Community Bank Data Sharing: Practical Connectivity, Persistent Constraints

Executive Summary

Every respondent affirmed that community banks share data with third parties, often as a core element of digitalization. Connectivity is service-dependent, most commonly via APIs and SFTP, but banks report security, liability, cost, and legacy-core constraints. Respondents cite API limitations (use-case specificity, modifications), core compatibility issues, and standardization gaps as recurring barriers. Banks mitigate with middleware, encryption, tokenization, contractual controls, and risk governance while pushing toward API-first standards for interoperability.

Key takeaways:

• 100% of responses for Question 10 indicated community banks do share data with third parties as part of digitalization.
• Connectivity is service-dependent, with APIs and SFTP cited as primary methods for secure data exchange.
• Major concerns include data breaches, unclear liability, and legacy system constraints.
• Constraints include third-party compatibility with legacy cores, uncertified vendors, and lack of standardization.
• APIs are often use-case-specific and require modification; costs and limited IT budgets challenge smaller banks.
• Banks rely on middleware, encryption, tokenization, and data-sharing agreements with risk oversight to secure exchanges.
• Stakeholders encourage API-first standards (modern, token-based REST/GraphQL) and certification programs to improve interoperability.
• SFTP remains prevalent at smaller institutions but is viewed as less scalable than API integrations.

Bottom line:

Community banks widely share data with third parties using APIs and SFTP, but face persistent security, liability, legacy-core, and standardization challenges. They are moving toward API-first, standardized approaches, supported by layered security and risk governance, to achieve secure, interoperable, and scalable data exchange.

The Question (Ref #10)

Data Sharing: To what extent do community banks share data with third party providers, including fintechs, as part of a digitalization strategy or initiative? What challenges or concerns are encountered in facilitating secure and compliant data sharing? How are community banks managing connectivity (e.g., by using an application programming interface (API), secure file transfer protocol (SFTP), or some other method) for the secure sharing of data with third-party providers? Are there any limitations or constraints within community banks’ API offerings, such as restrictions on functionality, data accessibility, scalability, or third-party compatibility? If so, what measures, frameworks, or technologies are community banks using to ensure seamless data exchange, interoperability, and secure communication across different platforms, core banking systems, and external fintechs?

Direct Response to the Catalog Question

Introduction

Question 10 asks how extensively community banks share data with third-party providers, including fintechs; what security and compliance concerns arise; how connectivity is managed (API, SFTP, or other); and whether API offerings carry limitations that affect functionality, access, scalability, or compatibility—and what measures ensure interoperability and secure communication across platforms and core systems.

Historic Lessons in the Evidence

Respondents’ reasoning highlights a pattern: when legacy cores and nonstandard integrations dominate, banks resort to workarounds (e.g., SFTP) that lack scalability, while API integrations become fragmented and costly to modify. Over time, governance and contractual controls expanded to manage risk and liability across multi-party data flows, but technical inflexibilities and opaque vendor arrangements continued to constrain innovation. This history underpins today’s push toward standardized, API-first approaches with layered security to reduce friction and risk.

Recent Developments

Not observed in the provided materials.

The Challenge

Banks must securely connect aging core platforms to diverse fintech ecosystems while balancing liability, cybersecurity, and compliance. Respondents report API gaps, uncertified vendors, compatibility issues with legacy cores, and uneven transparency, all of which increase integration costs and oversight complexity. Smaller institutions face additional budget constraints, making scalable, standards-based connectivity harder to achieve.

Evolving Metrics

Evidence is largely qualitative: respondents describe ‘varying levels’ of data shared through vendors, ‘service-dependent’ connectivity (APIs/SFTP), and resource constraints limiting API adoption. The quantitative signal is unanimity—100% Yes responses with full coverage—indicating broad engagement in data sharing, but detailed performance metrics were not provided. Institutions instead justify approaches via governance artifacts, agreements, and security controls rather than numeric benchmarks.

A Framework Inspired by the Inputs

An implicit approach emerges choose connectivity by service fit (APIs for real-time fine-grained exchange; SFTP for batch), harden exchanges with encryption and tokenization, and govern via data-sharing agreements and third-party risk programs. Where legacy cores restrict integrations, banks insert middleware and advocate API-first, standardized interfaces and certification to ensure interoperability and reduce modification overhead.

Case Study

A representative pattern shows a smaller bank relying on SFTP for file transfers due to legacy-core constraints, then incrementally adopting APIs for scalability and timeliness. Along the way, the bank confronts use-case-specific APIs requiring modifications and core-provider compatibility issues, mitigated through middleware, encryption, tokenization, and data-sharing agreements coordinated with the risk function. This approach improves interoperability while managing cost and liability concerns.

Recommendations

1. Prioritize API-first integrations where feasible, adopting modern, token-based REST or GraphQL interfaces to improve interoperability.
2. Maintain SFTP for service-dependent or batch use cases, while planning migrations to APIs to address scalability constraints.
3. Insert middleware to bridge legacy core limitations and reduce costly, bespoke API modifications.
4. Embed layered safeguards such as encryption, tokenization, and strong authentication, across data-sharing channels.
5. Formalize data-sharing agreements and strengthen third-party risk governance to clarify liability and oversight.
6. Address compatibility and certification hurdles by engaging core providers and participating in data-exchange certification programs.
7. Allocate budget and technical assistance toward standardization efforts to lower long-run integration and maintenance costs.

Conclusion

All respondents indicate that community banks share data with third-party providers as part of digitalization, primarily via APIs and SFTP. The central challenges are security and liability exposure, legacy-core and compatibility constraints, and standardization gaps that drive cost and complexity. Banks are responding with layered security, governance, middleware, and a migration path to API-first standards to achieve seamless, secure interoperability. This trajectory directly addresses Question 10’s core concern: enabling compliant, scalable data sharing across cores, platforms, and fintechs.

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