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Payments

Payments Fraud: Detection, Prevention and Response Across the Payments Ecosystem (P102-008)


Description

Purpose:
Equip payments professionals (support, risk, compliance, operations, and sales) with the ability to identify, prevent, and respond to fraud across card, digital, and account-based payment environments.


Target Audience:

Payments support teams

Fraud & risk analysts

Compliance professionals

Merchant support & onboarding teams

Product & operations teams

Sales (for fraud-aware solution positioning)

Contact Us:: training@transacttraining.online Average Course Durat...: 48 Hours Time for Course Comp...: 30 Days

Content
  • Introduction
  • Welcome Letter
  • Accessing Course Toolkits and Reference Material (clone)
  • Use of Multimedia
  • Module 1: Foundations of Payments Fraud
  • Learning Objectives
  • Key Terms
  • What is Payments Fraud?
  • The Difference Between Fraud, Disputes, and Operational Errors
  • Why Payments Fraud is Increasing Globally
  • The Impact of Fraud (Financial, Operational, Reputational)
  • Fraud Across the Payments Ecosystem (Issuers, Acquirers, PSPs, Merchants)
  • Key Terminology and Concepts
  • Summary: Module 1
  • Assessment: Module 1
  • Module 2: Fraud Types Across Payment Channels
  • Learning Objectives
  • Key Terms
  • Card-Present Fraud (Lost/Stolen Cards, Skimming)
  • Card-Not-Present (CNP) Fraud (E-commerce)
  • Account Takeover (ATO)
  • Authorised Push Payment (APP) Fraud
  • Friendly Fraud vs True Fraud
  • Merchant Fraud (Collusion, Fake Merchants)
  • Digital Wallet & Mobile Payment Fraud
  • Summary: Module 2
  • Assessment: Module 2
  • Module 3: Fraud Actors & Attack Methods
  • Learning Objectives
  • Key Terms
  • Fraudster Profiles (Individuals, Syndicates, Insider Threats)
  • Social Engineering Techniques (Phishing, Smishing, Vishing)
  • Credential Theft & Data Breaches
  • Malware, Bots, and Automation
  • SIM Swap Fraud
  • Fraud Attack Lifecycle (Recon → Exploit → Monetise)
  • Summary: Module 3
  • Assessment: Module 3
  • Module 4: Fraud Detection & Monitoring
  • Learning Objectives
  • Key Terms
  • Transaction Monitoring Fundamentals
  • Rule-Based Detection
  • Fraud Indicators (Velocity, Location, Behavioural anomalies)
  • Risk Scoring Models
  • Real-Time vs Post-Transaction Monitoring
  • False Positives vs False Negatives
  • Social Engineering Techniques (Phishing, Smishing, Vishing)
  • Summary: Module 4
  • Assessment: Module 4
  • Module 5: Fraud Prevention Strategies
  • Learning Objectives
  • Key Terms
  • Preventative Controls Across the Payment Lifecycle
  • Merchant Onboarding & Due Diligence
  • Transaction Controls (Limits, Velocity checks)
  • Layered Security (Defence in Depth)
  • Fraud Prevention vs Customer Experience Trade-offs
  • Layered Security (Defence in Depth)
  • Summary: Module 5
  • Assessment: Module 5
  • Module 6: Authentication & Security Technologies
  • Learning Objectives
  • Key Terms
  • Strong Customer Authentication (SCA)
  • 3D Secure (3DS1 vs 3DS2)
  • Tokenisation
  • Encryption & Secure Data Handling
  • Biometrics & Behavioural Authentication
  • Device Fingerprinting
  • Summary: Module 6
  • Assessment: Module 6
  • Module 7: Chargebacks, Disputes & Liability
  • Learning Objectives
  • Key Terms
  • What is a Chargeback?
  • Chargeback Lifecycle
  • Fraud vs Non-Fraud Disputes
  • Liability Shifts (e.g., 3DS)
  • Scheme Rules & Reason Codes
  • Representment & Evidence Handling
  • Summary: Module 7
  • Assessment: Module 7
  • Module 8: Fraud Operations & Incident Management
  • Learning Objectives
  • Key Terms
  • Fraud Incident Identification & Classification
  • Incident Response Workflow
  • Escalation Procedures
  • Communication During Fraud Incidents
  • Working with Issuers, Schemes, and Law Enforcement
  • Post-Incident Review & Root Cause Analysis
  • Summary: Module 8
  • Assessment: Module 8
  • Module 9: Regulatory & Compliance Considerations
  • Learning Objectives
  • Key Terms
  • Overview of Regulatory Bodies
  • Key Legislation (FICA, POPIA)
  • AML vs Fraud – Key Differences and Overlaps
  • Reporting Obligations (STRs, suspicious activity)
  • Data Protection in Fraud Management
  • Compliance Failures & Penalties
  • Summary: Module 9
  • Assessment: Module 9
  • Module 10: Merchant & Customer Risk Management
  • Learning Objectives
  • Key Terms
  • High-Risk Merchant Categories
  • Merchant Behaviour Monitoring
  • Customer Risk Profiling
  • Red Flags in Support Interactions
  • Fraud Prevention in Customer Support Teams
  • Educating Merchants & Customers
  • Summary: Module 10
  • Assessment: Module 10
  • Module 11: Emerging Fraud Trends
  • Learning Objectives
  • Key Terms
  • AI-Driven Fraud & Deepfakes
  • Social Engineering Evolution
  • Social Engineering Evolution
  • Crypto & Digital Asset Fraud
  • Cross-Border Fraud Challenges
  • Fraud-as-a-Service (FaaS)
  • Future of Fraud Prevention
  • Summary: Module 11
  • Assessment: Module 11
  • Module 12: Building a Fraud-Aware Organisation
  • Learning Objectives
  • Key Terms
  • Fraud Risk Strategy Development
  • Roles & Responsibilities Across Teams
  • Fraud KPIs & Reporting Dashboards
  • Embedding Fraud Awareness in Culture
  • Collaboration Between Risk, Support, and Compliance
  • Continuous Improvement Frameworks
  • Summary: Module 12
  • Assessment: Module 12
  • Course Evaluation
  • Course Evaluation
Completion rules
  • All units must be completed
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