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PureFi Announcements

PureFi Announcements

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📑 Every blockchain promises one thing: no one can create or validate coins outside the rules. In just six weeks, three networks faced serious challenges to that principle. ⛓️ Liquid, MultiversX and Pirate Chain each had their own validation approve fake coins. Over $330M in value came from nothing. ✅ A bug can mint coins out of nothing, but they still need a way out. PureFi closes that exit before the first transaction is signed. 🔗 Read the article: Link

🎓 PureFi at the 15th International Counter Fraud, Cybercrime and Forensic Accounting Conference Our CTO Mike Tiutin presente
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🎓 PureFi at the 15th International Counter Fraud, Cybercrime and Forensic Accounting Conference Our CTO Mike Tiutin presented his research at the University of Portsmouth, UK, alongside 70+ experts from academia, law enforcement, government and industry. The conference covered AI-enabled crime, blockchain risks, cross-border fraud and forensic accounting, with speakers from the University of Cambridge, the UK Home Office and the Global Anti-Scam Alliance. 🧠 Can an AI agent do a better job than fixed rules at identifying suspicious crypto accounts? Getting a label wrong has consequences. A false positive can flag a legitimate customer. A false negative can let a criminal through. And that label feeds into alerts, risk scores and reports. Mike compared rule-based systems with an AI agent on two real-world tasks. Human experts reviewed the results, with 20 experts on the first task and 5 on the second. 1️⃣ Detecting permission-change attacks on TRON (UAP) These transactions change the keys controlling an account. The same action can be legitimate or malicious — the context makes the difference. • Rules: 15% false positives and ~60% of real attacks missed • AI agent: ~2% false positives and 99 out of 100 attacks detected The key detail: the agent handled only the ~80% of cases it was confident about, sending the hardest ~20% to a human reviewer. 2️⃣ Identifying crypto exchange wallets We expected this task to be easier. It wasn't. The rules produced few false positives but missed 62% of actual exchange wallets. The AI agent performed better. 📏 Confidence matters The rules had no way to express uncertainty — despite being right only about half the time. The AI agent's confidence scores aligned with expert judgments: when it was confident, experts agreed; when it said "50/50", experts were split too. ⏱ The trade-off Rules return results instantly. The AI agent takes around 2 minutes per account on the first task and 10 minutes on the second. ✅ The takeaway: use the right tool for each case. • Rules handle the easy cases fast. • The AI agent tackles the ambiguous ones. • Humans review the cases where the agent isn't confident. It's not about AI replacing everything. It's about building the right workflow for the task. *Limitations: two tasks, one blockchain, and expert agreement as the benchmark — not absolute ground truth.* Thanks to the Centre for Cybercrime and Economic Crime and the University of Portsmouth for hosting the conference. #PureFi #AML #Compliance #Cybercrime #CounterFraud #AI #Blockchain

