Fraud detection that ships with the audit trail regulators ask for.

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.

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Five layers. One verdict.

Each layer operates independently and feeds a unified risk score. Every signal is traceable, every model is documented, every decision is explainable.

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

Layer 02

Fraud Graph

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 Detection

Layer 03

Betting Intelligence

Pattern detection for arbitrage, courtsiding, bonus abuse, and temporal clustering. Identifies sharp-action anomalies that signal syndicate play or insider information.

Arbitrage Courtsiding Bonus Abuse

Layer 04

IP Intelligence

Reputation scoring with VPN, Tor, and proxy detection. Geo-consistency checks catch location spoofing. Residential proxy identification flags sophisticated evasion.

VPN / Tor / Proxy Geo-Check

Layer 05

Crypto Wallet Screening

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 Signals

Built for regulated operators.

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

Built for the examiner, not just the analyst.

Detection without documentation is a liability. SharpFlag produces the evidence your regulator expects.

Tamper-Evident Audit Logs

SHA-256 hash chain on every decision record. Any modification breaks the chain. Your examiner can independently verify log integrity.

Model Cards and Registry

Every model version is documented with training data lineage, performance metrics, and validation results. SR 11-7 ready out of the box.

Conformal Prediction

Calibrated uncertainty intervals on every risk score. You know when the model is confident and when it is not — before you act on it.

RBAC with Action-Level Auditing

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.