Improvement in transaction fraud detection for a major bank
More fraud detected in high-risk bands using AI-powered risk insights
AI‑powered biometric face matching accuracy
Deepfakes stopped in 2025, with detection volumes continuing to rise
This means adhering to our TRUST framework:
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Better data quality and context |
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Higher risk detection accuracy |
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Improved alert prioritisation |
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Clearer decision rationale |
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Less manual effort |
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Faster data interpretation and documentation |
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Reduce unnecessary friction |
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Improve conversion rates |
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Enhance detection accuracy |
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Enhance visibility of omni-channel interactions |
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Automate complex analysis and rule optimisation |
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Better detect identity fraud and deepfakes |
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