inquiries, which is important for institutions that must show how they identified the relationship pattern, not just the final loss event.

Supports better regulatory defensibility

Link charts and behavioural profiles can help investigators present findings in a structured way that is easier for compliance leaders, auditors, and regulators to review and challenge.

This training is timely because fraud and money-laundering cases increasingly involve coordinated networks rather than single offenders, making traditional control testing less effective. Kenyan organisations in regulated sectors need investigation methods that can keep pace with digital onboarding, payment platforms, and cross-channel abuse.

Tools and platforms relevant to this field

4

Field-relevant examples that may be featured in training where they support the confirmed scope. Exact coverage depends on participant needs and delivery format.

  • Microsoft Power BI Microsoft
    Used to visualise transaction patterns, entity relationships, and exception trends for investigative reporting.
  • Neo4j Neo4j
    Used for graph-based relationship analysis when investigators need to map connections between people, accounts, devices, and transactions.
  • i2 Analyst's Notebook IBM
    Used for link analysis and case charting in fraud and AML investigations.
  • SAS Fraud Management SAS
    Used to detect suspicious activity patterns and support case prioritisation in high-volume financial environments.

Where this course runs

Fraud Network Mapping and Behavioral Analysis Training is delivered in the cities below — pick the one that fits your schedule.

Real Results from Real Professionals

Thousands of professionals have transformed their careers through our training programs. Now, it's your turn.

Customize Training Duration

The standard duration for Fraud Network Mapping and Behavioral Analysis Training is 5 Days. The options below are alternative durations with adjusted pricing.

Looking for the standard 5 Days schedule? Use the button below.

Trusted by 100+ organizations across 40+ countries

Premier Bank
Amnesty International
UNDT SACCO
UNFPA
USAID
AMREF Health Africa
KENTRADE
CPF
UFIA
UNICEF
Central Bank of Kenya
UNDP
GIZ
Premier Bank
Amnesty International
UNDT SACCO
UNFPA
USAID
AMREF Health Africa
KENTRADE
CPF
UFIA
UNICEF
Central Bank of Kenya
UNDP
GIZ
Barbours
Bank of Rwanda
RFA
Dahabshil Bank
Dorcas Aid
Finn Church Aid
KCB Foundation
Ministry of Education Saudi Arabia
NSSF Uganda
RBA
Reserve Bank of Malawi
WASREB Kenya
Virginia Commonwealth University
Barbours
Bank of Rwanda
RFA
Dahabshil Bank
Dorcas Aid
Finn Church Aid
KCB Foundation
Ministry of Education Saudi Arabia
NSSF Uganda
RBA
Reserve Bank of Malawi
WASREB Kenya
Virginia Commonwealth University