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Cybercrime and Digital Laundering Techniques

Anti-Money Laundering AML/CFT October 25, 2025
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Introduction

This cutting-edge course explores the evolving landscape of cyber-enabled financial crime and digital money laundering techniques that exploit modern technology and digital platforms. Participants will learn about various cybercrime methodologies including ransomware, business email compromise, and dark web marketplaces, along with corresponding money laundering techniques. The course covers both technical and investigative approaches to detecting and preventing digital financial crime. Through real-world case studies and practical exercises, learners will develop the skills needed to combat increasingly sophisticated digital money laundering schemes.

Objectives

Key Learning Objectives:

  • Understand the intersection of cybercrime and money laundering
  • Learn common digital money laundering techniques and platforms
  • Master investigation techniques for cyber-enabled financial crime
  • Develop skills in digital forensics and evidence collection
  • Learn to identify red flags for digital money laundering
  • Understand regulatory expectations for digital asset compliance
  • Master open source intelligence (OSINT) techniques
  • Learn to implement effective digital crime controls
  • Develop awareness of emerging cybercrime trends

Target Audience

  • Cybercrime investigators
  • AML/CFT compliance professionals
  • Digital forensics specialists
  • Law enforcement personnel
  • Financial institution security teams
  • Fintech and payment service providers
  • Risk management professionals
  • IT security and fraud prevention staff

Methodology

  • Case studies of major cybercrime investigations
  • Digital forensics practical exercises
  • OSINT gathering workshops
  • Red flag identification simulations
  • Incident response role-playing
  • Technology vendor demonstrations
  • Industry expert presentations

Personal Impact

  • Enhanced digital investigation skills
  • Improved understanding of cybercrime methodologies
  • Stronger technical analysis capabilities
  • Better risk assessment of digital payments
  • Increased confidence in digital crime detection
  • Career development in cybercrime investigation

Organizational Impact

  • Reduced cybercrime exposure and losses
  • Enhanced digital payment security
  • More effective incident response capabilities
  • Improved regulatory compliance for digital services
  • Stronger customer trust and confidence
  • Better industry collaboration and information sharing

Course Outline

Unit 1: Cybercrime Fundamentals and Typologies

Cybercrime Categories
  • Ransomware and extortion schemes
  • Business email compromise (BEC) fraud
  • Phishing and social engineering attacks
  • Dark web marketplaces and operations
Money Laundering Integration
  • Proceeds of cybercrime laundering
  • Digital payment system exploitation
  • Cross-border movement of illicit funds
  • Integration with traditional financial systems

Unit 2: Digital Payment Systems and Risks

Traditional Digital Payments
  • Online banking and payment platforms
  • Mobile payment applications and wallets
  • Peer-to-peer payment systems
  • Prepaid card and stored value products
Emerging Payment Technologies
  • Digital wallets and payment apps
  • Instant payment system risks
  • Central bank digital currencies
  • Cross-border payment innovations

Unit 3: Investigation and Forensic Techniques

Digital Evidence Collection
  • IP address tracing and analysis
  • Device identification and linking
  • Transaction pattern analysis
  • Blockchain analysis fundamentals
Open Source Intelligence
  • Social media investigation techniques
  • Dark web monitoring and analysis
  • Domain and hosting information gathering
  • Public record and database searches

Unit 4: Red Flags and Detection Methods

Behavioral Indicators
  • Unusual digital payment patterns
  • Account takeover and compromise indicators
  • Device and location anomalies
  • Behavioral biometric red flags
Transaction Monitoring
  • Digital payment monitoring systems
  • Real-time fraud detection
  • Anomaly detection algorithms
  • Machine learning applications

Unit 5: Prevention and Response Strategies

Control Framework
  • Multi-factor authentication implementation
  • Transaction limit and control settings
  • Customer education and awareness
  • Incident response planning
Industry Collaboration
  • Information sharing partnerships
  • Law enforcement coordination
  • Cross-border investigation cooperation
  • Public-private partnership initiatives

Ready to Learn More?

Have questions about this course? Get in touch with our training consultants.

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Upcoming Sessions

19 Jan

London

January 19, 2026 - January 23, 2026

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09 Feb

Abuja

February 09, 2026 - February 13, 2026

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02 Mar

Doha

March 02, 2026 - March 06, 2026

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