Real-Time Transaction Anomaly Monitor

NorthShore Payments • Live Detection Stream • Refreshed 12 sec ago

Gross Fraud Loss Rate
38.4bps
+12.1 bps
CNP Chargeback Ratio
0.91%
+0.28%
Visa threshold: 1.0%
Anomaly Detections (15m)
842
+214%
False Positive Rate
4.2%
-0.9%
Detection Latency
6.8m
-7.4m
SLA: <10m
Settlement Exposure
$2.8M
+$1.1M
Next window: 2h 14m
CNP Chargeback Ratio Approaching Visa Compliance Threshold
Current: 0.91% | Threshold: 1.0% | Buffer: 0.09% (~$380K gross volume). Digital Goods MCC velocity z-score: 4.8σ (ZIP 070xx–072xx concentration).

Anomaly Score Distribution (Last 15 Minutes)

Normal (≤0.5) Elevated (0.5–0.8) Critical (>0.8)

MCC Velocity Heatmap (Z-Score)

Mon
Tue
Wed
Thu
Fri
Sat
Sun
Digital Goods
0.2
0.4
1.8
4.8
2.1
0.6
0.3
Apparel
0.1
0.3
0.5
0.7
1.2
0.4
0.2
Electronics
0.3
0.4
0.6
1.4
0.9
0.5
0.3
Grocery
0.2
0.1
0.3
0.4
0.5
0.3
0.2
Travel
0.5
0.6
0.8
0.7
0.9
1.1
0.6
Color scale: Green (<1σ), Yellow (1–2σ), Red (>2σ)

Geographic Concentration Index (GCI) Trend

Baseline GCI: 0.12 | Current: 0.31 | Spike driven by ZIP 070xx–072xx cluster (NJ)

Detection Latency Trend (Minutes)

SLA: <10 min | Peak latency during attack: 14.2 min | Current: 6.8 min

ATO Signal Composite Score

Login Velocity 8.2 / 10
Device Fingerprint Mismatch 7.4 / 10
Credential Stuffing Signatures 9.1 / 10
Password Reset Frequency 6.3 / 10
IP Reputation Score 5.8 / 10
Composite ATO Risk Score
7.4 / 10

Rule Performance Table (Last 24 Hours)

Rule ID Rule Name Triggers True Pos. False Pos. FPR Precision Coverage Status
R-4821 CNP Velocity Threshold (MCC 5816) 3,214 2,987 227 7.1% 92.9% 68.2% Active
R-4905 Card Enumeration Detector 4,802 4,621 181 3.8% 96.2% 84.3% Active
R-5012 Geographic Anomaly (ZIP Concentration) 1,847 1,702 145 7.9% 92.1% 31.2% Active
R-5103 ATO Login Pattern Matcher 892 814 78 8.7% 91.3% 14.8% Tuning
R-5204 High-Value Transaction Blocker 512 489 23 4.5% 95.5% 8.9% Active
R-5318 Device Fingerprint Mismatch 2,104 1,921 183 8.7% 91.3% 35.1% Active
R-5407 BIN Attack Signature 647 621 26 4.0% 96.0% 11.3% Active
R-5521 Cross-Border Anomaly Detector 1,238 1,104 134 10.8% 89.2% 20.1% Tuning

Fraud Loss by Card Type

Fraud Loss by Channel

Detection Rate by Hour

Transaction Volume vs. Fraud Score Scatter

Bubble size = transaction amount | Color = anomaly severity

Top 10 High-Risk ZIP Codes (24h)

07024
Fort Lee, NJ
$482K
07013
Clifton, NJ
$391K
07208
Elizabeth, NJ
$287K
07047
North Bergen, NJ
$214K
10002
New York, NY
$198K
07093
West New York, NJ
$176K
07030
Hoboken, NJ
$142K
10011
New York, NY
$128K
07302
Jersey City, NJ
$114K
11201
Brooklyn, NY
$102K

Data Pipeline Health Status

Kafka Stream
Healthy
ML Scoring API
98ms p95
Redis Cache
Degraded
Rule Engine
Healthy
Data Warehouse
Synced 2m ago
Alert Service
12ms latency
NorthShore Payments Fraud Detection Dashboard • Data refreshed 12 seconds ago • Next refresh in 48s