Christopher Bulin
Express Employment Professionals, Staffing Consultant | Payments & Compliance Professional
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Christopher has over twenty years of experience in payments, with deep exposure to how merchants, processors, and platforms navigate fraud, risk, and compliance requirements. He also spent five years building a startup focused on improving how merchants achieve and maintain PCI compliance, gaining firsthand experience with both the technical and operational challenges of regulated environments.
Although that company did not succeed, the time spent building it provided direct insight into how compliance frameworks work in practice and where they fail under real-world conditions.
Christopher now works in workforce and staffing operations at Express Employment Professionals, where documentation, verification, and trust directly impact hiring decisions, reimbursements, and employee outcomes. His perspective is grounded in practical experience across payments, compliance, and workforce systems rather than academic theory.
Area of Expertise
Trust, but Verify. Why AI Exposed a Missing Trust Layer in Digital Assets
“Trust, but verify” has long been a foundational principle in security, compliance, and everyday life. That principle assumes one thing. Verification exists.
In the past year, AI has quietly broken that assumption.
Across payments, reimbursements, marketplaces, and content platforms, organizations are encountering fraud and misuse that does not look suspicious, sloppy, or obviously fake. Documents look legitimate. Images appear authentic. Records pass basic review. The problem is no longer detection. The problem is that the artifacts themselves cannot be reliably verified.
This session explores how AI did not create fraud; it accelerated it by removing friction and scaling limits faster than verification methods could adapt. Drawing on real-world examples from reimbursement, marketplaces, and workforce documentation, the talk examines why traditional trust models are failing and why “looking real” is no longer sufficient.
Using plain language and practical examples, this presentation introduces the idea of a missing trust layer for digital assets. Similar to how SSL transformed trust on the early internet, modern digital assets now require a way to prove origin, integrity, and accountability that travels with the asset itself.
This is a conceptual, system-level discussion intended for developers, architects, and technologists who want to think beyond AI generation and focus on the long-term implications of trust, verification, and authenticity in an AI-first world.
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