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AI in cybersecurity

12 of 270 banks (4%) in their 2025 annual reports. Banks that say they use or plan AI for cybersecurity, such as threat detection.

The banks

• Princeton Bancorp, Inc.
  PA · Mid-size bank ($1B to $50B)

  These include Sophos for advanced cybersecurity threat detection and response, Verafin for fraud detection and AML compliance, the Glia Chatbot for enhancing customer service interactions, and CATO Networks for AI-driven network security and optimization.

  Using AI nowRead it in the report
• U.S. Bancorp
  MN · Large bank ($50B and above)

  The Company also uses several models that employ methodologies based on AI or machine learning, which bring unique complexities, such as the need for large datasets for training, the potential for algorithmic bias, and the need for greater explainability in interpreting model decisions.

  Sees AI as a riskRead it in the report
• CNB Financial Corp
  PA · Mid-size bank ($1B to $50B)

  Further, adoption of AI tools by us or by third parties may pose new cybersecurity challenges. Threat actors may use AI tools to automate and enhance cybersecurity attacks against us. We use software and platforms designed to detect such cybersecurity threats, including AI-based tools

  Sees AI as a riskRead it in the report
• CVB Financial Corp
  CA · Mid-size bank ($1B to $50B)

  We have adopted an AI Policy that establishes a governance framework for developing, deploying, and managing AI and Generative AI (GenAI) solutions and initiatives, including those involving vendors.

  Explains how AI is controlledRead it in the report
• Community Financial System, Inc.
  NY · Mid-size bank ($1B to $50B)

  CFSI maintains enterprise-wide AI and Data Governance frameworks designed to promote the accuracy, privacy, security, and responsible use of data and AI across our operations. Executive oversight is provided by the Management Risk Committee and IT Steering Committee

  Explains how AI is controlledRead it in the report
• Finwise Bancorp
  UT · Small bank (Under $1B)

  We use generative AI for certain tasks like document drafting and data analysis, with an implementation of strict controls to protect customer data. Third-party AI assists us in cybersecurity, fraud detection, and code review, while our own agents handle compliance, policy analysis, and workflow

  Using AI nowRead it in the report
• First Busey Corp
  KS · Mid-size bank ($1B to $50B)

  The use of artificial intelligence-powered tools provide additional layers of fraud and threat detection, enabling proactive management.

  Using AI nowRead it in the report
• Flushing Financial Corp
  NY · Mid-size bank ($1B to $50B)

  we can increase our ability to detect and prevent cyber-attacks through automation and the implementation of security controls which leverage machine learning and artificial intelligence

  Using AI nowRead it in the report
• Hancock Whitney Corp
  MS · Mid-size bank ($1B to $50B)

  Our Board of Directors oversees the Company’s use of Artificial Intelligence (AI). Management has established an AI Working Group, which includes representatives from Legal, Compliance, Risk, and Information Technology.

  Explains how AI is controlledRead it in the report
• International Bancshares Corp
  TX · Mid-size bank ($1B to $50B)

  Our ISSP also applies to cybersecurity and data protection risks associated with artificial intelligence, including generative artificial intelligence whether those risks arise from our use of AI solutions or from AI-enabled threats and attack techniques used by malicious actors.

  Explains how AI is controlledRead it in the report
• Juniata Valley Financial Corp
  PA · Small bank (Under $1B)

  Although the Company does not currently make significant use of artificial intelligence (“AI”), machine learning, or similar advanced data analytics technologies in its operations, the financial services industry is increasingly incorporating AI-enabled tools in areas such as credit underwriting,

  Sees AI as a riskRead it in the report
• SB Financial Group, Inc.
  OH · Mid-size bank ($1B to $50B)

  network/endpoint detection and response coupled with advanced identification-enhanced logging capabilities powered by artificial intelligence software

  Using AI nowRead it in the report