Web3 Anti-Money Laundering Platform: Real-Time Risk Identification and Prevention
This article outlines Ant Group's Web3 multi‑dimensional intelligent anti‑money‑laundering platform, detailing common cryptocurrency risk types, regulatory compliance challenges, and the platform's real‑time monitoring, contract scanning, and graph‑based risk tagging capabilities for proactive detection and rapid response.
With the rapid development of the Web3 industry and evolving regulatory policies, Web3 security has become a critical issue. Risks in Web3 are diverse and often suffer from delayed detection and response. Ant Group's Web3 multi‑dimensional intelligent joint anti‑money‑laundering platform was selected in Shanghai's 2023 cybersecurity innovation catalog, aggregating security capabilities to serve many institutions.
The platform incorporates core technologies and a global product design, featuring self‑developed contract scanning for massive code vulnerability mining, proactive risk monitoring for near‑real‑time security event detection, and large‑scale graph‑intelligent tracking with extensive risk tags, meeting varied business needs and flexible deployment modes.
Web3 attack methods are varied and defenses are challenging. Ant Security Lab continues deep research in this field, releasing a series of technical articles. This piece focuses on cryptocurrency risk identification, explaining how the platform addresses the timeliness challenges of money‑laundering risks.
Cryptocurrency business scenarios are divided into two main categories: interaction with traditional finance/market systems (e.g., fiat deposits/withdrawals, purchasing goods) and the virtual asset ecosystem (including CEX, DEX, wallets, digital collectibles, cross‑chain services, and underlying blockchain services). Risks can arise at the protocol, transaction, or application layers.
Typical risk types include regulatory compliance risk (KYC, sanctions, AML, suspicious transactions), business domain risk (gambling, marketing fraud, phishing, scams, fake airdrops), and hacker/ theft risk (contract vulnerabilities, key leaks, attacks such as liquidity pool, 51%, re‑entrancy). These risks often feed into money‑laundering activities, making timely detection crucial.
Statistics show that in 2023, Web3 suffered $20.2 billion in losses from hacks, phishing, and rug pulls, with contract vulnerabilities accounting for 51.8% of attacks. Strengthening contract audits and real‑time blockchain node monitoring to pre‑emptively detect vulnerabilities is a core strategy of the platform.
Money‑laundering in Web3 is a high‑frequency crime, with $53.7 billion of illicit funds flowing out in 2022‑2023. Effective intervention requires rapid identification within short time windows, as delayed response reduces the chance to halt illicit flows.
Challenges include diverse risk types and sources, the need for high‑accuracy and timeliness in detection, and varied risk mitigation scenarios (alerts, monitoring, penalties, reporting). The platform addresses these by supporting multiple risk sources, real‑time contract monitoring, flexible response strategies, and multi‑scenario risk handling.
Product capabilities include multi‑risk source detection, seconds‑level response, and support for various mitigation actions such as real‑time scanning, offline analysis, and graph analysis. The platform aims to improve coverage, timeliness, and provide practical references for the industry.
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