Eliminating Blind Spots in Internal Fraud Detection

Financial institutions face constant pressure to uncover hidden threats from within their own walls. The Internal Fraud Roundtable connects executives responsible for monitoring employee activity, minimizing losses, and advancing fraud detection strategies across the enterprise. Members dive deep into real-world detection scenarios, share tactics for escalation and prevention, and explore how peers are leveraging analytics and AI to stay ahead of evolving risks.

This is more than a benchmarking exercise—it’s a peer-led exchange that unpacks the hard-to-measure dynamics of insider fraud. Participants compare alert performance, case management processes, termination thresholds, and the roles of first vs. second lines of defense. From typology tracking to employee engagement strategies, the Roundtable offers insight into both tactical execution and long-term risk mitigation.

Members meet in person and virtually throughout the year and may request unlimited custom surveys to explore key areas of concern. Monthly benchmarking provides a pulse on metrics like referral source breakdowns, fraud loss per case, and substantiation rates—giving teams real-time visibility into their internal fraud performance.

Who Should Join

This Roundtable is designed for executives overseeing internal fraud programs, including those focused on employee monitoring, enterprise fraud management, or alert optimization. Titles typically include SVP, Internal Fraud Prevention; Head of Enterprise Fraud; and VP, Internal Fraud Ops.

Why It Matters

Insider threats are complex, often subtle, and reputationally risky. By joining the Internal Fraud Roundtable, members gain access to peer guidance, practical benchmarks, and shared experiences that help elevate program maturity and improve detection before fraud becomes fallout.

Hot Topics

• Internal Fraud Trends and Insights: Recent patterns and significant case experiences and observations, including emerging internal fraud typologies and areas with increasing abuse
• Monitoring Rules & Detection Alert Strategies: Rules that yield high-value alerts vs. less critical rule strategies; measuring the performance and effectiveness of rules and alerts; oversight between the First Line and Second Line of Defense
• Artificial Intelligence: Using AI to detect fraud, such as falsified resumes or to optimize alerts generated from monitoring strategies