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🎓 PureFi at the 15th International Counter Fraud, Cybercrime and Forensic Accounting Conference Our CTO Mike Tiutin presented his research at the University of Portsmouth, UK, alongside 70+ experts from academia, law enforcement, government and industry. The conference covered AI-enabled crime, blockchain risks, cross-border fraud and forensic accounting, with speakers from the University of Cambridge, the UK Home Office and the Global Anti-Scam Alliance. 🧠 Can an AI agent do a better job than fixed rules at identifying suspicious crypto accounts? Getting a label wrong has consequences. A false positive can flag a legitimate customer. A false negative can let a criminal through. And that label feeds into alerts, risk scores and reports. Mike compared rule-based systems with an AI agent on two real-world tasks. Human experts reviewed the results, with 20 experts on the first task and 5 on the second. 1️⃣ Detecting permission-change attacks on TRON (UAP) These transactions change the keys controlling an account. The same action can be legitimate or malicious — the context makes the difference. • Rules: 15% false positives and ~60% of real attacks missed • AI agent: ~2% false positives and 99 out of 100 attacks detected The key detail: the agent handled only the ~80% of cases it was confident about, sending the hardest ~20% to a human reviewer. 2️⃣ Identifying crypto exchange wallets We expected this task to be easier. It wasn't. The rules produced few false positives but missed 62% of actual exchange wallets. The AI agent performed better. 📏 Confidence matters The rules had no way to express uncertainty — despite being right only about half the time. The AI agent's confidence scores aligned with expert judgments: when it was confident, experts agreed; when it said "50/50", experts were split too. ⏱ The trade-off Rules return results instantly. The AI agent takes around 2 minutes per account on the first task and 10 minutes on the second. ✅ The takeaway: use the right tool for each case. • Rules handle the easy cases fast. • The AI agent tackles the ambiguous ones. • Humans review the cases where the agent isn't confident. It's not about AI replacing everything. It's about building the right workflow for the task. *Limitations: two tasks, one blockchain, and expert agreement as the benchmark — not absolute ground truth.* Thanks to the Centre for Cybercrime and Economic Crime and the University of Portsmouth for hosting the conference. #PureFi #AML #Compliance #Cybercrime #CounterFraud #AI #Blockchain

"The same fact - no one controls the code - set one defendant free and sent another to prison." That’s how Mykhailo Tiutin, Co-Founder & CTO at PureFi, framed the regulatory reality during his session on the future of compliant DeFi. Why is this a must-watch right now? Here’s a breakdown of what builders need to know: ⚖️ From "Protocols" to "Arrangements" Regulators now target the people running the infrastructure, not the raw code. 🔑 Admin Keys Carry Real Duty If you can upgrade contracts, switch off pools, or monetize web routing, you're on the regulator’s radar. 🛡️ Built-in Compliance via ZK Proving users are cleared to transact before transactions settle, preserving core Web3 decentralization. Hear how DeFi regulation moved from theoretical debate to the courtroom: https://www.youtube.com/watch?v=jbs66Oz9sKs

🏛️ On September 15, the US Senate voted 49-50 on the Clarity Act. If it passed, companies could finally plan without guessing what the SEC does next year. ⚖️ The bill would have solved a lot: asset classification, market structure, and developer protection. But it still didn’t cover one gap: sanctions and strict liabilities. ✅ That gap exists with or without the Clarity Act - and it's the one PureFi closes before the transaction settles. 🔗 Read the article: Link

📑The attackers didn’t require phishing, stealing keys or malware. Still, 500 Coldcard wallets lost $38M in 25 minutes. 🎲The flaw appeared years back, the moment the wallets generated their seed phrase. They were used as any other wallets, but were compromised from the start. ✅Once entropy is broken, the theft is unavoidable. Getting the money out is where PureFi intervenes. 🔗 Read the article: Link

📑 No password reset, no customer support, and no second chances. Lose your private key, and the funds are gone - instantly, forever. 🌐 “Not your keys, not your coins” isn’t a slogan, it’s math: whoever holds the key owns the funds. Phishing, malware, a leaked seed phrase - the door in doesn’t matter, the outcome does. ✅ The theft happens off-chain, invisible to blockchain monitoring. Laundering the funds is on-chain. PureFi traces a wallet’s full history and blocks the connection before it settles. 🔗 Read the article: Link

💸 $33 trillion in stablecoin transactions in 2025. The same speed, liquidity, and cross-chain mobility that power legitimate finance can also make stablecoins attractive to bad actors. 🔒 Tether froze $4.4 billion across 7,268 addresses. Every single action came after the funds had already moved, split, and touched wallets that had nothing to do with the original exploit. ✅ Regulators have made substantial progress in overseeing stablecoin issuers, and work is already underway to address DEXs, bridges, and DeFi protocols through initiatives such as the FATF’s recommendations. However, these frameworks are still maturing, meaning the gap still needs to be closed. 🔗 Read article: Link

Another huge partnership! Web3 builders on Ethereum will now be able to use our protocol to protect their users from interactions with bad actors

