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      Report

      The Evolving Challenge of Regulatory Compliance in Model Risk Management

      Published July 22, 2025

      Fintech Credit Decisioning Risk Management
      The Evolving Challenge of Regulatory Compliance in Model Risk Management

      As regulations continue to change, financial institutions must establish robust risk management practices and adopt technology that matches the scale and speed of compliance requirements.

      Key priorities include:

      • Strengthening model governance and transparency
      • Enhancing explainability and responsible AI integration
      • Reducing compliance burden through seamless automation
      • Ensuring consistency across model validation and approval processes

      Read our full report to learn more about the growing importance of monitoring, transparency, and automation in model risk management.

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      The scale of global cyberattacks continues to rise, and 2026 is poised to be the year of AI in cybersecurity.

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      • The rise of synthetic identities built from stolen data
      • AI overtaking human error as the top cause of breaches
      • The growing risk of AI and quantum computing cyberattacks
      • Emerging threats like mutating malware, brain hacking and a shrinking gender gap among hackers

      Gain insight into the trends shaping the future of data security. Download the full forecast to prepare for what’s ahead.

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      • Reveal hidden financial stability in members.
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      • Enable more accurate and inclusive lending decisions.
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      Understanding Every Member with Alternative Data

      Credit unions exist to serve all members of their communities. Yet millions of financially responsible individuals remain invisible to conventional scoring. Download our alternative data guide to discover:

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