Global Supply Chain Crime Investigation Training Course

Global Supply Chain Crime Investigation Training Course

Introduction

The increasing complexity and globalization of supply chains have led to a surge in sophisticated criminal activities such as counterfeiting, smuggling, money laundering, cybercrime, and human trafficking. These crimes threaten economic security, damage brand reputations, and endanger public safety. Global Supply Chain Crime Investigation Training Course is a cutting-edge program designed to equip investigators, law enforcement, corporate compliance teams, and policymakers with the skills needed to detect, investigate, and prevent criminal activities in global supply networks. The course merges real-time case studies, investigative strategies, and inter-agency collaboration techniques to ensure comprehensive understanding and tactical execution.

This course focuses on trending investigative methodologies, digital forensics, risk assessment, blockchain traceability, and multi-jurisdictional legal frameworks. Participants will explore the dark web, cryptocurrency laundering, and illicit trade routes. By leveraging actionable intelligence and advanced technologies, the training empowers professionals to dismantle supply chain crime networks proactively and strategically.

Course Objectives

1. Identify types of supply chain crimes such as counterfeiting, diversion, and smuggling.
2. Understand the impact of global criminal networks on international trade.
3. Analyze blockchain forensics and digital ledger technology in crime prevention.
4. Develop skills for supply chain risk assessment and vulnerability mapping.
5. Apply techniques in anti-money laundering (AML) investigations.
6. Learn methods to track and trace illicit goods movement across borders.
7. Master cross-border law enforcement collaboration and interagency communication.
8. Examine the use of AI and big data in criminal detection.
9. Understand cybersecurity threats to digital supply chains.
10. Conduct due diligence and background checks on vendors and partners.
11. Recognize signs of human trafficking through supply logistics.
12. Implement compliance audits and forensic accounting for investigation.
13. Apply best practices for evidence preservation and legal prosecution.

Target Audiences

1. Customs and border control agents
2. Law enforcement and criminal investigators
3. Compliance and corporate risk officers
4. International logistics and freight professionals
5. Anti-money laundering (AML) specialists
6. Government policymakers and regulatory agencies
7. Legal and forensic accounting professionals
8. Cybersecurity and IT risk analysts

Course Duration: 10 days

Course Modules

Module 1: Introduction to Global Supply Chain Crimes

• Types of supply chain crimes
• Impact on national and international economies
• Stakeholders in supply chain security
• Legal frameworks and enforcement mechanisms
• Supply chain mapping tools
• Case Study: Pharmaceutical Smuggling in Europe

Module 2: Counterfeit Goods and Brand Protection

• Identifying counterfeit indicators
• Impact on consumer safety and businesses
• Detection tools and technology
• Intellectual property law overview
• Customs inspection procedures
• Case Study: Luxury Fashion Brand Counterfeiting in Asia

Module 3: Anti-Smuggling Tactics

• Smuggling techniques and concealment
• Surveillance and inspection procedures
• Use of AI and sensor tech in ports
• Cross-border intelligence sharing
• National vs. international law
• Case Study: Electronics Smuggling Ring in South America

Module 4: Blockchain and Traceability in Supply Chains

• Understanding blockchain technology
• Use in tracking goods and origin
• Smart contracts and fraud prevention
• Data security and immutability
• Blockchain audit trail analysis
• Case Study: Agricultural Product Verification via Blockchain in Africa

Module 5: Trade-Based Money Laundering (TBML)

• Overview of TBML typologies
• Identifying red flags in financial records
• AML protocols and reporting systems
• Role of financial institutions
• Coordination with financial intelligence units
• Case Study: TBML via Textile Imports in the Middle East

Module 6: Cybercrime in Digital Supply Chains

• Vulnerabilities in logistics software
• Phishing and ransomware threats
• Cloud data protection
• Incident response planning
• Security compliance protocols
• Case Study: Cyber Attack on Maritime Logistics Firm

Module 7: Human Trafficking in Logistics Networks

• Identifying patterns in transport routes
• Red flag indicators for shipping hubs
• Legal prosecution and victim support
• Government and NGO partnerships
• Integration of surveillance tech
• Case Study: Human Trafficking via Cargo Trucks in Eastern Europe

Module 8: Vendor Due Diligence and Risk Management

• Third-party verification techniques
• Vendor compliance scoring
• Ethics audits and certifications
• Contractual obligations and liability
• Mitigation strategies
• Case Study: Risk Failure in Apparel Manufacturing Partner in Bangladesh

Module 9: Dark Web and Illicit Online Marketplaces

• Overview of hidden networks
• Cryptocurrency transactions
• Access and tracking protocols
• Law enforcement access to dark web data
• Investigation workflows
• Case Study: Illegal Parts Trade via Dark Web

Module 10: Forensic Accounting in Supply Chain Crime

• Tracing illicit financial transactions
• Audit trails and red flags
• Document analysis
• Interviewing and data correlation
• Reporting and litigation support
• Case Study: Multi-Million-Dollar Diversion in Food Exports

Module 11: Intelligence-Led Policing

• Open-source intelligence (OSINT) tools
• Data analytics in investigations
• Crime pattern recognition
• Intelligence cycle
• Strategic threat assessments
• Case Study: Coordinated Crackdown on African Wildlife Trafficking

Module 12: Legal Procedures and Evidence Management

• Chain of custody protocols
• Admissibility of digital evidence
• International criminal cooperation
• Legal documentation and records
• Court preparation strategies
• Case Study: Legal Challenges in International Arms Trafficking Case

Module 13: Cross-Border Investigations

• Jurisdictional challenges
• Mutual Legal Assistance Treaties (MLATs)
• Extradition and enforcement mechanisms
• Shared databases and intelligence
• Diplomatic considerations
• Case Study: Joint US-Mexico Operation on Supply Chain Theft

Module 14: Artificial Intelligence and Predictive Analytics

• Use of AI for anomaly detection
• Predictive supply chain modeling
• Machine learning applications
• Reducing investigative workload
• Risk prediction dashboards
• Case Study: Predictive Analytics in Preventing Cargo Fraud

Module 15: Building a Resilient Supply Chain

• Designing secure logistics systems
• Crisis management and recovery
• Integrated compliance programs
• Partner trust and accountability
• Resilience benchmarking
• Case Study: Post-COVID-19 Resilience in Medical Supplies Chain

Training Methodology

• Interactive instructor-led sessions with expert practitioners
• Case study analysis and simulations for practical insights
• Group workshops and team-based investigations
• Hands-on technology tools for forensic and blockchain tracing
• Quizzes and assessments to evaluate understanding
• Real-time scenario planning and role-playing exercises

Register as a group from 3 participants for a Discount

Send us an email: info@datastatresearch.org or call +254724527104 

Certification

Upon successful completion of this training, participants will be issued with a globally- recognized certificate.

Tailor-Made Course

 We also offer tailor-made courses based on your needs.

Key Notes

a. The participant must be conversant with English.

b. Upon completion of training the participant will be issued with an Authorized Training Certificate

c. Course duration is flexible and the contents can be modified to fit any number of days.

d. The course fee includes facilitation training materials, 2 coffee breaks, buffet lunch and A Certificate upon successful completion of Training.

e. One-year post-training support Consultation and Coaching provided after the course.

f. Payment should be done at least a week before commence of the training, to DATASTAT CONSULTANCY LTD account, as indicated in the invoice so as to enable us prepare better for you.