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企業がAMLコンプライアンスのための取引監視をどのように扱っているか、特にDeFi分野での実態をより明確に把握しようとしています。いくつかの外部ソリューションを検討していますが、膨大な量と一部の取引の擬似匿名性により、影を追っているような感覚です。高い取引量を扱うプロトコルに関わっている方々は、特定のツールで成功を収めていますか、それともまだヒューリスティックに基づいた手動レビューが多いのでしょうか？データ分析のコスト以外で、最も大きな問題点は何ですか？
Most are just flagging high-value transfers or known risky addresses and punting the rest to internal review. The volume makes full-scale monitoring impractical, especially with how quickly new tokens and protocols pop up. What kind of volumes are you dealing with daily?
Chasing shadows indeed. It feels less like transaction monitoring and more like an advanced game of 'Where's Waldo?' with millions of transactions and Waldo wearing a different disguise every time. Any tool that claims to solve this perfectly probably also sells bridges.
It's definitely a challenge, especially with DeFi's rapid evolution. Have you looked into tools that leverage graph analysis? They seem to be making some headway in tracing those complex, multi-hop transactions that make traditional methods a nightmare.
It's a tough one, no doubt. Most solutions struggle with the scale and the inherent design of DeFi. Are you seeing any promising tools that move beyond just basic wallet blacklisting?
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