What happens when AI capabilities advance faster than the organizations adopting them?

In this episode of The Third Party Risk Institute Podcast, Linda Tuck Chapman sits down with Alex Golbin, author and senior financial services executive with more than two decades of experience across enterprise risk, technology and data transformation, operational resilience, regulatory remediation, and AI governance.

The conversation centers on Alex’s new book, Governing AI Risk: The River Charter – An Enterprise Resilience Standard, which combines business fiction with practical risk-management concepts for boards, executives, and risk professionals. The story looks at how seemingly reasonable decisions made today accepting workarounds, relying on third parties, delaying remediation, or giving AI systems greater autonomy can accumulate into interconnected dependencies and future enterprise risk.

Alex’s central argument is not that organizations should slow down AI adoption. Instead, organizations need governance and resilience structures capable of making that speed survivable.

What we cover in this episode:

• Why AI capability can develop faster than an enterprise's data, governance, controls, operating models, and resilience.
• The RIVER Charter and its five pillars: Resolve Convergence, Integrate Hybrid Cognition, Validate Risk Debt, Elevate Data Capital, and Reinforce Resilience.
• What risk debt means and how small risk decisions, exceptions, workarounds, and deferred remediation can accumulate over time.
• Why traditional vendor assessments need to expand to include AI models, cloud providers, data sources, APIs, material fourth parties, autonomous agents, and other dependencies.
• Alex’s concept of All Entity Risk Management (AERM) and why organizations may need to look beyond conventional vendor boundaries to understand what their critical business outcomes actually depend on.
• Why annual questionnaires and point-in-time assessments may not provide enough assurance for rapidly changing AI dependencies and the growing importance of telemetry, control evidence, change signals, outcome monitoring, and reassessment triggers.
• Where accountability sits when a third-party AI system or autonomous agent contributes to a consequential failure.
• Why simply having a “human in the loop” may not be enough, and how Alex’s cognitive handshake concept focuses on meaningful collaboration between human judgment and AI while preserving accountability.

This episode goes beyond a discussion of AI technology. It examines what AI means for third-party risk management, operational resilience, enterprise risk management, governance, data, accountability, and the extended enterprise.

For third-party risk, operational risk, cybersecurity, compliance, governance, procurement, audit, technology risk, and enterprise risk professionals, this conversation raises an increasingly important question: Are our existing risk practices evolving quickly enough for an environment where vendors, models, data, platforms, people, and autonomous AI agents are becoming deeply interconnected?

If your intrested in Alex's book here is the link to it: https://www.amazon.com/Governing-Risk-RIVER-Charter-Enterprise/dp/1041095651/ref=tmm_pap_swatch_0?_encoding=UTF8&dib_tag=se&dib=eyJ2IjoiMSJ9.GXtSzMAgRAR2dHq_QLc78Q.rnNTGsUkShYwPWVZOj-yYbE9n46zkO1wMSpX8uk3v_U&qid=1777308121&sr=8-1

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Has the Digital Operational Resilience Act (DORA) improved how financial institutions manage technology and third-party risk and where are the challenges still?

In this Third Party Risk Institute podcast, we explore what changed after DORA became applicable in January 2025. We examine the practical implications for DORA compliance, ICT risk management, third-party oversight, incident reporting and operational resilience.

The discussion considers implementation challenges, potential benefits and what risk professionals should review in their own organizations. We also explore why these developments matter to audiences across Europe and North America.

Whether you work in third-party risk management (TPRM), compliance, cybersecurity, audit or financial services, this episode offers a practical perspective on a central question: What needs to change beyond the policies and paperwork?

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In this episode of The Third Party Risk Institute Podcast, host Linda Tuck Chapman speaks with Dasha Gorovenco, Executive Director in EY Ireland’s audit practice, about what effective artificial intelligence governance looks like through an external auditor’s lens.

Dasha explains why documentation is not the same as evidence, why AI ownership must exist in practice rather than only on paper, and why organizations need to know which AI systems are actually operating across their networks not simply which tools were approved or listed in a vendor contract.

Together, Linda and Dasha discuss AI audit evidence, third-party and fourth-party AI risk, SOC and ISO compliance, AI inventories, model testing, regulatory readiness, data sovereignty, cybersecurity risk, and operational resilience.

What we cover in this episode:

• What external auditors assess when reviewing an AI governance program
• Why policies, contracts, meeting invitations, and process documents do not necessarily prove that controls are operating effectively
• How to define practical AI ownership across business teams, technology, risk, compliance, users, and senior leadership
• Why one Chief AI Officer or AI Risk Officer cannot own every aspect of AI risk
• How organizations can identify approved and unapproved AI within third-party products, software, cloud environments, and business processes
• How functionality-based questions can help identify AI embedded within vendor products and services
• Why SOC reports may not provide sufficient assurance over AI-specific controls
• The growing need for AI inventories, AI Bills of Materials, monitoring, and fourth-party visibility
• Why dynamic AI systems, large language models, algorithms, and automated decisions require ongoing testing
• How organizations can assess AI-generated errors, model bias, inconsistent outputs, and control failures
• What the EU AI Act, DORA, GDPR, and data-sovereignty requirements mean for global organizations
• How AI governance, cybersecurity risk, regulatory compliance, and operational resilience are connected

This episode is perfect for:

• Board members, Chief Risk Officers, Chief Audit Executives, CISOs, CIOs, and AI governance leaders
• Internal Audit, IT Audit, Risk, Compliance, GRC, and Assurance Professionals
• Third-Party Risk Management and Vendor Risk Management Professionals
• Procurement, Cybersecurity, Privacy, Data Governance, and Model Risk Teams
• Professionals responsible for AI controls, regulatory compliance, operational resilience, and third-party oversight
• Organizations implementing or purchasing AI-enabled products and services

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Explore more resources, expert insights, and certification programs at www.thirdpartyriskinstitute.com

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