Fraud and Disputes Rank as a Top Cost for 42% of Issuers

§ 01 Executive Snapshot

• What: A significant portion of card issuers identify fraud and disputes as a major operating cost.
• Who: 500 executives in head-of-payment roles at U.S. bank and non-bank card issuers, Visa Digital Processing Solutions.
• Why it matters: The rising complexity of fraud detection in the era of AI-driven transactions necessitates enhanced systems to balance security and user experience.

§ 02 Key Developments

• 42% of issuers rank fraud and disputes as their largest or second-largest platform-related operating cost, excluding employee costs.
• The share of issuers citing insufficient fraud systems and high false declines as a pain point increased to 21% from 14% year-over-year.
• 68% of high-CLTV issuers believe enhanced security and fraud prevention are necessary for agentic commerce, compared to 47% of medium-CLTV issuers and 43% of low-CLTV issuers.

§ 03 Strategic Context

• The increasing role of AI in transactions complicates the distinction between legitimate and fraudulent purchases, requiring issuers to adapt their fraud detection systems.
• As AI agents become more prevalent in commerce, issuers must enhance their fraud detection capabilities to avoid false positives while ensuring transaction security.

§ 04 Strategic Implications

• Immediate implications include the need for issuers to invest in AI-driven fraud detection systems to maintain transaction approval rates and customer satisfaction.
• Long-term, the adoption of real-time fraud detection will be essential for issuers, whether agentic commerce accelerates or evolves gradually.

§ 05 Risks & Constraints

• Potential risk includes regulatory challenges in implementing robust AI-driven fraud detection systems that comply with privacy and security standards.
• Competition from fintech firms that are rapidly innovating in fraud prevention could outpace traditional issuers’ capabilities.

§ 06 Watchlist / Forward Signals

• Watch for issuers' investments in AI-powered fraud detection systems over the next 12 months, particularly among high-CLTV issuers.
• Future developments in AI technology and its integration into payment systems will signal the success or failure of current fraud prevention strategies.