AI Risk Blind Spots: Discussing the Latest Research, Trends and Impacts on TPRM

Closing Visibility Gaps and Strengthening Oversight

AI adoption is accelerating, but new research reveals that most organizations maintain major blind spots, especially around third-party AI exposure, unclear governance ownership, and increasing board expectations for oversight. While many teams believe they're prepared, studies show significant gaps in visibility, accountability, and confidence across AI and vendor ecosystems. This webinar addresses how to get ahead of AI and third-party risk, gain clearer oversight, and reduce risk blind spots before audits or leadership inquiries arise.

Why Attend

Organizations face mounting pressure to demonstrate effective AI governance as adoption accelerates and board expectations intensify. However, critical maturity gaps persist in third-party AI transparency, governance ownership alignment, and reporting frameworks. This session provides practical guidance on building strong, defensible AI oversight by examining where organizations are succeeding, where exposure points exist, and how to strengthen governance frameworks to reduce surprises and enhance accountability.

Key Learning Areas

Participants will explore critical aspects of AI governance and risk management:

• AI Governance Frameworks: Learning how leading organizations design and operate effective AI governance structures

• Maturity Gap Identification: Discovering the biggest maturity gaps and exposure points creating risk in AI programs

• Third-Party Transparency: Understanding where third-party AI transparency is breaking down and creating visibility challenges

• Ownership Alignment: Examining how misalignment in AI governance ownership slows progress and creates accountability gaps

• Board Expectations: Learning what boards now expect in AI reporting, accountability, and oversight frameworks

• Immediate Actions: Determining practical steps to strengthen governance and reduce risk surprises today

What to Expect

Led by Michael Rasmussen, one of the leading voices in GRC, this webinar breaks down the most critical trends and early warning signs in AI governance. Participants will gain clear understanding of how organizations are structuring AI programs, where maturity gaps create greatest risk, and why transparency into vendor-driven AI remains limited. Henry Umney, Managing Director of GRC Strategy at Mitratech—recently named a Leader in the AI Maturity Matrix Quadrant—shares practical guidance on building strong, defensible AI oversight that satisfies stakeholder expectations while enabling continued innovation.