6-9 APRIL 2026 Maldives

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Certificate in AI Fraud Risk Management (CAIFRM)

The First Executive Retreat in AI for Fraud Intelligence and Integrity Leadership

Days

Hours

Minutes

seconds

Master Trainer

Course Agenda | Methodology

Master Trainer

Iyad Mourtada

ACFE Authorized Trainer

OpenThinking Academy

Iyad is an ACFE Authorized Trainer in Malaysia and the GCC teaching the CFE Exam Review Course and since then more than 5000 ACFE members have passed the CFE Exam with him Iyad has started his career in Chicago by working as an auditor with the National Future Association, a self-regulatory organisation for the U.S. derivatives industry. He conducted audits and investigations for many global financial firms in the US before and after the financial crisis of 2008. Iyad has provided training to the Internal Audit and Fraud Investigation departments of various companies, including but not limited to:

Petronas
Securities Commission Malaysia
MISC
Bank Rakyat
HRDF
MBSB Bank
RHB Bank
Alliance Bank
Tenaga Nasional Berhad

Certificate in AI Fraud Risk Management (CAIFRM)

Why You Cannot Miss This Certificate Course:

Fraud is evolving at a velocity that traditional controls can’t match — and
leaders who remain reliant on manual, reactive methods are already
behind. The Certificate in AI Fraud Risk Management (CAIFRM) gives you
the strategic edge to stay ahead of emerging threats. Over three
immersive days, you’ll move from understanding how AI reshapes fraud
prevention to building predictive models, anomaly-detection systems, and
intelligent response workflows that operate at enterprise scale.
Through real-world case studies, practical labs, and guided exercises, you
will learn how to translate data into foresight, automate investigative
processes, and embed ethical, AI-driven governance into your fraud
framework. The program bridges audit, compliance, risk, and analytics,
equipping you to lead your organization’s shift from reactive defense to
proactive intelligence.
If your mandate involves protecting assets, strengthening controls, or
elevating fraud resilience — this certification is no longer optional. It’s the
new standard.

Course Overview :

Artificial Intelligence (AI) and Machine Learning (ML) are transforming the way organizations detect, prevent, and respond to fraud. Traditional methods of fraud risk management are no longer sufficient in an era where data volume, speed, and complexity have outpaced manual analysis. The Certificate in AI Fraud Risk Management (CAIFRM) program is an intensive, hands-on certification designed to empower professionals with the tools and knowledge to integrate AI, ML, and data analytics into a comprehensive fraud risk management framework. Over three immersive days, participants will explore how to predict, prevent, detect, and respond to fraud using advanced technologies, real-world case studies, and practical applications. The program bridges the gap between fraud risk management and data science, equipping participants to lead their organization’s transformation into an intelligent, proactive, and resilient fraud defense model

Who Should Attend :

This certification is ideal for professionals involved in fraud
risk, compliance, audit, data analytics, or technology
innovation, including:

Fraud Examiners and Investigators
Internal and External Auditors
Risk and Compliance Officers
Data Analysts and Data Scientists
Financial Crime and AML Professionals
Governance, Risk, and Technology Managers
Business Leaders and Strategy Professionals

Learning Outcome :

By the end of this certification, participants will be able to :

Understand how AI and ML are reshaping the fraud risk management landscape.
Measure and interpret TEEP and other key indicators to track efficiency and equipment health.
Apply data analytics, predictive modeling, and anomaly detection techniques to identify suspicious activities.
Develop fraud prediction models and interpret model outputs to support investigation and decision-making.
Integrate AI tools and automation in fraud response, continuous monitoring, and risk assessment.
Evaluate ethical, regulatory, and governance issues related to AI-based fraud management.

Key Takeaways :

Deep understanding of how AI and ML enhance fraud risk management.
Practical skills in fraud detection, prediction, and response using analytics.
Tools and frameworks for implementing AI governance in fraud programs.
Recognition with a Certificate in AI Fraud Risk Management (CAIFRM).

Course Outline :

Day 1 – The AI Revolution in Fraud Risk Management – Prevention & Foundations

Understanding the AI and ML landscape in fraud prevention
Evolution from rule-based detection to intelligent automation
Key data sources and digital footprints for fraud analytics
Framework for AI-integrated Fraud Risk Management (FRM)
Designing data governance and ethical AI policies
Case studies: AI applications in financial services, insurance, and public sector
Workshop: Building a fraud data readiness checklist

Day 2: Detecting and Responding to Fraud Using AI and Data Analytics

Machine learning algorithms for anomaly and pattern detection
Supervised vs. unsupervised learning in fraud detection
Real-time fraud monitoring and behavioral analytics
Using Natural Language Processing (NLP) for fraud investigation
Implementing AI-driven alerts and red flags systems
Automating investigation and response workflows
Case study: How AI transformed fraud detection at global banks and fintech firms
Practical lab: Developing a fraud detection model using sample data

Day 3: Predictive and Proactive Fraud Risk Management

Predictive analytics for future fraud trends and vulnerabilities
Deep learning and neural networks in advanced fraud modeling
Continuous learning systems and adaptive risk scoring
Integrating AI into enterprise risk management (ERM) frameworks
Using AI dashboards and visualization for executive reporting
Governance, accountability, and human-AI collaboration
Capstone project: Designing an AI-driven fraud risk strategy for your organization
Assessment and certification exam (60 questions exam in 1.5 hours)

Day 4: The Insight Voyage: From Serenity to Society

Where Knowledge Meets Culture — and Insight Finds Context.
After three days of deep reflection, the learning steps out of the resort and into the living rhythm of the islands.
Delegates embark on a guided journey through the Maldives — part cultural exploration, part off-road dialogue on integrity in action.
Accompanied by Iyad Murtada, the day blends discovery and conversation: markets alive with color and story, coastal roads leading to quiet fishing communities, and pauses along the way for unscripted discussions on trust, truth, and the human side of fraud. Between moments of local hospitality and horizon views, Iyad shares gripping “horror fraud” stories — real investigations that changed laws, lives, and leadership lessons alike. This isn’t tourism; it’s reflection in motion — a day where insight meets humanity, and the island becomes your classroom.
From serenity to society — you won’t just see the Maldives; you’ll feel the culture, hear the stories, and understand the pulse of integrity that sustains it

All delegates required to bring laptops for follow along practical sessions

Masterclass Methodology

The CAIFRM course blends interactive lectures, live demonstrations, group discussions, and practical labs using real-world datasets. Participants will gain hands-on exposure to AI and analytics tools, ensuring the learning experience is both strategic and technical.

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Course Fee & Registration

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