Data & Analytics
Detect Fraud in Real Time with AI
Advanced behavioural analysis and anomaly detection to block fraudulent transactions
Problem
Current situation
You are losing millions in undetected fraud, rule-based systems generate too many false positives, and detection comes too late.
Annual losses of several million euros in fraud
Obsolete rule-based systems (75% false positives)
Post-transaction detection (damage already done)
Fraudsters adapt faster than your rules
Solution
How AI solves the problem
ML models that analyse hundreds of signals in real time, detect unusual patterns and automatically adapt to new fraud techniques.
Analysis of hundreds of variables in <100ms
Real-time risk scoring per transaction
Detection of unknown fraud patterns (anomalies)
Continuous adaptation to new techniques
Drastic reduction of false positives
FAQ
Frequently asked questions
Implementation time?
Between 1 and 8 weeks depending on your infrastructure.
What ROI to expect?
Positive ROI within 3-6 months thanks to operational savings.
For what company size?
Large enterprises. Solution adapted to your scale.
Impact
Measurable results
Fraud detected
Before54%
After94%
+74%
False positives
Before73%
After8%
-89%
Losses avoided
Before0€
After3.2M€/an
Nouveau
Detection time
Before24h
After95ms
-99.9%