ALEXANDRIA, Va. — The National Credit Union Administration has introduced a suite of online resources designed to help credit unions evaluate and manage the growing use of artificial intelligence across financial services, according to the agency.
The NCUA said artificial intelligence continues to transform the financial services landscape, with credit unions increasingly exploring AI-driven tools to enhance member service, improve efficiency and remain competitive. At the same time, the agency cautioned that AI introduces unique risks that institutions must carefully navigate.
To address those challenges, the NCUA has compiled guidance and third-party resources focused on AI risk management, governance, data security, cybersecurity and implementation strategies. The materials are intended to support credit unions “as they evaluate, implement, and manage AI technologies,” the agency said.
According to the NCUA, credit unions adopting AI solutions face complexities that go beyond traditional vendor management, including understanding algorithmic decision-making, ensuring fair lending compliance, safeguarding member data, maintaining operational resilience and managing model risk.
Focus on Risk Management and Governance
The agency highlighted resources from the National Institute of Standards and Technology (NIST) and the Treasury Department’s Artificial Intelligence Executive Oversight Group, which provide frameworks and tools to help financial institutions design, govern and deploy AI responsibly.
“These resources can support the effort to build trustworthy AI systems that align with the cooperative principles and member-focused mission of credit unions,” the NCUA said.
The materials include guidance on identifying risks to individuals and organizations, as well as tools for managing cybersecurity risks tied specifically to AI adoption.
Implementation and Strategic Use
The NCUA also pointed to research from the Committee of Sponsoring Organizations of the Treadway Commission (COSO), which outlines how financial institutions can integrate AI into enterprise risk management frameworks.
The COSO guidance offers insight into governance structures, board oversight, risk appetite and performance monitoring, all of which may help credit unions make informed decisions as they deploy AI in areas such as fraud detection, member services and operational efficiency, the agency said.
Data Security and Cyber Risks
In addition, the NCUA cited resources from the Cybersecurity and Infrastructure Security Agency (CISA) addressing AI data security and system deployment.
Those materials include recommendations for protecting AI data supply chains, mitigating risks such as data manipulation and model drift, and securing application programming interfaces and system infrastructure.
The NCUA said these tools can help credit unions establish frameworks to protect sensitive member data and ensure the integrity of AI systems.
Fraud and Emerging Threats
The agency also directed credit unions to guidance from the Treasury Department’s Financial Crimes Enforcement Network on fraud schemes involving AI-generated “deepfake” media.
That report outlines how criminals may use AI to create fraudulent identities and documents, and provides red flags and best practices for detecting suspicious activity and strengthening verification processes, according to the NCUA.
Supporting Informed Adoption
Overall, the NCUA said the resource hub is intended to help credit unions at all stages of AI adoption—from initial exploration to more advanced implementation—by providing tools to balance innovation with safety and regulatory compliance.
“Whether you are beginning to explore AI solutions or seeking to enhance existing AI risk management practices, these resources are here to assist your credit union when considering AI tools,” the agency said.
The NCUA resources can be found here.
