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Stop fraud before it starts and modernise the systems that catch it

Financial fraud is growing faster than traditional detection methods can keep up. EXL and NVIDIA give UK banks a smarter, faster way to detect and prevent fraudulent activity without replacing what already works.

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An optimisation play, not a rip-and-replace

 

Modernising your fraud detection stack does not have to mean starting from scratch. EXL and NVIDIA's solution is designed to work alongside your existing fraud models, layering advanced graph neural network (GNN) intelligence on top of, or in front of, your current systems to close the gaps that rule-based approaches leave open.

The result: sharper fraud signals, fewer false positives, and faster decisions built on infrastructure you already trust.

Why partner with EXL and NVIDIA?

Catch fraud earlier

<p>Graph neural networks surface complex, hidden relationships between transactions and entities that traditional models miss. Fraud signals are identified sooner, before losses occur.</p>

Modernise your fraud models

<p>Augment your existing fraud detection capabilities with new GNN-powered intelligence. You do not need to rebuild from the ground up. EXL and NVIDIA enhance what you already have, accelerating time-to-value.</p>

Reduce false positives

<p>NVIDIA's Financial Fraud Detection Blueprint produces fraud scores alongside Shapley values for full explainability, helping your teams act with confidence and reduce unnecessary customer friction.</p>

Scale with confidence

<p>Built on NVIDIA's enterprise-grade infrastructure including NVIDIA Dynamo-Triton for high-performance inference and NVIDIA RAPIDS for data preparation the solution is engineered for the demands of tier-one banking environments.</p>

Deploy without deep AI expertise

<p>The NVIDIA Financial Fraud Training container automates the full GNN + XGBoost model pipeline. Your data science teams can build and update advanced models without specialist graph network knowledge.</p>

Stay ahead of evolving tactics

<p>Fraud tactics change constantly. The solution is designed for continuous model updates, ingesting new data and refreshing models frequently to keep detection capabilities current.</p>

How it works

01
<p><strong>Assess your current fraud detection landscape</strong></p><p>EXL works with your team to map existing models, identify detection gaps, and define where graph intelligence will deliver the greatest uplift.</p>
02
<p><strong>Layer GNN intelligence into your workflow</strong></p><p>NVIDIA's Financial Fraud Detection Blueprint is implemented in front of, or on top of, your existing fraud models, enhancing detection without disrupting live systems.</p>
03
<p><strong>Build and deploy your fraud detection model</strong></p><p>The Financial Fraud Training container prepares your data, builds a GNN + XGBoost model, and generates all configuration files needed for immediate deployment via NVIDIA Dynamo-Triton.</p>
04
<p><strong>Score transactions in real time</strong></p><p>Each transaction receives a fraud score alongside explainability outputs, giving your fraud and compliance teams the clarity they need to act quickly and accurately.</p>
05
<p><strong>Continuously improve</strong></p><p>As new fraud patterns emerge, models are updated regularly, ensuring your detection capabilities evolve in step with the threat landscape.</p>

Frequently asked questions

Do we need to replace our existing fraud detection systems?
<p>No. The EXL-NVIDIA solution is an optimisation play. Graph neural networks are implemented alongside your current fraud models, not in place of them. This protects your existing investments while meaningfully improving detection accuracy.</p>
What is a graph neural network, and why does it matter for fraud detection?
<p>A graph neural network (GNN) analyses relationships between data points such as shared devices, accounts, or transaction patterns to surface fraud signals that isolated, rules-based systems cannot detect. This is particularly effective against organised fraud rings and synthetic identity fraud.</p>
How does the solution explain its fraud scores?
<p>The NVIDIA blueprint produces Shapley values alongside each fraud score. These provide clear, interpretable explanations for why a transaction has been flagged supporting your compliance and operational teams in making informed decisions.</p>
What infrastructure does this solution require?
<p>The solution is built on NVIDIA's enterprise-grade stack, including NVIDIA Dynamo-Triton for inference and NVIDIA RAPIDS for data processing. EXL works with your technology teams to align deployment with your existing infrastructure requirements.</p>
How quickly can the solution be deployed?
<p>Deployment timelines depend on the complexity of your existing environment. EXL's implementation teams are experienced in working within regulated, tier-one banking environments, and will work to minimise disruption throughout the process.</p>
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See what EXL and NVIDIA can do for your fraud detection

Financial losses from global credit card fraud are anticipated to escalate significantly over the next decade. Institutions that proactively strengthen their defenses through advanced technologies, such as graph intelligence, will be better equipped to mitigate these risks. See what EXL and NVIDIA can do for your fraud detection.

Speak to our team to discover how the EXL-NVIDIA fraud detection solution can modernise your fraud capabilities, enabling you to stay ahead in an evolving threat landscape.

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