ISW Secure Payments Training

better customise ISW SECURE Payments to your organisation's needs

Unlock the full potential of your ISW Secure Payments service and take your organisation to new heights with these comprehensive training courses. Not only will you gain an in-depth knowledge into the rules and models that apply, but also valuable skills for customising them to meet specific needs - boosting efficiency, productivity and reducing fraud.

ISW Secure Payments
Administration Training Course

Description: This intensive training course covers all aspects of Safer Payments administration, from installation and cluster maintenance to advanced implementation strategies. The course is available in two formats:

1.     4-Day Core Course: Covers essential administration topics (Days 1-4)

2.     5-Day Comprehensive Course: Includes all core topics plus implementation tasks (Days 1-5)

Prerequisites: None

Course Outline

Day 1 – Installation, Cluster Maintenance & Mandators

  • Introduction

  • Install Safer Payments

  • Cluster Maintenance

  • Interfaces

  • Mandator Structure

  • Accounts, Groups & Roles

Day 2 – Data Dictionary, Indexes, Masterdata & Encryption

  • Messages, Attributes and Mappings

  • Indexes

  • Encryption

  • Masterdata

  • Import & Export Jobs

Day 3 - Monitoring, Administration & Compliance lists

  • Status Alarms, KPIs & Charts

  • Upgrading Safer Payments

  • Administration System Configuration

  • Log Latency Violations

  • Maintenance Functions

  • Compliance Lists

  • Risk lists

Day 4 - Outgoing channels, Notifications & Troubleshooting

  • Outgoing Channels

  • Notifications

  • Mandator settings

  • Retention Settings

  • Deferred Writing

  • Logging

  • Troubleshooting

Day 5 – Safer Payments Implementation (Optional)

  • Data Dictionary & Sizing

  • Gathering Requirements

  • High Availability & Disaster Recovery

  • Authentication

  • Intercept Codes

  • Reporting

  • Case Management

  • Promoting your changes to Production

Upon Completion the student will be

Equipped to harness the full potential of IBM Safer Payments, enabling their organisation to adapt swiftly to emerging threats and detect fraud with unprecedented speed and accuracy.

About IBM Safer Payments

IBM Safer Payments utilises modern machine learning to empower on-site fraud management teams. This tool enhances team effectiveness, enabling them to stop more fraud with fewer false alerts. Key benefits include:

  • Accelerated modelling optimisation

  • High performance results with ultra-low false-positive rates

  • Agile fraud management with rapid model deployment

  • Enterprise-grade solution with 99.999% availability

  • Open-source data science platform for flexible model building and importing

ISW Secure Payments
Modeler Course

Description: This course empowers students to create rules using a variety of profiling tools to address a variety of fraud schemes. There is particular focus on the simulation and AI capability within ISW Secure Payments service to ensure accuracy of models & rules which greatly extends your counter fraud capability.

Prerequisites: None | Duration: 3 Days

Course Outline

Day 1 – Profiling

  • Introduction

  • Messages, Attributes & Indexes

  • Conditions & Expressions

  • Approaches to Fraud Rules

  • Profiling Behaviour

  • Writing Rules

Day 2 – Writing Rules

  • Compliance List

  • White, Black and Grey Lists

  • Practical Fraud Rules

  • Practical AML Rules

  • Collusions (Point of Compromise)

Day 3

  • Sampling

  • Simulations

  • Rule Generation

  • Internal Random Forest Model

Upon Completion the student will be able to:

  • Write rules using a different profiling tools

  • Understand the different condition expressions

  • Profile normal vs abnormal behaviour

  • Configure Compliance Lists

  • Configure Risk Lists

  • Configure a Collusion

  • Run Simulations

  • Generated rules and understand parameter settings

  • Generated a Random Forest Model and understand parameter settings

ISW Secure Payments
Advanced Modeler Course

Description: This course builds on the Modeler course stepping through using python to leverage external models; and then making use of modelling tools to create models that are imported into the ISW Secure Payments service. These two approaches help identify patterns of fraud that were not obvious to the fraud team and will increase your hit rate while reducing your false positive rate.

Prerequisites: Completed the ISW Secure Payments modelling course. Some knowledge of Python

Duration: 2 Days

Course Outline

Day 1 –ISW SeCURER Payments with Python

  • Exporting Data

  • Introduction to Neural Networks & XGBoost AL models

  • Creating a Neural Network model using Python Tensorflow Library

  • Creating a XGBoost model using Python Tensorflow Library

  • Configuring Safer Payments to use Python

  • Accessing Neural Network model from Rules

  • Accessing XGBoost model from Rules

Day 2 – External Modelling

  • Creating an external model with modelling tools

  • Importing an external model

  • Creating an Ensemble Model

  • Accessing models as web services

  • Running a simulation using the external model

Upon Completion the student will be able to:

  • Explain the different AI models

  • Use python to access models

  • Create external models using modelling tools

  • Import external models

  • Access external models as web services using python

HAVE A QUESTION?

We have a dedicated team of subject matter experts on hand to help you