📑 The protocol wasn't hacked. The data it trusted was. 🌐 Oracle manipulation doesn't break code - it feeds the protocol a price it has no reason to doubt. ✅ The exploit closes in seconds. The laundering takes days - and that's exactly when dirty funds start touching protocols that had nothing to do with the original exploit. That's the window PureFi is building for. 🔗 Read article: Link

🤖 AI cracked 207 out of 405 already-exploited smart contracts in testing, with no researcher steering them. ⚡ That's not theoretical anymore - it's faster than any hacker group could move. ✅ Hacker or AI, the stolen funds still move through the same swaps and bridges. Tracing the full path - not just the last hop - is the only fix that actually works. 🔗 Read article: Link

🏴‍☠️ Sanctioned but still processing transactions. That's the structural gap in DeFi compliance. 💸 Direct exposure gets flagged, but two hops away - nobody sees it. That's how four exchanges moved billions through DeFi protocols that never knew they were involved. ✅ The check needs to trace the full chain, not just the last address. And it needs to run before the swap - not after. 🔗 Read article: Link

🤺 A hacker group with no funding problems, no legal risk, and a government as their employer. That's Lazarus Group. 💣 $6.71B stolen. 270+ incidents. By the time the headline drops - funds are already in ETH. By the time ETH is flagged - it's BTC across a thousand wallets. By the time BTC is traced - it's cash. ✅ The window to act isn't after the swap. It's before it - on-chain, at the smart contract level. That's what PureFi is building for. 🔗 Read article: Link

🔒 Staking is DeFi's most unexpected laundering vector. Deposits commingle in shared pools - and when funds exit, they carry the pool's history, not yours. 🌀 Staked tokens become collateral. The laundering step looks like a routine protocol interaction. ✅ The fix lives at the smart contract level - screening wallets before the first transaction is signed. 🔗 Read article: Link

🐇 Stolen crypto doesn't disappear, it hops 🌉 Bridges were built to move crypto between chains - but with no compliance layer, they're equally good at moving dirty ones. And by the time off-chain tools map the route, funds are already three chains deep. ✅ But bridges record every sender and destination. The data exists. The question is whether anything acts on it? 🔗 Read article: Link

🌪️ Every major crypto hack has one thing in common - Tornado Cash 🔄 Fresh wallet, one gas transaction from TC, DeFi protocol exploit, swaps, bridges, another TC transaction to "cash out" the stolen сrypto. Funds gone, forever. 🔗 By the time any off-chain analytics flags it, the window is closed. But there is a solution, and it's even on-chain. 🔗 Read article: Link

🔀 The laundering schemes didn't just grow - they restructured. 🌐 Bridges, staging, speed, mixers and DeFi itself. Five shifts that make the old AML stack helpless. 🎯 They all work for the same reason. They all can be stopped the same way. 🔗 Read article: Link

🇮🇷 $7.8B crypto ecosystem. 12M users. 4.5% of Bitcoin's global hashrate. Iran built one of the world's largest crypto economies, entirely under sanctions. ⚠️ AML problem isn't identifying the source, because wallets are known. The problem is what happens on-chain - bridges, mixers, and swaps that push dirty funds deeper into the ecosystem, hop by hop, until the origin is untraceable. ✅ The fix? - Screen wallets before transaction, not after everything is done and the funds are moving. 🔗 Read article: Link

🏦 DeFi does everything a bank does. Lending, borrowing, trading, yield. The main difference is anonimity - and for most people, that's just a feature. 🥷🏻 But sometimes it gets abused, so the ecosystem that can't tell the difference between an investor and hacker has a problem. And this gap needs to be solved. 🔗 Read article: Link

👁️ Billions in BTC. Flagged wallets. Funds still reaching DeFi. ⚠️ Darknet markets don't hide - they layer. And every hop through an unscreened swap or bridge puts dirty funds one step closer to you. ✅ The solution? AML before transactions settle, not after. 🔗 Read article: Link