ValidMind

Join ValidMind for a practical discussion on E-23 and AI governance, hosted by **David Asermely**, and learn how to meet evolving regulatory expectations with confidence.

### Overview

Regulatory expectations around models and AI systems are evolving quickly. E-23 raises the bar for model risk management, while parallel scrutiny on **AI governance, oversight, and controls** is accelerating across financial institutions.

In this webinar, **David Asermely** will connect the dots between E-23 and AI governance, explaining how institutions can build a unified approach to governance, validation, and documentation across both traditional models and AI-driven systems.

### What You’ll Learn

*   A clear breakdown of E-23 and its implications for model risk management
*   How E-23 intersects with emerging AI governance expectations
*   Key governance, validation, and documentation challenges for AI and ML models
*   Practical steps to align MRM and AI governance frameworks
*   How automation and standardized controls can support compliance at scale

### Who Should Attend

*   Model Risk Management (MRM) teams
*   AI governance and risk leaders
*   Compliance and regulatory affairs professionals
*   Model validators and oversight committees
*   Data science leaders deploying AI in regulated environments

Walk away with a clearer understanding of how E-23 and AI governance fit together and what your institution should be doing now to stay compliant without slowing innovation.

Secure your spot to learn how to navigate E-23 and AI governance with a practical, integrated approach.


Operationalizing E-23 Without Slowing AI

Is Your AI Risk Program Ready for 2026?

Join **Kristof Horompoly, Head of AI at ValidMind**, for a deep dive into the 10 AI risk trends that will shape how organizations build, govern, and scale AI in 2026.

As generative AI races ahead, governance and risk management are struggling to keep up. 2026 will be a year of acceleration, correction, and control, where real-world incidents, regulatory fragmentation, and maturing AI practices force organizations to rethink how they deploy AI at scale.

In this live webinar, Kristof will walk through the key trends from his recent article, **“10 AI Risk Trends for 2026”**, and translate them into concrete actions for risk, compliance, and AI leaders.

**Why this webinar matters now**

Organizations are moving from AI experiments to AI at scale, but their risk frameworks often haven’t kept pace. In 2026, we’ll see AI development continue to outpace risk management **until it doesn’t**: headline-making incidents, emerging regulations, and a more demanding C-suite will force a shift toward stronger governance and evaluation.

This webinar will help you anticipate what’s coming so you can move from reactive firefighting to proactive AI risk strategy.

In this session, we’ll cover:

*   When development outpaces risk management
*   Governance as an enabler, not a blocker
*   First-line ownership of AI risk
*   The rise of agentic AI systems
*   Smaller, domain-specific models
*   AI + cyber risk convergence
*   AI in the C-suite and boardroom
*   Regulatory fragmentation across regions
*   The maturing AI hype cycle
*   AI as a national security concern

You’ll leave with a practical lens on where AI risk is heading, and how to align your policies, tooling, and teams to keep up.

### Who Should Attend

This session is designed for:

*   **Model risk and enterprise risk leaders** building or evolving AI and model risk programs
*   **AI / ML leaders and data science managers** deploying generative and traditional models in production
*   **Compliance, governance, and internal audit teams** focused on AI, model risk, or digital transformation
*   **Business and product owners** responsible for AI-enabled products and processes
*   **Technology and security leaders** who need an integrated view of AI, cyber, and data risk

**Ready to get ahead of AI risk in 2026?**

Reserve your spot to join Kristof live, ask questions, and get a practical roadmap for adapting your AI governance and risk program for the year ahead.


10 AI Risk Trends That Will Define 2026

**AI Is No Longer Optional. It’s Existential.**

By 2030, **AI is expected to drive hundreds of billions in annual cost savings for banks alone**. Competitive pressure will push those savings straight to consumers, leaving **ineffective adopters priced out of the market entirely**.

The message is clear: **AI adoption is not just an opportunity; it’s survival.**

**What You’ll Learn**

*   The Competitive Stakes - How AI is reshaping the economics of financial services and why inaction carries existential risk.
*   The New Competitive Threats - How **unregulated non-bank lenders** are using AI to move faster, cheaper, and smarter than incumbents.
*   Why Mid-Sized Banks Are Most at Risk - Why this transformation is especially urgent for mid-tier institutions and how recent **M\&A activity** reflects that pressure.
*   Building Trust to Accelerate Adoption - How to remove key roadblocks to AI deployment with **trust, validation, and governance** as your foundation.

