UGC Fraud Detection & Anti-Counterfeit Systems

Real-time verification of NFT and token provenance using cryptographic proofs and immutable ledger data. We trace asset lineage to the original mint, detecting cloned contracts and spoofed metadata with 99.9% accuracy.

Machine learning models analyze UGC patterns, transaction histories, and wallet behaviors to flag synthetic reviews, fake engagement, and coordinated spam campaigns. Models are retrained weekly on new threat vectors.

Identify and block automated bot networks and Sybil attacks designed to manipulate rankings, votes, or marketplace liquidity. Our engine analyzes funding patterns, timing, and interaction graphs across EVM chains.

Generate immutable, portable reputation scores for users and assets by aggregating trust signals across multiple platforms and blockchains. Prevents bad actors from migrating to new ecosystems.

A centralized dashboard providing live threat intelligence, compliance reporting, and automated alerts for suspicious activity. Integrates with existing SIEM tools and supports regulatory audit trails.

Deploy and manage custom fraud detection rules without code changes. Define thresholds for transaction volume, content velocity, and user behavior specific to your platform's risk model.

Building the production system with security-first principles. All smart contracts are developed in Solidity 0.8+ using OpenZeppelin libraries and undergo rigorous internal and external security audits before deployment.

Deliverable: Audited, gas-optimized smart contracts and backend services.