Fraud & Risk Detection
Find patterns humans miss, stop threats before they scale
€50B
lost to VAT fraud alone in the EU every year — Europol
Gigabytes
of sensitive financial data processed locally — no cloud, no exposure
100%
data sovereignty — runs entirely on your own infrastructure
Why Rules-Based Systems Fail
Fraudsters know the rules. They stay below thresholds, use aged accounts, and rotate tactics faster than any compliance team can update conditions. The result: investigators buried in false positives, genuine fraud slipping through the gaps, and a system that gets slower and more expensive to maintain as rules multiply. The bigger problem: fraud doesn't happen in isolation. It hides in networks — shell companies, related accounts, cross-border transactions that look innocent individually but tell a different story together. No set of rules can see that.
What's changed is the technology. Specialised open source language models — not frontier models from the big cloud providers, but smaller models purpose-built for financial investigation — can now run entirely on-premise. Work that used to require a team of investigators can be done in minutes. The bottleneck is no longer processing power or analyst hours. It's having the right system in place.
How AI Detects What Rules Miss
Pattern Recognition
AI identifies complex multi-dimensional patterns across millions of transactions simultaneously. Catches coordinated fraud rings, velocity patterns, and behavioral anomalies that rules can't see.
Network Analysis
Map relationships between entities — accounts, devices, IP addresses, beneficiaries. Expose hidden connections between seemingly unrelated actors. Detect money mule networks, synthetic identity rings, and collusion schemes.
Adaptive Learning
Fraud patterns evolve. Rule-based systems stay static. AI continuously learns from new fraud cases, adapts to emerging schemes, and updates detection models without manual intervention.
Precision Alerting
95% reduction in false positives means your team investigates real fraud, not noise. AI prioritizes cases by risk score, provides evidence summaries, and routes alerts to the right team automatically.
What We Detect
Transaction Fraud
Payment fraud, card fraud, account takeover, authorized push payment scams. Real-time detection across digital and traditional channels.
Insurance Fraud
Claims fraud, application fraud, provider fraud. Pattern matching across historical claims, network analysis of linked parties, anomaly detection in claims behavior.
Procurement Fraud
Vendor fraud, bid rigging, invoice manipulation, conflict of interest detection. AI analysis of procurement patterns, supplier relationships, and approval workflows.
Internal Fraud
Employee fraud, data theft, unauthorized access, expense fraud. Behavioral analytics, access pattern monitoring, and anomaly detection on internal systems.
95%
reduction in false positive alerts
70%
increase in fraud detection rate
Real-time
detection and alerting
Ready to stop fraud before it scales?
Speak with our Fraud & Risk Detection director to learn how AI can protect your organization from evolving threats.