Using AI for Fraud Prevention
& Risk Management

• What are the Key Fraud Risk areas in financial institution
• Understanding how AI can be integrated in fraud detection
• What are the common types of fraud AI can detect
• What are the benefits of using AI in Fraud Detection as compared to traditional Fraud Detection methods
• What are the challenges of using AI in Fraud Detection
• Case studies: AI Success Stories in Fraud Management

• Understanding AI Tools for Fraud Management
• What are the red flags indicating that there is fraud in a financial institution
• What are the common types of concealment acitivites and they pose significant challenge in fraud detection and prevention effort
• Comparison between traditional vs ai-infused methods of analyzing fraud patterns
• What are the tecnhiques for fraud pattern recognition

• Overview of user-friendly AI tools, including IBM Watson Assistant, SAS Visual Analytics, Tableau, and Microsoft Power BI.
  • What are their key features
  • What are their use cases
  • How to utilize these AI Tools for Fraud Detection

• Introduction to the key regulations in fraud management globally
• Overview of the regulatory landscape governing fraud detection and prevention in Singapore
• Why is there a need to Implement Effective Regulations to Prevent Fraudulent Activities
• Utilizing the 9-Step Document Review Process to Uncover Potential Fraud Indicators.
• Managing Fraud Post-Document Review: Implementing the 3-Step Reporting Procedures.
• Essential Considerations During the Reporting Procedure.

AI can be a powerful ally in fraud prevention by analysing vast amounts of data in real time to detect unusual patterns, behaviours, and anomalies that may indicate fraudulent activity. It helps identify risks faster and more accurately than traditional methods, allowing organizations to stop fraud before it escalates. From machine learning algorithms that spot subtle red flags to predictive models that anticipate future threats, AI transforms how businesses protect their assets and customers.

Yes, up to 70% funding support is available from The Institute of Banking & Finance (IBF) for our IBF-accredited programmes:

The IBF Standards Training Scheme ("IBF-STS") offers funding for training and assessment programmes accredited under the Skills Framework for Financial Services.

Yes, all our courses are eligible for Union Training Assistance Programme (UTAP) Funding. NTUC Union members can use UTAP to offset 50% of unfunded course fees (capped at $500 per year).

This claim must be done after completion of the course. Please refer to the UTAP FAQ for more information.

The IBF funding support works on a nett fee model. This means that the subsidy is applied upfront, and you will only need to pay the balance course fees after the subsidy. For example, if you are eligible for 70% subsidy, you only need to pay the remaining 30% upfront.

To be eligible, you’ll have to meet the following prerequisites.

For Self-Sponsored:

All Singaporeans or Singapore Permanent Residents (PRs) that are physically based in Singapore and successfully complete the course will be eligible.

• Be a Singaporean Citizen or PR based in Singapore
• Minimum of 75% attendance (this means that you must attend at least 6 out of 7 lessons)
• Pass the final assessment

Any balance course fees can be offset using your SkillsFuture Credits & NTUC UTAP funding.

For Company-Sponsored:

A laptop is required for this course. No special software or other hardware is required for this course participation.

Upon successful completion of this IBF-accredited course, you'll receive a Using AI for Fraud Prevention
& Risk Management certification to showcase your knowledge and expertise in this field.

Our programmes are highly respected by leading companies, who actively shape our curriculum and utilize our courses for employee training.