Wallet Audit

ChainAware Investigation: Wallet Forensics and AML Reports for Compliance Teams and AI Agents

ChainAware Investigation turns a single EVM wallet address into a structured seven-section forensic report in 30 to 90 seconds. The report covers Identity and Roles, Activity Summary, Top Counterparties, Risk Assessment, Circular Flows and Clusters, AML Exposure, and a Conclusion with a combined LOW, MEDIUM, HIGH or CRITICAL risk tier. It combines ChainAware’s behavioral fraud intelligence with OFAC sanctions screening, third-party forensic signals and identity lookups across ENS, Unstoppable Domains, SPACE ID and ChainAware known-entity labels. Investigation supports externally owned accounts on Ethereum, BNB Smart Chain, Base and Polygon, and it is a point-in-time snapshot that teams rerun for monitoring. Compliance and AML teams use it for KYT due diligence, incident response, SAR preparation and pre-transaction OTC screening, while AI agent builders use the fixed structure and risk tier as a machine-readable counterparty check inside agentic pipelines. This guide explains each report section, the four risk tiers, a worked example, common wallet patterns, workflow design, responsible-use rules and the tool’s limits. ChainAware does not file SARs, and recommendations remain informational. Related tools include Agent Trust Score, the Fraud Detection API, Token Audit and the Prediction MCP. Learn more at chainaware.ai/learn/investigation/index.html.

ChainAware.ai Named in CB Insights AI Fraud Prevention Market Map – The Only Web3 AI Token in the List

CB Insights named ChainAware.ai in its AI Fraud Prevention Market Map – placing it in the On-Chain Intelligence subcategory alongside Chainalysis, Elliptic, and TRM Labs. 200+ companies selected. One mission: building the trust and intelligence infrastructure the worldwide AI revolution demands.

$284M+ in Rug Pulls on PancakeSwap V2 in 20 Weeks – Rug Pull Detector V3 Launched With 90.1% Accuracy

$284,694,192. That is not a headline from a dramatic DeFi hack. No Twitter threads trended. No security firms issued emergency advisories. No mainstream crypto media ran front-page coverage. That is the total value extracted from retail investors on PancakeSwap V2 alone – across just 20 weeks in 2026 – through a mechanism so normalized it barely registers as news: the rug pull. 103,695 separate rug pull events. $973,588,405 removed. $688,894,213 added before removal. ChainAware simultaneously launches Rug Pull Detector V3, combining behavioral analysis of contract creators with full smart contract inspection to reach 90.1% prediction accuracy, up from 68% in V2.

Web3 Fraud Detection for DApps in 2026 – Why Wallet Screening Beats Transaction Simulation

Web3 lost $4 billion to fraud in 2025. Most fraud detection tools were built for wallet providers and CEXs – not DApps. ChainAware is the only platform purpose-built for DApps: behavioral wallet screening at connection, zero-code GTM deploy, 98% fraud accuracy, MiCA-aligned at 1% of Chainalysis cost.

Web3 Trust Verification Systems in 2026 – The Complete Five-Category Landscape

Web3 lost over $3.6 billion to fraud in the first three quarters of 2025 – and 57.8% of those losses came not from smart contract bugs but from access-control failures. Trust in Web3 is not one problem. It is five distinct problems requiring five distinct solutions, and most protocols are only covering one.

Web3 Sybil Protection Systems in 2026 – On-Chain Behavioral Providers Ranked and Compared

Sybil attacks cost Web3 protocols billions annually in fake airdrop claims, manipulated governance votes, and inflated engagement metrics. This guide ranks and compares every major on-chain behavioral Sybil protection provider in 2026 – from GNN/RNN graph detection to behavioral scoring – and explains where each approach works and where it falls short.

Web3 Wallet Auditing Providers in 2026 – From Raw Blockchain Data to Actionable Web3 Personas

Every wallet address that connects to your DApp carries a complete behavioral history. In 2026, three distinct layers of wallet auditing infrastructure have emerged – raw data, descriptive profiles, and actionable predictions – and confusing them leads to selecting the wrong tools for the job.

What Are Web3 Personas? How to Use Them to Enable Your Growth – Complete Guide 2026

A Web3 Persona is a calculated behavioral profile of who is behind any wallet address – their intentions, experience level, risk appetite, and predicted next actions. This guide explains what they are, how ChainAware builds 18M+ of them across 8 blockchains, and how DApps use them to enable real growth.

Blockchain Data Providers Enabling AI Agent Access to On-Chain Wallet Data – Complete Guide 2026

AI agents need on-chain wallet data to make intelligent decisions – but most blockchain data providers were built for human analysts, not autonomous systems. This guide maps every major provider enabling AI agent access to wallet data in 2026, from raw indexers to pre-computed behavioral intelligence layers.

Best Web3 Governance Screeners in 2026 – Detect DAO Governance Attacks Before They Drain Your Treasury

$21.4 billion in liquid DAO treasury assets sits exposed to governance attacks. One malicious proposal can drain a treasury in a single block – as Beanstalk proved with $181M lost in 2022. This guide covers every major Web3 governance screener in 2026 and how to detect attacks before they execute.