Advanced Fraud Detection

Fraud Cases Detected

847

🚨

False Positives

2.3%

Avg Detection Time

2.4 hrs

⏱️

Risk Level Distribution

Critical Risk

12

Immediate Action

High Risk

45

Review & Action

Medium Risk

78

Monitor

Low Risk

156

Track

Detected Fraud Patterns

Bot Referrals

342 cases detected

High Risk

Blocked

40.4%

$125,400

Duplicate Accounts

156 cases detected

High Risk

Merged

18.4%

$58,200

IP Spoofing

89 cases detected

Medium Risk

Flagged

10.5%

$32,80

Fake Conversions

134 cases detected

High Risk

Reversed

15.8%

$49,580

Velocity Abuse

78 cases detected

Medium Risk

Suspended

9.2%

$28,920

Geographic Anomalies

48 cases detected

Low Risk

Reviewed

5.7%

$17,760

Detection Methods & Accuracy

Machine Learning Model

Active

AI-powered pattern recognition for fraud detection

Accuracy98.0%
Coverage100%

Behavioral Analysis

Active

Real-time user behavior monitoring

Accuracy96.0%
Coverage90%

Device Fingerprinting

Active

Unique device identification and tracking

Accuracy99.1%
Coverage98%

Velocity Checking

Active

Rapid activity pattern detection

Accuracy97.0%
Coverage100%

IP Intelligence

Active

Geographic and proxy detection

Accuracy95.8%
Coverage99%

Email Verification

Active

Email validity and history checking

Accuracy94.3%
Coverage100%
Recent Fraud Cases
Case IDTypeAffiliateDetectedStatusAmountConfidence
FRD-0Bot ReferralsJohn_Smith_20242026-0-24 14:32Blocked$4,2099.0%
FRD-0Duplicate AccountsSarah.Johnson2026-0-24 11:18Merged$2,10098.0%
FRD-0Fake ConversionsMike_Brown_Pro2026-0-24 09:45Reversed$8,097.0%
FRD-0IP SpoofingEmma_Wilson_242026-0-23 22:15Flagged$1,20096.3%
FRD-0Velocity AbuseDavid_Lee_Marketing2026-0-23 18:42Suspended$3,4095.8%