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Article
Banks Struggle to Control AI Risks as Adoption Accelerates
Banks are rapidly adopting AI to improve efficiency across fraud, risk, and third party management, but governance, accuracy, and accountability lag behind. As human oversight collides with automation, firms are redefining policies, controls, and contracts to prevent over reliance, data misuse, and regulatory exposure.
Feb 16, 2026
Center for Financial Professionals ,
Tags:
ALM, Treasury and Liquidity Risk
The views and opinions expressed in this content are those of the thought leader as an individual and are not attributed to CeFPro or any other organization
- AI is delivering
major efficiency gains in fraud, risk, and third party oversight
- Productivity benefits
are strongest in document review and process automation
- Over reliance on AI
outputs is emerging as a material operational risk
- Human expertise
remains critical to detect errors and prevent regulatory failures
- Governance frameworks
exist but are often bypassed in practice
- Firms are shifting
toward licensed enterprise AI to limit shadow usage
- Vendor contracts are
becoming a frontline control for AI and data risk
- Regulation is
lagging, forcing banks to define their own risk standards
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