### **Who Should Attend**

*   Banking and financial services executives
*   Risk, compliance, and governance leaders
*   AI, data, and innovation strategists

If you’re responsible for your institution’s competitiveness in an AI-driven future, this session is for you.

Spots are limited. Secure your access to this essential conversation on the future of competitiveness in banking.


The Competitive Imperative of AI Adoption for Financial Institutions

Artificial intelligence is transforming the financial sector, but scaling AI responsibly requires more than just technical excellence. Traditional governance models aren’t keeping up with the speed and complexity of today’s AI systems, leaving institutions exposed to risks in compliance, security, and trust.

Join our expert-led webinar to explore why new strategies for AI governance are critical for financial institutions, and how leaders can design frameworks that balance innovation with accountability.

*"If your validation team keeps using the same manual tools, you won’t have the bandwidth to turn on AI responsibly. It’s that simple.” – David Asermely*

##

## **What You’ll Learn**

In this webinar, you’ll gain insights into:

*   **The governance gap**: Why existing risk and compliance structures fall short for AI.
*   **Regulatory pressures**: How global frameworks (including EU AI Act, SS1/23, E-23, and SR 11-7) are reshaping expectations.
*   **Operational challenges**: Managing AI lifecycle risks across models, data, and stakeholders.
*   **New strategies for scale**: Practical approaches to build governance frameworks that enable trust, transparency, and compliance.

##

## **Who Should Attend**

This session is designed for:

*   Risk, compliance, and audit leaders in financial institutions
*   Data science, AI/ML, and innovation teams
*   Executives driving digital transformation and responsible AI adoption

**Event Details**

📅 **Date & Time:** Tuesday, October 21 @ 11:00AM EDT | 4:00PM BST

🕒 **Duration:** 45 minutes + live Q\&A

## **Why Attend**

*   Get actionable strategies to strengthen AI governance at scale
*   Stay ahead of regulatory shifts impacting the financial sector
*   Learn from real-world examples and best practices
*   Engage directly with experts during the live Q\&A

##

## **Register Now**

Secure your spot today and learn how to govern AI at scale with confidence.


AI Governance at Scale: Why Financial Institutions Need New Strategies Now

The PRA’s Supervisory Statement SS1/23 sets clear expectations for how firms manage model risk, including models that leverage AI and machine learning. But translating regulatory principles into practical, operational workflows remains a challenge for many institutions.

Join us for a focused discussion on how banks can operationalize SS1/23 across AI, GenAI, and traditional model portfolios, without slowing innovation.

This session will explore how to align governance frameworks, validation processes, documentation standards, and inventory controls to meet supervisory expectations while enabling responsible AI adoption.

## What You’ll Learn

✔ Translating SS1/23 from policy into operational AI governance

✔ Embedding risk classification, accountability, and lifecycle controls into AI systems

✔ Best practices for independent validation and documentation

✔ How to generate audit-ready evidence without manual overhead

✔ Strategies for accelerating AI innovation while maintaining regulatory confidence

## Who Should Attend

*   Heads of Model Risk Management
*   AI Governance Leaders
*   Validation & Independent Review Teams
*   Risk & Compliance Executives
*   Chief Risk Officers
*   Internal Audit Leaders

## Why This Matters Now

Regulators are increasing scrutiny of AI-enabled models, governance accountability, and independent oversight. Institutions that operationalize SS1/23 effectively will not only reduce supervisory risk, they will create a foundation for scalable AI adoption with measurable ROI.

## About ValidMind

ValidMind is the enterprise AI governance platform built on decades of Model Risk Management rigor. We help regulated institutions govern, validate, and monitor AI, GenAI, and traditional models at scale, providing centralized oversight, accelerating AI adoption, and delivering measurable ROI.


Operationalizing PRA SS1/23: Practical Steps for Governing AI and Model Risk

What You’ll Learn

Who Should Attend

Why This Matters Now

About ValidMind

Speaker

Hannes Krabbe

Solutions Architect, ValidMind

Replays

Operationalizing E-23 Without Slowing AI

10 AI Risk Trends That Will Define 2026