Webinar: AI and Fraud Detection in Manufacturing
Manufacturers face complex fraud risks that span supply chains, procurement, and production. From falsified vendor invoices to compromised design files, even a single breach can disrupt operations and erode trust.
Join us for a no-cost webinar exploring how artificial intelligence is transforming fraud detection and prevention across the manufacturing sector. Learn how AI-driven analytics can identify anomalies, flag suspicious activity, and protect your organization’s financial and intellectual assets before damage occurs.
Speaker: Carl Kriebel
Carl N. Kriebel is a Cybersecurity Shareholder at Schneider Downs, where he leads cybersecurity consulting and IT risk advisory efforts. He has over 20 years of experience as a cybersecurity practitioner and strategist, advising organizations across industries on data protection, compliance, and building mature security programs. At Schneider Downs he helps clients develop comprehensive cybersecurity strategies and strengthen their defenses against evolving threats.
What You’ll Learn:
- How AI integrates with ERP and quality systems to monitor transactions and inventory flows in real time
- Ways predictive analytics and machine learning can detect vendor fraud and reduce financial losses
- Best practices for safeguarding proprietary data and maintaining compliance with industry standards
Common Vulnerabilities to Avoid:
- Weak Access Controls: Over-permissioned shop-floor and ERP accounts that expose production data
- Unpatched Industrial Equipment: Legacy systems running outdated software
- Poor Encryption of Design Files: CAD and proprietary specs sent without adequate protection
- Insufficient Cyber Training: Employees unaware of phishing and social-engineering threats
- No Incident Response Plan: Delayed reporting that magnifies recovery time and cost
Who Should Attend:
Manufacturing leaders, IT/OT managers, finance and operations professionals, and anyone responsible for digital security or compliance.
This webinar will be Hybrid: In-person/virtual delivery.