Agenda

Oct 1, 2026
3:00 pm - 4:30 pm EST

Your institution is buying AI faster than it can govern it: inside your core system, your fraud tools, your lending decisions, and your accountholder services. The trap most community financial institutions miss is that when the AI comes from a vendor, the technology is outsourced, but the accountability is not. The regulatory, reputational, fair-lending, and operational risk stays on your balance sheet, and “the vendor handles that” is not a defense your examiner, or a plaintiff's attorney, will accept.

This session will show you how to close that gap by bringing two disciplines together: model risk management, which asks whether the AI itself is sound and fair, and third-party risk management, which governs the vendor behind it. You will learn how to right-size validation for black-box models you cannot see inside, what to demand in due diligence and contracts, how to spot concentration and fourth-party exposure hiding across your vendors, and how to build governance you can actually staff. With the model-risk rulebook rewritten in 2026 and new state AI laws taking effect in early 2027, you will leave knowing what has changed, what is coming, and what to do before your next exam.

Topics

KEY WEBINAR TAKEAWAYS:

• A dual-gate framework for governing vendor AI through both model risk management and third-party risk management, so no tool slips through the cracks
• How to validate and challenge a vendor's “black-box” AI model when you have no source code, no training data, and no in-house data-science team
• The AI vendor contract clauses and due diligence questions that actually protect you: audit rights, model-change notification, data-use limits, explainability, and a clean exit
• What the 2026 replacement of SR 11-7 and the 2027 state AI laws (including Colorado's) mean for community financial institutions, and how to prepare before your next exam

Speaker(s)

Dushyant Sengar
RegVizion

Dushyant Sengar is Co-Founder and Partner at RegVizion, where he leads the Model Risk Management and AI Governance Practice. With two decades of experience in financial services and RegTech, he helps banks, credit unions, and fintechs navigate complex regulations such as SR 11-7, CECL, and Credit Risk Management. A published author of Modern Data Mining with Python, Dushyant brings deep expertise in AI/ML and data science to develop responsible governance frameworks. Previously, he co-led a $3M+ global MRM practice and launched NLP/GenAI products saving $1.5M+. Through RegVizion and nonprofit board roles, he continues to drive responsible AI adoption and regulatory resilience across the financial ecosystem.

Fees

Live Webinar - $279

• Unlimited connections for your institution
• Available on desktop, mobile & tablet
• Take-away toolkit
• Presenter’s contact info for questions

On-Demand Webinar - $279

• Unlimited & shareable access starting two business days after live stream
• Available on desktop, mobile & tablet devices 24/7
• Take-away toolkit
• Ability to download webinar video
• Presenter's contact info for questions

Live + On-Demand - $379

Get the best of both and save when you Bundle the Live & On-Demand Webinar registration! This option includes all the items listed above.

**100% surcharge applied to non-members.

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