Introducing OpenAML: DTCC AI Hackathon Winner, now part of FINOS (Linux Foundation)
We’re proud to announce OpenAML — an open-source AI-powered framework for detecting suspicious activity on public blockchains. Built for transparency, modularity, and real-world compliance, it took home the top prize at the DTCC AI Hackathon and is now part of FINOS, the open finance initiative under the Linux Foundation.
Why OpenAML?
Traditional AML tools in crypto are black-boxed, expensive, and often behind the curve. OpenAML is designed to be:
•Open
•Interoperable
•Fully auditable
All while using AI and graph analytics to trace and score transactional behavior across EVM-based chains.
🔍 What it detects:
We don’t just follow tokens — we analyze how money moves.
Key detection capabilities include:
•🧠 Behavioral pattern recognition (e.g. layering, smurfing, circular flows)
•🌑 ZKP transfer inference (e.g. Tornado Cash, Aztec) through indirect heuristics
•🌪️ Mixer usage detection and flow correlation
•🕸️ Graph analysis for wallet clustering, proxy routing, and obfuscation
•🅿️ “Parking” behavior: idle wallets before large withdrawals
•💸 Withdrawal funnels to CEXs, OTC desks, or cross-chain bridges
⚙️ Under the hood:
•Core logic in Python Rust
•EVM trace ingestion from open RPCs and node plugins
•ML models (GNNs, tree ensembles) for scoring risk
•Modular alert engine (dashboards, APIs, or integrations)
🔐 Coming next: OpenKYT
We’re building OpenKYT, a hosted service built on top of OpenAML with extended features to fully meet KYT and due diligence requirements from regulators — including MiCA, the Genius Act, and other emerging AML frameworks globally.
🌍 OpenAML is now part of FINOS (Linux Foundation) — making it the first fully open-source blockchain AML tool backed by the open finance community.
🚀 Join us, contribute, and help shape the future of transparent crypto compliance
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