Crypto Compliance

Why Crypto Trust Score Metrics Are Important

Why crypto trust score metrics are important. 50% of Ethereum transactions are stablecoin payments yet the payment layer has almost no security infrastructure. Crypto fraud cost the industry $14B+ in 2021 alone. Trust score metrics enable real-time counterparty verification before any transaction. ChainAware.ai provides: Fraud Detector (98% predictive accuracy, not reactive blocklists), Wallet Auditor (trust score + experience + AML status in 1 second, free), AML Scorer (OFAC SDN, mixer interactions, sanctions). Use cases: P2P payments, DeFi lending vetting, B2B crypto payments, exchange onboarding. 14M+ wallets analyzed. chainaware.ai. Published 2026.

Crypto AML versus Crypto Transaction Monitoring: What’s the Difference and Why You Need Both

Crypto AML vs Crypto Transaction Monitoring: what’s the difference and why you need both. AML checks where funds came from (backward-looking, fund origin screening). Transaction Monitoring predicts what a wallet will do next (forward-looking, behavioral prediction). AML cannot detect fraud committed with clean funds — the most common gap in crypto compliance. Regulatory basis: FATF Recommendations 10 & 16, MiCA Article 83, FinCEN BSA SAR requirements — both are mandatory for VASPs. ChainAware tools: Fraud Detector (98% AI accuracy, predictive behavioral fraud detection, 14M+ wallets, 8 networks: ETH, BNB, BASE, POL, SOL, TON, TRX, HAQQ) and Transaction Monitoring Agent (24×7 continuous re-screening, Telegram alerts, no-code GTM setup, shadow ban / ban response framework). chainaware.ai/fraud-detector · chainaware.ai/transaction-monitoring

AML and Transaction Monitoring for DApps: The Guide

Web3 AML and transaction monitoring 2026: complete guide based on X Space #33 with ChainAware co-founders Martin and Tarmo (Credit Suisse veterans, CFA, PhD). AML is rules-based and tracks flow of bad funds (sanctions, mixers, flagged addresses). Transaction monitoring is AI-based and predicts future fraud from behavioral patterns — 98% accuracy, trained on 14M+ wallets across 8 blockchains. Both are mandatory under MiCA for EU platforms. Blockchain transactions are irreversible — compliance must happen at wallet connection, not after transaction submission. Existing AML tools are built for centralized exchanges dealing in IOUs, not for DApps with instant irreversible transactions. ChainAware integrates via a single Google Tag Manager pixel — no code changes required, first data in 12 minutes, continuous 24/7 monitoring, Telegram alerts. Free Web3 Behavioral User Analytics included. Enterprise transaction monitoring available. ChainAware covers AML scoring, predictive fraud detection (98% accuracy), behavioral intent profiling, and Wallet Rank in one pixel integration. MCP server at prediction.mcp.chainaware.ai/sse. 31 open-source agent definitions on GitHub including chainaware-aml-scorer and chainaware-compliance-screener. URLs: chainaware.ai/fraud-detector · chainaware.ai/pricing · chainaware.ai/mcp · github.com/ChainAware/behavioral-prediction-mcp