Chainalysis

Have you seen a blockchain analytics tool advertise and promote how they use machine learning as a method for labeling wallets on the blockchain? Probably yes. You're buying a tool to give you answers. Instead, such tools only leave you with more questions, and here’s why: ML works brilliantly when you have massive amounts of known, factual data. Netflix knows every show you've watched, every partial show, every rewatch. And not just for you, also everyone that resembles you. With that much ground truth, predictions about what you'll watch next can be remarkably good. Blockchain is the opposite. The data is pseudonymous by design. You're mostly working with unknowns. And yet some providers run the same machine learning playbooks as Netflix ignoring that the ground truth data set is very different and still call it intelligence. No compliance officer would off-board a customer based on a prediction. No prosecutor would bring a case on a guess — even a qualified one. Because a guess is still a guess. With ML, everything is a guess. On pseudonymous blockchain data, it's not just a guess – it's a scientifically unqualified guess built on bad statistics and sold as fact. And when your labels can't survive scrutiny, you don’t want scrutiny! Maybe that’s why a blockchain analytics provider threatened to sue Dutch researchers to prevent them from publishing results on the quality of their tool. At Chainalysis, we do the opposite. We don't block researchers. Every label we ship must withstand the toughest questions. That's what our customers deserve. So remember, relying on machine learning as a method for blockchain attribution is like learning about irony from Alanis Morissette: It's bad advice that you just shouldn't take.

The Chainalysis 2026 Crypto Crime Report is out now, and it's packed with data-driven analysis on how criminal enterprises are adapting to and exploiting the growth of digital assets. Inside, you'll find: → How traditional criminal networks are being transformed by crypto adoption → Emerging threats: advanced scam architectures, DeFi exploits, and ransomware innovations → How investigators are using blockchain transparency and analytics to fight back with real-world case studies Whether you're in compliance, law enforcement, financial services, or just trying to understand where the risks are, this report is essential reading. #CryptoCrime #Blockchain #Compliance #FinancialCrime"

Scammers, ransomware operators, money launderers; they're all getting more sophisticated. We just dropped our 2026 Crypto Crime Report, and the findings are a wake-up call for anyone working at the intersection of finance, technology, and security. The good news? Blockchain's built-in transparency is giving investigators powerful new tools to fight back. The full report covers: → Next-gen fraud schemes and scam architectures → Cross-chain criminal activity and DeFi exploits → Real cases where analytics led to asset recovery Don't get caught flat-footed!

A new financial infrastructure is emerging through tokenized real-world assets. Tokenized RWAs are nearing $30B in assets under management as institutions explore blockchain rails for commodities, credit, and treasury assets. Why the acceleration? ✔ 24/7 market access ✔ Near-instant settlement ✔ Lower costs ✔ Greater transparency Explore the data behind the rise of on-chain assets ↓

Tokenized real-world assets are becoming a strategic priority for financial institutions. As commodities, treasury assets, and private credit move on-chain, institutions can unlock faster settlement, operational efficiency, and programmable financial infrastructure. With institutional capital accelerating growth, early adopters can help shape the next generation of financial markets. Dive into the data ↓

AI, investigations, and TradFi are converging on-chain, and the signal is finally catching up to the noise. Watch Chainalysis Links 2026 main stage on-demand for free, and see how the crypto ecosystem is evolving across investigations, compliance, and more. 🔹 Keynote & product vision – Jonathan Levin on the state of the industry, the launch of Chainalysis AI agents, and what’s next for the Chainalysis platform. 🔹 Real-world investigations & takedowns – Inside Operation Manor (the UK’s largest crypto seizure 🇬🇧), Operation Trashpanda, and how on-chain intelligence is being used on the front lines of global conflict and cybercrime. 🔹 AI, compliance & TradFi convergence – How leading exchanges and financial institutions are deploying AI, navigating emerging regulation, and scaling digital assets across traditional financial infrastructure.