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Articles / payments-fintech-infra / 24% of Bank CEOs Put AI Cybersecurity First

24% of Bank CEOs Put AI Cybersecurity First

May 13, 2026 · Source: pymnts.com · Topic:  payments-fintech-infra · fintech
Fraud Growth Rate
2-3x
Fraud attempts targeting embedded finance products are growing two to three times faster than those in traditional banking.
Fraud Risk Reduction
74%
Users credit embedded finance with reducing fraud risk by 74% when controls are integrated into workflows.
Projected Transaction Value
$7 trillion
Embedded finance is projected to exceed $7 trillion in transaction value by 2026.

⦿ Executive Snapshot

  • What: A report highlights the growing importance of embedded payments and the challenges of fraud prevention in this evolving landscape.
  • Who: Key players include WEX, PYMNTS Intelligence, banks, and FinTech companies.
  • Why it matters: The shift towards embedded finance is reshaping transaction dynamics, necessitating advanced fraud prevention strategies to keep pace with rapid changes.

⦿ Key Developments

  • Fraud attempts targeting embedded finance products are estimated to be growing two to three times faster than those across traditional banking channels.
  • 35% of organizations have delayed embedded finance and banking-as-a-service initiatives due to fraud concerns.
  • Users credit embedded finance with reducing fraud risk by 74%, indicating the potential for safer transactions when controls are integrated into workflows.

⦿ Strategic Context

  • Embedded finance has transitioned from a conceptual stage to a foundational aspect of modern business operations, projected to exceed $7 trillion in transaction value by 2026.
  • The evolution of fraud prevention is moving away from post-transaction detection to pre-emptive measures that integrate with business processes, reflecting a broader trend in financial technology.

⦿ Strategic Implications

  • The immediate consequence is the need for businesses to adapt their fraud prevention strategies to cater to the rapid transaction speeds and complexities introduced by embedded payments.
  • In the long term, the integration of AI and enhanced security measures could lead to a more robust and confident adoption of embedded finance solutions across various industries.

⦿ Risks & Constraints

  • Older fraud detection tools may not be effective in the fast-paced environment of embedded payments, posing a significant risk to businesses.
  • The shared responsibility for transactions among multiple stakeholders, including banks and software providers, complicates fraud management and increases vulnerability.

⦿ Watchlist / Forward Signals

  • Key indicators of success will include the implementation timelines for AI in fraud prevention and the effectiveness of new embedded payment controls.
  • Future developments in regulatory frameworks and industry standards for embedded payments will signal the maturity and safety of this financial innovation.
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