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TRM Labs
@trmlabs
Preventing fraud and financial crime for digital currencies
151 Following    16.4K Followers
Arc 🤝 TRM Labs @Arc mainnet is live, and so is TRM's support. Standard support means: ▪️ Real-time wallet screening and continuous transaction monitoring ▪️ Tracing the flow of funds, including cross-chain swap support ▪️ Live transaction data within minutes of each block
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🚀 TRM Labs is heading to the Brown University Engineering Career Fair on September 15! Come meet our team and learn about how we’re building the world's leading investigations platform to combat AI-enabled crime. #Hiring# #TRMCareers#
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Next week at FinTech Week Singapore 2026 (@_peopleevents), TRM Labs' Adriel Wong (Head of Private Institutions, APAC) joins the panel, “𝐀𝐮𝐭𝐨𝐧𝐨𝐦𝐨𝐮𝐬 𝐅𝐢𝐧𝐚𝐧𝐜𝐞: 𝐅𝐫𝐨𝐦 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐯𝐞 𝐀𝐈 𝐭𝐨 𝐀𝐈 𝐀𝐠𝐞𝐧𝐭𝐬 𝐢𝐧 𝐁𝐚𝐧𝐤𝐢𝐧𝐠.” 🔗 More details here:
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About USD 319 million in bitcoin was drained from the Liquid Network on September 6 — the largest crypto theft of 2026, and the largest attack recorded against a Bitcoin sidechain. The attackers, claiming to be whitehats, have returned about 85% of the stolen funds, but still hold the remaining USD 47 million. The attackers appear to have exploited a bug in Liquid's validation software to mint unbacked L-BTC, which they then exchanged for BTC. Read our full analysis here 👉
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Grab your favorite pumpkin-spiced beverage and sit down with August’s product releases, which gave your agents more intelligence: 🔎 TRM MCP connects your agents to TRM Wallet Screening results and new behavioral alerts 🌜 New dark mode theme makes investigations easy on the eyes 🤖 New editable, court-ready reports from Co-Case Agent™ 🎓 New AI Fundamentals course in TRM Academy 💵 A cross-chain swap service with almost no public footprint was newly attributed Read our full release notes 👉
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Today, OFAC designated Xinbi Guarantee — a marketplace tied to more than USD 34 billion in crypto and fiat throughput since around 2022 — as a significant transnational criminal organization. Two infrastructure developers were named alongside it: Anwen Technology (XinbiPay/NewPay wallet) and SafeW Technology (SafeW messaging app). The same day, Telegram banned Xinbi and DOJ's Scam Center Strike Force seized related infrastructure. Read TRM's full analysis ➡️
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🎙️ On this week's #TRMTalks#, @RebeccaRettig1 (COO and CLO at @jito_labs) and @m_mosier_ (Founding Partner at Arktouros, former Acting Director of FinCEN) join host @ARedbord on what comes next for DeFi. Their new paper gives banks, asset managers, and card issuers a framework they can hand to legal and compliance. Keep the network layer credibly neutral and put KYC, screening, monitoring, and sanctions controls at the application layer. Listen to the full episode, out now ➡️
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TRM has closed an extension of our Series C, valuing the company at $2 billion. A letter from our CEO, @estebancastano, on how AI safety is too important to get wrong, and what we’re building at TRM to get it right ⬇️
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Today, we are at a crossroads. As I write this, AI is saving lives by helping doctors identify diseases faster, and making education more accessible to people everywhere. It’s also being used to inflict harm on a global scale. TRM’s AI-in-Crime Adoption Index found that, in 2026, criminal adoption of AI rose 40% year over year. Today’s threat actors are using AI to execute scams, cyber attacks, and other forms of digital crime at unprecedented speed and scale. In the last 90 days, we’ve also seen a growing number of incidents where AI agents themselves have gone rogue. Business titans and religious leaders are sounding the same alarm: to realize AI’s promise, we need to protect people from its harms. The first line of defense is prevention. Model companies like Anthropic and OpenAI are building stronger guardrails, and governments are exploring rules for how AI can be safely used. We call this the prevention layer. At TRM, we’ve spent nearly a decade fighting crime, from fraud and cybercrime to human and wildlife trafficking. That experience has taught us one thing, if nothing else: the prevention layer is essential, but never enough. Criminals will break through. When they do, it’s critical that crimefighters can identify the harm done, find the people and machines behind it, and take action: support the victim, freeze the funds, take down the infrastructure, arrest the offender, disable the agent, dismantle the network. The world needs a new layer of protection. We call it the disruption layer—and it's what we're building, right now. The operating system for crimefighters In 2018, we founded TRM to help crimefighters map how threat actors were using cryptocurrency. We analyzed petabytes of data, mapping over a 100 types of crime. Government agencies and financial institutions worldwide now use TRM to investigate complex criminal networks and combat financial crime. The more cases we supported, however, the more we realized: if we were going to equip crimefighters to disrupt AI-scale crime, crypto would be 𝘱𝘢𝘳𝘵 of the story, but not the 𝘸𝘩𝘰𝘭𝘦 story. To build a successful case, investigators must source intelligence not just from the blockchain, but also corporate records, cyber threat data, the dark web, and dozens of other domains. Today’s crimefighters need to use natural language to search across siloed domains, connect the dots and unearth buried insights, automate the rote work, and coordinate with partners across public and private sectors—all while preserving auditability and human judgment. In short, crimefighters need an operating system for the AI era. So we built it. For years, we’ve been developing this OS alongside the investigators who use it. Now, we’ve just announced a new round of funding, valuing TRM at $2 billion, to propel our work—and this fall, we’ll unveil the OS publicly, for the first time. If your organization needs to fight AI-scale crime, please reach out. We want to work with you.
