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Visa’s AI edge: How RAG-as-a-service and deep learning are strengthening security and speeding up data retrieval
- Visa utilizes RAG-as-a-service and deep learning to enhance security and speed up data retrieval, particularly in dealing with complex policy-related questions across different countries.
- The use of generative AI has allowed Visa's client services team to access information up to 1,000 times faster, improving the quality of results and operational efficiency.
- Visa introduced 'Secure ChatGPT' to address employees' demand for AI tools within a secure environment, ensuring data confidentiality and control.
- Secure ChatGPT offers several model options such as GPT, Mistral, Anthropic’s Claude, Meta’s Llama, Google’s Gemini, and IBM’s Granite, providing versatility and customization.
- Visa's data infrastructure investment of around $3 billion in the past decade strengthens their AI capabilities with a multi-layered tech stack.
- Visa focuses on fraud prevention through AI, investing over $10 billion to enhance network security and block attempted fraud, totaling $40 billion in 2024.
- Technologies like deep learning recurrent neural networks aid Visa in transaction risk scoring for CNP payments, while transformer-based models improve real-time fraud detection.
- Synthetic data is used to augment existing data for fraud prevention simulations, staying ahead of cyber threats in an evolving landscape.
- Visa's AI tools, backed by deep learning and secure frameworks like RAG-as-a-service, exemplify the company's commitment to innovation and data-driven security measures.
- Continuous testing of AI models ensures performance, unbiased outcomes, and effective fraud mitigation across Visa's expansive global operations.
- Through strategic investments in AI technologies and data infrastructure, Visa is able to deliver faster, more secure services while upholding strict data protection standards and fraud prevention protocols.
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