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.
Week 22, 2026: $32,459,995 extracted from retail investors on PancakeSwap V2 — virtually unchanged from Week 21’s $32,422,973 (+0.1%). Two consecutive weeks at the same extraction level signals a plateau. The $32.5M floor is not a recovery — it is the baseline the rug pull industry sustains between cycles. Running 22-week total: $634.8M.
Week 21, 2026: $32.4M extracted from retail investors on PancakeSwap V2 — down 15.7% vs Week 20, but rug pull events jumped +24.4% to 6,768. More operators, lower average value per rug. The W20 high-value spike is giving way to broader-volume extraction. Running 21-week total: $602.7M.
Week 20, 2026 produced the largest week-over-week spike in our 20-week dataset — $39.9M extracted from retail investors on PancakeSwap V2, a 191% jump from Week 19. 5,439 confirmed rug pull events. No media coverage. No industry response. The weekly tracker that publishes what nobody else measures.
$569,388,384. That is not a headline from a dramatic DeFi hack. No Twitter threads trended. No security firms issued emergency advisories. No mainstream crypto media
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 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.
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.
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.
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.