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Al-Powered Data Product for Fraud Detection & Risk Assessment
Transform data into actionable intelligence to prevent fraud and improve credit decisions.
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The Challenge: Complex Online Fraud & Risk
Online lending, e-commerce, and digital banking face growing challenges - from fake identities and synthetic users to credit defaults. Traditiona verification can't keep up with rapidly evolving fraud tactics. Businesses need data-driven, Al-enhanced insights to stay protected.
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Fake Identities
Synthetic users and identity fraud are increasingly sophisticated
Credit Defaults
Rising default rates impact profitability and growth
Outdated Methods
Traditional verification can't keep pace with evolving threats
Intelligent Data Fusion
Identity Verification

Identity Verification

Authenticate users by cross-referencing official databases with biometrics to reduce fraud and manual review, supporting customer onboarding and risk screening.

Behavior & Qualification Insights

Behavior & Qualification Insights

Multi-dimensional data analysis covering High Risk List, Telco Intelligence, Social Network Detection, Multiple Accounts, Payment Detection and Income Verification.

Scoring Solution

Scoring Solution

Al-powered and deep learning-based credit scoring for instant decision making,including General Scoring Solution and Bespoke Scoring Solution

Outcomes that Make an Impact
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Challenges:
The client struggled with fragmented data, outdated risk modlels and complex regulatory requirements that hindered accurate risk assessment.
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Solutions:
Dyna.Ai implemented an Al-driven risk intelligence system that unified data sources, built advanced risk features, and enabled real-time, data-driven decision-making.
<1 mins
Complete lending application
+30%
Model KS
+30%
Lift of risk control rules
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