pc
nid 95409
Sep 28, 2026
pdonofrio@vixio.com
Mississippi
MS DBCF Regulations and Laws
financial services
91% of draft length
draft in Generated
Generated
2129 charsMississippi Department of Banking and Consumer Finance Introduces AI Supervisory Framework for Money Service Businesses
On September 28, 2026, the Mississippi Department of Banking and Consumer Finance (DBCF) issued a memorandum introducing the AI Supervisory Framework (the "Framework"), a new supervisory resource developed through the Conference of State Bank Supervisors (CSBS) to help examiners and regulated institutions approach artificial intelligence (AI) use in a consistent, risk-based manner.
The Framework addresses the expanding use of AI across financial services, including in operations, customer communications, decision support, vendor-provided platforms, compliance functions, fraud detection, servicing, underwriting support, and generative AI tools. The DBCF developed the Framework as a practical, examiner-facing tool that draws on existing public materials, including supervisory guidance and cross-sector risk management frameworks, and organizes them around questions examiners must answer when reviewing an institution's use of AI. While designed primarily for examiners, any regulated financial institution may use the Framework to develop or refine risk management and governance practices for AI exploration, implementation, or ongoing use.
The Framework is principles-based and does not create new reporting obligations or supervisory requirements. It applies proportionately based on an institution's size, complexity, risk profile, and extent of AI use. The Framework includes a Core Examiner Guide with scoping questions, document request lists, and examination procedures; an Examiner Work Program; nonbank AI supplements addressing third-party vendor risks, model risk, and consumer protection; and an optional AI Use Case Risk-Tiering Worksheet for risk-based evaluation of individual AI use cases.
The DBCF encourages institutions to review current AI governance practices, policies, and inventories in light of the Framework's scoping areas and prepare for discussions regarding AI use during scheduled examinations beginning in 2027. The Framework will be reviewed and updated periodically as AI technology, public guidance, and supervisory experience evolve. Questions may be directed to MSB@dbcf.ms.gov.
Agent draft
Not run yet.
Published
1942 charsMississippi Department of Banking and Consumer Finance Shares AI Supervisory Framework for Money Service Businesses
On September 28, 2026, the Mississippi Department of Banking and Consumer Finance (DBCF) issued a memorandum introducing the AI Supervisory Framework , a new supervisory resource developed by the Conference of State Bank Supervisors (CSBS) to help examiners and regulated money services businesses (MSBs) approach artificial intelligence (AI) use in a consistent, risk-based manner.
The framework addresses the expanding use of AI across financial services, including in operations, customer communications, decision support, vendor-provided platforms, compliance functions, fraud detection, account servicing and underwriting support.
The framework was developed as a practical, examiner-facing tool that draws on existing public materials, including supervisory guidance and cross-sector risk management frameworks, and organizes them around questions examiners must answer when reviewing a MSB's use of AI. While designed primarily for examiners, the memorandum notes that any regulated MSB may use the framework to develop or refine risk management and governance practices for AI exploration, implementation or ongoing use.
The framework includes:
An examiner guide with scoping questions, document request lists and examination procedures.
An examiner work program.
Non-bank AI supplements addressing third-party vendor risks, model risk and consumer protection.
An optional AI use case risk-tiering worksheet for risk-based evaluation of individual AI use cases.
In the memorandum, the DBCF encourages MSBs to review current AI governance practices, policies and inventories in light of the framework's scoping areas, and to prepare for discussions regarding AI use during scheduled examinations beginning in 2027.
The framework, which will be reviewed and updated periodically as AI technology, public guidance and supervisory experience evolve, does not create new reporting obligations or supervisory requirements for MSBs.