Trust & Security

Fraud detection, AML compliance, transaction monitoring, rug pull detection, trust scoring, and KYT — powered by ChainAware’s predictive AI agents.

ChainAware Launches Agent Trust Score – On-Chain Trust Scoring for the Agentic Commerce Era

ChainAware launches Agent Trust Score – the first on-chain trust scoring system for ERC-8004 registered AI agents. Analysis of 274,792 indexed agents reveals 51.8% carry Elevated Risk or Untrusted scores, 21.1% are farm-detected Sybil operations, and 741 agents were funded by confirmed rug pull operators. Score owner wallet fraud probability, feeder address, and rug pull criminal record before granting autonomous execution access. Named in CB Insights AI Fraud Prevention Market Map. Free, no signup required.

ChainAware Token Audit Launched – We Tested 10,000 CoinGecko Tokens. Here Are the Results.

ChainAware Token Audit is live – 127 automated security checks across 9 modules, tested against the top 10,000 CoinGecko tokens by market cap. The results: 55.2% high risk, 131 confirmed honeypots, 13.2% upgradeable proxy contracts – including 139 controlled by a single private key. ChainAware catches threats invisible to GoPlus, CertiK Skynet, and TokenSniffer: transitive approve() analysis, phantom balanceOf, EIP-2612 permit correctness, reentrancy detection, and asymmetric pause – powered by behavioral intelligence across 20M+ wallet personas on 8 blockchains. Free at chainaware.ai/token-audit.

The Agent Trust Infrastructure Race: Who Is Building the Trust Layer for Agentic Commerce?

Six platforms are competing to become the trust layer for agentic commerce in 2026 – ERC-8004 native, RNWY, SkyeProfile, AXIS T-Score, DJD, and ChainAware. Each answers a fundamentally different question. This guide maps every methodology, every blind spot, and the five signals only one platform provides, with a decision matrix for DeFi builders, agent creators, and investors.

The First Step in Agentic Commerce Isn’t Integration. It’s Trust.

The ERC-8004 registry tells you an agent exists. It does not tell you whether to trust it. This guide explains why Know Your Agent (KYA) is the missing trust layer for DeFi protocol builders in 2026 – and how scoring the owner wallet, feeder address, and rug pull history closes the gap before funds move.

ChainAware.ai’s 32 Claude Sub-Agents – Fraud Tech and Growth Tech for the Agentic Economy

ChainAware.ai operates on 32 Claude sub-agents – each one a specialist wrapping ChainAware’s Prediction MCP with precise decision logic and behavioral reasoning. This article classifies all 32 agents into Fraud Tech (17 agents) and Growth Tech (15 agents), with use case and trigger conditions for every agent.

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.

$569M+ in Rug Pulls on PancakeSwap V2 in 20 Weeks – Rug Pull Detector V3 Launched With 90.1% Accuracy

$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 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.