Faster Detection
Instant alerts reduce fraud detection time from days to seconds.
Fraud Shield
AI-Powered Fraud Detection & Prevention
Fraud Shield is an advanced AI-driven solution that detects and prevents fraudulent activities in real-time, ensuring secure and seamless financial transactions. By leveraging AI, machine learning, and automation, Fraud Shield delivers 99.5% fraud detection accuracy while reducing false positives by over 60%.
AVENIR DIGITAL
How AI & Automation Combat Fraud
01
AI continuously analyses transactions, instantly flagging suspicious activities, processing up to 100,000 transactions per second.
02
Identifies unusual behaviour and emerging fraud patterns using AI-driven behavioural analytics, reducing fraud incidents by up to 80%.
03
Uses historical data and machine learning to anticipate and prevent fraud before it happens, leading to a 35% faster response time.
04
RPA automates data verification, alerts, and case management, cutting manual fraud review costs by 50%.
05
AI-powered biometric and document verification ensures identity security, preventing 90% of identity fraud cases.
06
AI evolves with new fraud tactics, continuously improving detection models and staying 10x ahead of emerging threats.
Key Benefits
Higher Accuracy
Reduced false positives and negatives, ensuring 99.5% detection precision.
Lower Costs
Automation minimizes manual effort, reducing fraud-related operational costs by 40%.
Stronger Security
Proactive fraud prevention leads to millions in annual fraud loss savings.
Faster Detection
Instant alerts reduce fraud detection time from days to seconds.
Higher Accuracy
Reduced false positives and negatives, ensuring 99.5% detection precision.
Lower Costs
Automation minimizes manual effort, reducing fraud-related operational costs by 40%.
Stronger Security
Proactive fraud prevention leads to millions in annual fraud loss savings.
With Fraud Shield, businesses gain a powerful, AI-driven defence against fraud, ensuring compliance, security, and seamless financial operations.
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