Finance and Banking

Stopping Financial Fraud in Real Time with AI

goal

Challenge Faced

Banks and fintechs lose billions annually to fraudulent transactions, identity theft, and cybercrime. Traditional rule-based monitoring often misses evolving fraud patterns.

solution

Our Solution

We implemented an AI fraud detection engine that monitors every transaction in real-time, detecting anomalies and preventing financial losses.

Tools we used

Approach

Step-by-Step Workflow

Step 1

Stream transactional data across channels.

Step 2

ML models analyze spending patterns and detect anomalies.

Step 3

AI flags suspicious transactions instantly.

Step 4

Alerts are sent to compliance/security teams or blocked in real time.

Quantifiable Benefits

Reduction in fraud-related losses
%
Faster fraud detection response time
0 %
Fewer false positives compared to rules-based systems
%
Improved compliance with global financial regulations
%

Who’s Using This

Mastercard AI Risk Management

Innovation 1

PayPal real-time fraud detection

Innovation-2

Global banks like HSBC, Citi, and SBI

Private Surgical Training Institutes

Why It Matters

AI protects financial institutions and customers by staying ahead of evolving fraud patterns.

case studies

Real Results. Real Impact.

See how these use cases helped industry leaders transform operations with AI & XR.

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