Curated Insights is our knowledge hub for community banks and financial institutions. Here, we break down complex cybersecurity issues into clear, actionable guidance you can use.
Simplifying Your Cybersecurity Journey
Simplifying Your Cybersecurity Journey
Artificial intelligence has moved from a future conversation to an active operational topic inside community banks. Tools that draft documents, summarize meetings, classify customer inquiries, and assist underwriting decisions are now embedded in routine workflows. Adoption is rarely centralized. It is occurring department by department, often without formal review.
Examiners have noticed.
Recent FFIEC examination cycles increasingly include questions about how AI is being used inside the institution, which vendors provide it, what data flows through those systems, and how the bank governs that use. The questions are not theoretical. They reflect a regulatory expectation that banks understand and oversee AI as part of broader third-party risk and information security programs.
Many community banks are not yet prepared for that conversation.
Traditional vendor management programs were designed around contracted services with clear procurement paths. A new core processor, a new fraud monitoring platform, or a new compliance tool moves through a defined intake process. Risk tiering occurs. Due diligence is documented.
AI tools rarely follow that path.
They often enter the bank as features inside existing software, as free tier subscriptions adopted by individual employees, or as embedded capabilities in vendors that were already onboarded years ago. A loan officer may begin using an AI assistant to summarize meeting notes. A marketing employee may paste customer-facing copy into a generative platform for editing. A risk analyst may experiment with an AI tool to draft policy language.
None of these activities trigger procurement review. Yet each one represents a potential information flow that the bank cannot fully account for.
This pattern produces several recurring blind spots:
Examiners are aware of all four patterns. They will ask.
Examiner questions about AI are not designed to penalize adoption. They are designed to confirm that the bank treats AI tools with the same rigor applied to other technologies that handle sensitive data.
Specifically, examiners look for:
Banks that cannot produce these artifacts often discover the gap during the exam itself. By that point, remediation occurs under pressure rather than through measured planning.
Strong AI governance does not require a dedicated AI program. It requires extending existing governance structures to include AI use as a defined risk category.
This includes integrating AI considerations into vendor intake forms, refreshing acceptable use policies to address generative tools, and creating a lightweight inventory process that captures AI use across departments. The objective is visibility, not prohibition.
Bank leadership should be able to answer four questions with confidence:
If those answers require investigation, the governance gap is operational rather than theoretical.
Curated Cyber works with community banks to integrate AI oversight into existing governance structures rather than building parallel programs. Through the vCISO model, AI use is treated as an extension of third-party risk management and information security oversight. These are our typical starting points.
This typically includes building a current-state inventory of AI tools in use, refreshing vendor risk tiering criteria to address AI-specific factors, updating acceptable use policies with practical guidance for employees, and aligning board reporting to include AI exposure as a defined topic.
Vendor Lifecycle Assurance, Curated Cyber’s vendor oversight program built on the ViClarity platform, supports this work by tracking AI capabilities embedded in existing vendor relationships and flagging fourth-party AI subprocessors that may require review.
The objective is exam readiness without operational disruption.
AI is not the threat. Unmanaged AI use is.
Banks that build oversight into their AI strategy from the start avoid the scramble of retrofitting governance during an examination. Banks that delay often discover the cost of that delay only when an examiner asks the question they have not yet answered for themselves.
Governance maturity is not measured by the absence of AI. It is measured by the ability to demonstrate informed, structured oversight of how AI is used.
Examiners are not asking whether community banks use AI. They are asking whether community banks know how they use AI. The difference between those two questions is where governance begins.
