What Are the Regulatory Requirements for AI Governance in the Financial Industry?

What are the regulatory requirements for AI governance for the financial industry?

Nothing.

Nothing specific yet, anyway.

Artificial Intelligence (AI) is quickly becoming part of everyday banking. From fraud detection and customer service chatbots to enhanced targeted product marketing and document processing, AI is helping the financial world improve efficiency and enhance customer service.

While there is not yet a single banking regulation dedicated exclusively to AI, federal banking regulators have made it clear that existing expectations for risk management, governance, consumer protection, cybersecurity, and third-party oversight apply to AI just as they do to any other significant banking activity. As regulators continue developing more specific AI guidance, community banks have an opportunity to prepare now rather than react later.

Start with Governance

Every AI initiative should begin with governance, not technology. Banks should establish clear ownership of AI by defining who approves its use, who manages the associated risks, and how AI activities are monitored over time. Whether your institution uses AI internally or through a third-party vendor, accountability remains with the bank.

Create an AI Inventory

One of the simplest and most valuable first steps is developing an inventory of all AI applications used throughout the organization. This includes internally developed tools as well as AI capabilities embedded within vendor products.

For each AI application, document:

• Business purpose
• Business owner
• Vendor (if applicable)
• Data being used
• Risk level
• Human oversight requirements
• Monitoring and review schedule

An inventory provides visibility into where AI is being used and demonstrates governance during regulatory examinations.

Evaluate Risk Before Deployment

Not every AI application carries the same level of risk, and that risk is not the same for every organization. A chatbot answering basic customer questions presents a different risk profile than AI assisting with loan decisions or fraud detection.

Develop a simple risk assessment process that considers:

• Customer impact
• Regulatory implications
• Data sensitivity
• Operational risk
• Model reliability

Higher-risk AI applications should receive additional oversight, testing, and executive approval before implementation.

Strengthen Vendor Oversight

Many community banks will access AI through existing technology providers rather than developing their own models. Even so, regulators will expect banks to understand how these solutions work and how associated risks are managed.

When evaluating AI vendors, ask questions such as:

• How is customer data protected?
• Is bank data used to train public AI models?
• What security controls are in place?
• How are model updates managed?
• What happens if the service becomes unavailable?
• Vendor due diligence should evolve alongside AI capabilities.
  
  

Keep Humans in the Loop

AI should support decision-making—not replace sound judgment. Establish clear processes for human review of high-risk decisions, particularly those involving lending, fraud, compliance, or customer interactions.

Employees should understand when they are expected to review, override, or escalate AI-generated recommendations.

Monitor AI Over Time

Governance doesn't end once AI is deployed. Banks should regularly monitor AI performance to identify changes in accuracy, reliability, fairness, or security.

Monitoring may include:

• Performance metrics
• Exception reporting
• User feedback
• Security events
• Model drift
• Periodic policy reviews

Ongoing oversight helps ensure AI continues to perform as intended and supports safe and sound banking practices.

Preparing for What's Next

Regulators are actively evaluating how AI should be supervised within the banking industry. While formal AI-specific requirements continue to evolve, today's examinations already focus on governance, operational risk, vendor management, cybersecurity, and consumer protection—all areas directly affected by AI.

Organizations that establish a practical AI governance program today will be better prepared for future regulatory expectations and better positioned to adopt AI confidently and responsibly. If you are wondering what AI governance would look like for your specific institution, give us a call! Here at Bedel Security, we are striving to stay ahead of the guidance and regulations and provide a model for our customers to stay ahead no matter what is eventually going to be said.

The goal isn't to slow innovation—it's to ensure innovation occurs within a framework of sound governance, effective risk management, and regulatory readiness. Banks that begin building that foundation now will be well positioned for whatever guidance comes next.