Layer 01
Bot Detection
17 behavioral and device signals scored by an XGBoost ensemble. Every prediction includes SHAP feature attributions so you can explain the verdict to your compliance team, not just trust it.
XGBoost SHAP 17 Signals
The only platform that correlates sports betting behavior, device fingerprints, and crypto wallet risk in a single fraud graph. Five detection layers, one verdict, one compliance surface.
Built for heads of fraud and compliance at regulated sportsbooks, crypto exchanges, and gaming operators.
Request a PilotDetection Engine
Each layer operates independently and feeds a unified risk score. Every signal is traceable, every model is documented, every decision is explainable.
Layer 01
17 behavioral and device signals scored by an XGBoost ensemble. Every prediction includes SHAP feature attributions so you can explain the verdict to your compliance team, not just trust it.
XGBoost SHAP 17 SignalsLayer 02
Real-time graph linking accounts, devices, IPs, and payment methods. Ring detection surfaces coordinated fraud that individual-account models miss. DeepWalk embeddings expose hidden structure.
Graph Analysis Ring DetectionLayer 03
Pattern detection for arbitrage, courtsiding, bonus abuse, and temporal clustering. Identifies sharp-action anomalies that signal syndicate play or insider information.
Arbitrage Courtsiding Bonus AbuseLayer 04
Reputation scoring with VPN, Tor, and proxy detection. Geo-consistency checks catch location spoofing. Residential proxy identification flags sophisticated evasion.
VPN / Tor / Proxy Geo-CheckLayer 05
8 risk signals per wallet address. OFAC sanctions list matching, mixer and tumbler detection, darknet market linkage, and transaction pattern analysis for layering behavior.
OFAC Mixer Detection 8 SignalsRegulatory Coverage
SharpFlag is designed from day one to satisfy the frameworks your compliance team is measured against.
DFS 23 NYCRR 500
New York Department of Financial Services
UKGC LCCP
UK Gambling Commission
MiCA
EU Markets in Crypto-Assets
SOC 2 Type II
Service Organization Controls
SR 11-7
Model Risk Management
GDPR Art. 22
Human Review of Automated Decisions
OFAC / FATF
Sanctions & Travel Rule
Compliance Infrastructure
Detection without documentation is a liability. SharpFlag produces the evidence your regulator expects.
SHA-256 hash chain on every decision record. Any modification breaks the chain. Your examiner can independently verify log integrity.
Every model version is documented with training data lineage, performance metrics, and validation results. SR 11-7 ready out of the box.
Calibrated uncertainty intervals on every risk score. You know when the model is confident and when it is not — before you act on it.
Per-action authorization audit trail. Every query, override, and configuration change is attributed, timestamped, and immutable.
We don't just detect fraud. We produce the evidence your examiner needs.