Fraud detection, AML compliance, transaction monitoring, rug pull detection, trust scoring, and KYT — powered by ChainAware’s predictive AI agents.
The complete guide to ChainAware’s AI-powered Rug Pull Detector – now upgraded to V3 with 90.1% prediction accuracy. Covers how V3 combines behavioral analysis of contract creators with smart contract code inspection, why behavioral analysis catches professional operators that code scanners miss, and how to use it free before investing in any pool or token.
MiCA is fully enforced across the EU and FinCEN’s Travel Rule is actively monitored in the US. This complete 2026 KYT and AML guide covers what each regulation actually requires, how KYT differs from KYC, FATF Recommendation 16, and a four-phase implementation roadmap for DeFi protocols navigating compliance without a $500K budget.
The complete guide to ChainAware’s Predictive Fraud Detector – how it works, how it differs from AML screening, when to use it, and its limitations. 98% prediction accuracy, real-time, free to use. The key distinction: AML looks backward at transaction history. Fraud detection looks forward at behavioral probability.
Forensic tools like Chainalysis, Elliptic, and TRM Labs trace funds after crimes occur – reactive, backward-looking, dependent on known bad actors. ChainAware predicts fraud before it happens – 98% accuracy across 20M+ wallets, 50+ behavioral features, continuously retrained daily. This guide explains why predictive intelligence wins over forensic analysis in 2026.
Crypto theft hit record highs in 2025. This 2026 guide covers every major wallet security threat – phishing, rug pulls, smart contract exploits, private key theft, social engineering, mixer-laundered funds – and how predictive behavioral AI catches threats that reactive blocklists miss. Free tools: Fraud Detector, Rug Pull Detector V3, Wallet Auditor.
Generative AI creates content – it cannot process numerical transaction data or make real-time fraud classifications. Predictive AI is purpose-built for compliance: 98% accuracy, sub-100ms response, deterministic outputs. This 2026 guide explains the distinction and how to deploy predictive AI correctly for crypto KYC, AML, and transaction monitoring.
DeFi lending is stuck at overcollateralization because protocols can’t assess borrower creditworthiness. This complete guide covers how ChainAware Credit Score – built on Wallet Auditor, Fraud Detector, and Cash Flow Analysis – enables undercollateralized lending, DAO treasury credit, and smarter user acquisition in 2026.
How to use ChainAware as a Web3 business – four products covering growth, analytics, compliance, and AI agent integration. Covers Growth Agents for 1:1 wallet outreach, Behavioral Analytics via GTM pixel, Transaction Monitoring and AML, and Prediction MCP for any LLM. All built on 20M+ wallet profiles across 8 blockchains.
50% of Ethereum transactions are payments – yet the payment layer has almost no security infrastructure. This guide explains why crypto trust score metrics matter for real-time counterparty verification, how predictive fraud scoring differs from reactive blocklists, and why checking any wallet before transacting is the most important security habit in Web3.
Rug pulls drain liquidity overnight – token worthless by morning. Pump and dump schemes extract value slowly over weeks through insider sell-offs. Both are engineered to maximize retail losses. This 2026 guide explains how each works, how to tell them apart, and which ChainAware tools detect each type before you invest.