Format: Online
Sponsored by:
Artificial intelligence is transforming how organizations operate while simultaneously amplifying the scale, speed, and sophistication of fraud. Drawing on insights from a recent survey of senior internal audit leaders, this webinar examines how AI is reshaping fraud risk, where preparedness gaps persist, and how internal audit can strengthen detection, assessment, and response. Participants will explore practical considerations for evaluating readiness and positioning internal audit to play a more proactive role in addressing AI-enabled fraud risk.
DATE: Mar 4, 2026
TIME: 12:00 PM–1:00 PM ET
One (1) NASBA CPE will only be awarded to participants on the live broadcast who are logged in for a minimum of 50 minutes and engage on at least three poll questions per each hour of the event.
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By the end of this webinar, attendees will be able to:
- Identify how artificial intelligence both enables new fraud schemes and amplifies traditional fraud risks
- Articulate the role of internal audit in organizational strategies to prevent, detect, and respond to fraud
- Assess the leading AI-enabled fraud risks in North America and the most common internal audit responses
- Evaluate organizational preparedness and response capabilities in light of emerging AI-enabled fraud threats
SPEAKER
Richard Marcus
AuditBoard
Richard Marcus is the Chief Information Security Officer at AuditBoard, where he leads product, infrastructure, and corporate IT security functions as well as AuditBoard’s own internal risk and compliance initiatives. In this capacity, he has become an AuditBoard product power user, leveraging the platform’s robust feature set to help achieve SOC 2, GDPR, ISO 27001 certification, and many other GRC initiatives. In his spare time, he enjoys exchanging insights with his information security leader peers in the AuditBoard Community and participating in the AuditBoard product development process. Prior to joining AuditBoard, Richard led global GRC at Verizon Media and Security Operations at EdgeCast Networks.