Visa Uses Artificial Intelligence to Enhance Payment Security and Personalization

Visa leverages Artificial Intelligence to revolutionize payment security, prevent fraud, and offer personalized services to its global customers.

Visa is leveraging Artificial Intelligence to transform its payment services, focusing on making transactions smarter and safer for its global customer base. By integrating new technologies, Visa aims to bolster fraud prevention, enhance personalization, and explore the future of agentic commerce. Sarah Laszlo, senior director of Visa’s machine learning platform, recently discussed these efforts, highlighting the impact of Artificial Intelligence on the next generation of payment solutions.

Visa processes hundreds of billions of transactions every year, and even minor improvements in technology can yield significant benefits. Laszlo noted that Visa successfully prevents a substantial volume of fraudulent activity annually, emphasizing that every marginal gain in fraud detection translates into sizable financial savings. The company’s application of Artificial Intelligence extends to personalization, where smart algorithms analyze Visa’s vast dataset to deliver timely and relevant offers and recommendations to cardholders. However, the use of such data also raises privacy concerns, which Visa addresses by creating abstract user representations, or embeddings, that safeguard sensitive information while capturing user preferences.

Looking forward, Visa is advancing toward agentic commerce—an ecosystem where Artificial Intelligence-powered agents, equipped with payment credentials, can autonomously complete transactions at a customer’s behest. This could mean booking travel or finalizing purchases without requiring direct user intervention, streamlining the consumer experience. Laszlo also shared best practices for enterprise adoption of generative Artificial Intelligence, advocating for open-source models and closer alignment between governance and engineering teams. As a case in point, Visa utilized the GPT-4 model to update legacy code to Python, resulting in significant savings and improved efficiency with minimal engineering resources. The company´s ongoing initiatives underscore the transformative potential of Artificial Intelligence in financial services, blending innovation with security and user-focused experiences.

72

Impact Score

Uk delays Artificial Intelligence copyright reform

The UK government has postponed immediate copyright reform for Artificial Intelligence, leaving developers, creatives, and rightsholders to operate under existing law. Licensing, transparency, digital replicas, and future litigation are now set to shape the next phase of policy.

Memory architecture is central to autonomous llm agents

Memory design, not just model choice, determines whether autonomous agents can sustain context, learn from experience, and stay reliable over time. A practical framework centers on how information is written, managed, and read across multiple memory types.

OpenAI expands cyber model access through trusted program

OpenAI has introduced GPT-5.4-Cyber as a restricted model for cybersecurity professionals, widening access through its Trusted Access for Cyber program. The release highlights both the defensive value and misuse risks of more capable Artificial Intelligence tools in security work.

Contact Us

Got questions? Use the form to contact us.

Contact Form

Clicking next sends a verification code to your email. After verifying, you can enter your message.