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"AI for fraud detection in financial services"

Discover how AI and accelerated computing transform fraud detection in financial services.

Fraud is no longer isolated or manual. It has become distributed, increasingly automated, and adaptive. As financial institutions adopt mobile-first banking, embedded payments, and open banking, fraudulent tactics have evolved accordingly. Synthetic identities, account takeovers, and authorized push payment (APP) fraud have replaced traditional stolen credit cards and forged documents.

Traditional rules-based fraud detection systems are often insufficient. They generate high false positive rates, lead to operational inefficiencies, and are ineffective at identifying evolving fraud patterns. As fraud becomes faster, more complex, and increasingly coordinated, financial institutions are moving beyond static rules-based methods. They are deploying cloud-native workflows that leverage artificial intelligence (AI), machine learning (ML), and generative AI. These tools continuously learn from transactional and behavioral data, enabling more accurate identification of established and emerging fraud patterns.

Cloud-based platforms that leverage accelerated computing infrastructure enable scalable fraud detection by reducing model training time and supporting ultra-low latency inference. Combined with advanced techniques such as graph analytics, financial institutions can uncover hidden relationships across accounts, devices, and user activity. Together, these capabilities deliver a scalable, secure, and efficient approach to fraud detection that keeps pace with evolving threats.

 

Download the spotlight paper to explore:

• The challenges faced in fraud detection and prevention
• Research insights on emerging fraud trends and industry priorities
• Why AI-driven detection is becoming a baseline requirement for financial institutions
• How a scalable cloud environment powered by accelerated computing enables real-time, adaptive fraud detection

Find out more today.

Offered Free by: Amazon Web Services (AWS) and NVIDIA
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