AI Series: AI in Electronic Banking: Rules, Requirements & Regulatory Readiness
AI is no longer optional — it’s operational. But institutions that move forward without robust risk management could face compliance findings, model failures, and reputational damage. This webinar will provide a roadmap to innovate responsibly, demonstrate regulatory alignment, and future-proof your institution’s AI strategy.
KEY WEBINAR TAKEAWAYS
- How AI is transforming risk management, fraud detection, and user experience across ACH, RTP, and FedNow payments
- Four key AI risk pillars: bias, explainability, cybersecurity, and operational risk
- How frameworks like NIST AI RMF and SR 11-7 translate into practical control testing and monitoring.
- What regulators, OCC, Federal Reserve, CFPB, NCUA, and global authorities expect from financial institutions using AI
- The four core functions of the NIST AI Risk Management Framework: GOVERN–MAP–MEASURE–MANAGE
- Strengthening cybersecurity and third-party defense via due diligence, change notifications, and continuous monitoring aligned with the 2023 Interagency Guidance on Third-Party Relationships
BONUS MATERIALS
- Links to all relevant references
- AI vendor due diligence questionnaire
WEBINAR DETAILS
AI is transforming electronic banking — from fraud detection and credit underwriting to real-time payments and chatbots. But with innovation comes accountability. As banks, credit unions, and Fintechs accelerate AI adoption, regulators are already signaling that AI is not exempt from existing model risk, compliance, and cybersecurity standards. Designed for compliance officers, payments professionals, risk managers, and innovation teams, this session will explore how AI is being applied in areas like fraud detection, credit underwriting, chatbot support, and real-time transaction monitoring. It will also dive into the legal and regulatory guardrails that financial institutions should follow to stay compliant while leveraging AI’s full potential, and provide clear, actionable guidance.
