Building a Stronger Anti-Fraud Program

Strengthening Data Analytics and Anti-Fraud Programs

Organizations face increasing pressure to safeguard critical resources, maintain stakeholder trust, and enhance operational transparency. This session opens with a 30-minute keynote examining the current state of fraud risk and the evolving role of internal audit, followed by a moderated panel of internal audit practitioners who will share practical, real-world approaches to leveraging data analytics in fraud detection and prevention. Designed for executive leadership, internal auditors, and compliance and operations professionals, this session will explore how organizations can build more resilient anti-fraud programs by integrating analytics into audit planning, risk assessment, and ongoing monitoring, even within resource-constrained environments.

Learning Objectives

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

1. Identify common and emerging fraud risks facing organizations today, including vulnerabilities associated with decentralized operations, evolving business processes, and resource constraints.
2. Describe how data analytics can be practically integrated into internal audit and compliance functions to strengthen fraud detection and prevention efforts.
3. Evaluate the organizational, technological, and cultural factors that support or hinder the successful adoption of analytics-driven anti-fraud programs.
4. Apply practical strategies discussed by the panel to enhance their organization’s fraud risk assessment processes, data governance practices, and cross-functional collaboration among audit, compliance, and operational stakeholders.