Fraud Detection
Machine Learning Fraud Detection. Not Rules. Real Intelligence
99.7% fraud detection. 0.1% false positives. Zero manual rules to maintain
Rules vs Machine Learning
❌ Traditional Rules
- ✕ Blocks legitimate customers
- ✕ Misses sophisticated fraud
- ✕ Needs constant manual updates
- ✕ One-size-fits-all
Detection~75%
False positives~5%
✅ Zyrix AI
- ✓ Analyzes 100+ signals simultaneously
- ✓ Learns from every transaction
- ✓ Adapts to new fraud patterns automatically
- ✓ Per-merchant learning
Detection99.7%
False positives0.1%
Live Risk Assessment
Low Risk
✅ Approve
Risk Score Breakdown: 2/100
| Factor | Impact | Detail |
|---|---|---|
| — | ||
Mitigating factors
✓Valid card (Luhn passed) — Luhn check passed-3
Fraud Analytics· Last 30 days
47,234
Total transactions
423
0.9%
Flagged for review
187
0.4%
Blocked
12
0.025%
Confirmed fraud
5
0.011%
False positives
Money protected: $234,500
Top fraud patterns
Card testing (rapid small amounts)45%
Stolen card (country mismatch)28%
Friendly fraud (known customer)15%
Account takeover12%
AI + Custom Rules — Best of Both Worlds
Let AI handle 99% of decisions. Add your own rules for the 1% you know best. AI respects your rules but still scores everything
Examples
“Always require 3D Secure for transactions > $1000 from new customers”
“Always approve purchases from email domain @company.com”
“Block all transactions from a specific country”