Detect Fraud Before It Happens
Our AI solutions identify suspicious transactions in real time, reduce losses, and enhance security – preventive, dynamic, and explainable. By continuously learning from evolving fraud patterns, we help financial institutions stay ahead of threats and protect customer trust.
The Challenge:
Complex Fraud Patterns and Growing Data Volumes
Digital business models, online payments, and automated processes create new risks:
Fraud patterns are becoming more complex, deception more subtle – while traditional rule-based systems react too slowly.
Manual checks are error-prone and costly, static systems generate too many false positives. Banks, insurers, and payment providers need preventive, adaptive systems that detect threats before they cause damage.
The Solution:
AI-Powered Fraud Detection
KEBA Digital combines machine learning, anomaly detection, and real-time data analytics to automatically identify fraud attempts. The AI learns from millions of transactions and detects even the smallest deviations from normal behavior – in milliseconds.
The result: a proactive security ecosystem that stops fraud before it impacts your business. Continuously evolving to counter new attack patterns, it ensures resilience, regulatory compliance, and customer trust – all at enterprise scale.
Preventive Detection Through Anomaly Analysis
Our AI models identify irregularities in transaction data, application flows, or user behavior that indicate potential fraud.
Historical patterns and current activities are continuously compared.
Technologies: Clustering, Random Forests, Autoencoders, Isolation Forest, Neural Networks.
Beneftis:
- Real-time detection of fraud scenarios
- Self-learning systems without rigid rules
- Minimization of false positives
Pattern Recognition Across Multi-Channel Data
Whether online banking, POS payments, or insurance applications – KEBA Digital’s AI analyzes data across all channels.
This enables detection of fraudulent activities spread across multiple systems or accounts.
Benefits:
- Holistic analysis across all data sources
- Identification of hidden fraud chains
- Early warning for suspicious networks
Explainable AI – Transparent Decisions
Trust is critical in financial services and insurance.
With Explainable AI (XAI), KEBA Digital makes AI decisions transparent and auditable.
Auditors and analysts can always see which factors influenced risk scoring.
Benefits:
- Explainable risk assessment for compliance and audits
- Transparency for customer interactions
- High regulatory security
Visualization of Anomalies in Transaction Data
This visualization shows a projection of transaction data: dense clusters represent typical patterns, while isolated points indicate potentially unusual behavior – a key step in anomaly and fraud detection.
What becomes clear?
- Outliers and suspicious patterns are visible
- Potential risk cases can be identified
- Provides a foundation for advanced analysis and AI models
Technological Foundation
KEBA Digital’s fraud detection solution is modular, scalable, and designed for maximum response speed.
- Machine Learning (Random Forest, XGBoost)
- Deep Learning (Embeddings, Transformer Models)
- Graph-Based Network Analysis
- Explainable AI (XAI)
- Realtime Scoring Engine
Your Benefits
with KEBA Digital
Faster Detection
Real-time transaction scoring reduces response times
Lower Losses
Early identification prevents financial damage
High Accuracy
AI minimizes false positives and reduces analyst workload
Regulatory Security
Transparent, auditable decisions thanks to Explainable AI
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