Secure Payments Service

ISW Secure Payments—Powered by IBM Safer Payments

ISW Secure Payments is a hosted, scalable service for real-time fraud and AML monitoring. Powered by IBM Safer Payments, it integrates with your systems to detect threats through advanced machine learning and rule-based logic—without the need for heavy IT investment. Fast to deploy, secure by design, and fully supported by ISW.

ISW Secure Payments Services

Solution Design & Deployment

We deliver a complete, end-to-end Secure Payments solution—from project management and collaborative workshops to environment setup, configuration, and system launch, all tailored to your fraud and AML requirements.

Rules & Model Implementation

Our team works with you to develop and deploy custom fraud and AML detection rules. We support rule tuning, scenario modelling, and system testing to ensure high detection accuracy with minimal false positives.

System Integration & Testing

ISW supports system integration, user acceptance, and non-functional testing. We ensure your Secure Payments solution works reliably across your environment, with all message transformations and data flows functioning smoothly.

Ongoing Rules Maintenance

As fraud patterns evolve, so should your defences. We help you maintain and update rules, message types, and machine learning configurations to adapt to emerging threats and changing business needs.

AI & Machine Learning Enablement

Enhance your fraud strategy with AI. We support model generation, tuning, and integration using cognitive technologies—helping you detect complex patterns faster and reduce false positives at scale.

Expert Training & Enablement

We offer tailored training programs, including foundational and advanced modeler courses, to help your team create, extend, and maintain effective fraud detection rules using simulation and AI features.

Managed Support Services

Get end-to-end support from ISW’s Australia-based help desk. We manage service operations, change requests, tickets, and cloud coordination—delivered remotely from our NOC during your business hours.

Infrastructure & Cloud Management

ISW handles the full application environment, including server management, VPN access, OS-level tasks, and vendor coordination—ensuring your Secure Payments platform runs securely and reliably in the cloud.

Why choose ISW Secure Payments services?

What is ISW Secure Payments?

ISW Secure Payments is a hosted, real-time fraud and anti-money laundering (AML) detection service. Powered by IBM Safer Payments and delivered by ISW, it provides intelligent monitoring, machine learning, and flexible rule-based detection—all designed to protect your payment systems from fraud, with no heavy infrastructure required.

What makes ISW Secure Payments different?

Unlike rigid, one-size-fits-all tools, ISW Secure Payments is tailored to your environment. It integrates easily with your existing systems, requires no major in-house IT uplift, and includes optional AI, advanced analytics, and real-time alerting—delivered as a service and fully supported by ISW experts.

Can ISW Secure Payments be deployed in any cloud?

Yes. Our service is cloud-flexible—we can deploy on AWS, Microsoft Azure, IBM Cloud, or your own preferred infrastructure. We also operate in a PCI DSS-certified environment and comply with CPS 234, giving you assurance around security and compliance.

How does ISW help improve fraud detection over time?

We provide ongoing rule tuning, model management, and performance monitoring. As threats evolve, our team works with yours to adjust rules and machine learning models, improving detection accuracy while reducing false positives.

What kind of support does ISW provide?

ISW offers a dedicated Australia-based help desk, with both online and phone support. We manage everything from service requests and incident response to infrastructure and vendor coordination—so you can focus on business, not backend.

Can my fraud team create and manage rules?

Yes. We provide full training and enablement, including modeler and advanced modeler courses. Your team can take control of rule creation and simulation using built-in tools, or work with our experts for co-development and optimisation.

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ISW Secure Payments IGNITION

Ignition is ISW’s proven quick-start program that gets you up and running with our Secure Payments Service in as little as 12 weeks. It’s a structured, collaborative approach to help your organisation quickly and confidently deploy real-time fraud and AML monitoring—securely, efficiently, and fully supported from day one.

The 5 Phases of ISW’s Ignition Program

Design

We lead workshops to understand your requirements and payment data. You’ll receive a detailed solution design for review and approval.

Configure

We implement fraud rules, profiles, and models using your historical data. Initial admin training begins for your team.

Testing

We integrate your systems, enable monitoring, conduct training, and resolve issues ahead of deployment.

Pilot

The production environment goes live in a supported pilot. We fine-tune models and configurations during this critical run and complete user acceptance.

Operate

Ongoing support, advanced training, and project handover are delivered—along with a third-party penetration test to validate security and readiness.

Talk to an ISW expert about the Ignition program

ISW Secure Payments Training

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

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