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🇸🇬 Singapore's stablecoin rulebook is about to become law. We break down the key takeaways; what the new rules mean for #stablecoin# issuers, exchanges, and banks; and how Singapore compares to other jurisdictions for compliance teams. Read the primer here 👉
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🚀 TRM Labs is heading to the Michigan University Fall Engineering Career Fair on September 15! Come meet our team and learn about full-time roles building the world's leading investigations platform to combat AI-enabled crime. #Hiring# #TRMCareers#
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Criminal networks now automate fraud, adapt laundering patterns, and move across blockchains faster than manual review can follow. Keeping pace calls for defensive #AI# built for the same speed. In our latest post on the TRM Tech Blog, Guilherme Marmerola explains why TRM is training its own transformer-based blockchain foundation model, learning from public chain activity and TRM's attribution inventory — so investigators can search by behavior and surface related addresses that hand-written queries miss. Full post here 👉
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TRM Labs is in Charlotte this week for the @acams_aml Carolinas Chapter 𝐀𝐌𝐋 𝐚𝐧𝐝 𝐎𝐅𝐀𝐂 𝐒𝐲𝐦𝐩𝐨𝐬𝐢𝐮𝐦. #AI# is reshaping both sides of the financial crime equation. For AML and sanctions teams, that means moving faster through complex data, surfacing risk earlier, and giving investigators more time for the decisions that need human judgment. Our team is on site talking about the next generation of financial crime compliance: AI-powered investigations, and programs that are both more effective and scalable. 👋 If you're in Charlotte, come find us!
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🎙️ Coming Wednesday on #TRMTalks#: Institutions are leaning into blockchain. Tthe next step is bringing that activity onto permissionless rails with the compliance controls regulators expect. @RebeccaRettig1 (@jito_labs) and @m_mosier_ (Arktouros) sit down with host @ARedbord to discuss how. Their new paper is a how-to under current law, building on their earlier work on DeFi as critical infrastructure alongside SWIFT, telecoms, Linux, and the RPC nodes that have carried traffic since the 1970s. Follow TRM Talks on Spotify to be the first to tune in when the episode drops 👉
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Next week, the people building, regulating, and securing the future of money are gathering in Washington, D.C. for @Stablecon. TRM Labs will be there. Here’s where to find us: 🎤 “𝗖𝗮𝗻 𝗦𝘁𝗮𝗯𝗹𝗲𝗰𝗼𝗶𝗻𝘀 𝗕𝗲 𝗣𝗿𝗶𝘃𝗮𝘁𝗲 𝗮𝗻𝗱 𝗖𝗼𝗺𝗽𝗹𝗶𝗮𝗻𝘁?” Wednesday at 2:00pm, @ARedbord takes the stage to explore how privacy and compliance can coexist as adoption accelerates. 🏃 𝗥𝘂𝗻 𝗗.𝗖. 𝘄𝗶𝘁𝗵 𝘂𝘀 Thursday at 7:00am, join us for TRM Run Club. All paces welcome. 👋 𝗙𝗶𝗻𝗱 𝘂𝘀 𝗮𝘁 𝗯𝗼𝗼𝘁𝗵 #𝟱𝟭𝟬# Stop by throughout the conference to meet the team and talk payments, compliance, investigations, and the evolving financial ecosystem. See you in D.C.!
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One week left to nominate a collaboration for the inaugural 𝐃𝐢𝐬𝐫𝐮𝐩𝐭𝐢𝐨𝐧 𝐀𝐰𝐚𝐫𝐝𝐬. We’re recognizing public-private partnerships that achieved what no organization could have done alone. 🏆 𝐓𝐡𝐞 𝐁𝐥𝐚𝐜𝐤𝐨𝐮𝐭: taking criminal infrastructure offline at scale - servers, domains, botnets, accounts, or tooling removed or disabled, not merely identified. 🏆 𝐓𝐡𝐞 𝐀𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭: building a playbook, model, or technique others can use. 🏆 𝐓𝐡𝐞 𝐋𝐢𝐟𝐞𝐥𝐢𝐧𝐞: intervening in time to prevent harm or protect victims. Anyone can nominate or win. No TRM affiliation required. Nominations close September 14. Winners will be recognized at the TRM User Conference in Washington, D.C. on November 2. Know a team whose work deserves the spotlight? Submit a nomination:
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🔎 TRM Labs is hiring a 𝗧𝗲𝗰𝗵𝗻𝗶𝗰𝗮𝗹 𝗥𝗲𝗰𝗿𝘂𝗶𝘁𝗶𝗻𝗴 𝗠𝗮𝗻𝗮𝗴𝗲𝗿. This is a true player-coach role. You’ll lead and develop our technical recruiting team while driving our hardest searches across engineering, applied AI, data science, and security research. You’ll also see around corners, forecasting the talent and recruiting capacity R&D will need before the demand arrives. Learn more and apply 👉 #Hiring# #TRMCareers#
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Since May 2026, the US Treasury has designated 80 Cuban individuals and entities under Executive Order 14404 across nine rounds. Not one includes a cryptocurrency address. New TRM analysis: Cuba's sanctions circumvention runs through successor companies and border-purchasing schemes that settle offshore. Its only licensed platform moved ~USD 437K in 13 months. Read TRM’s full analysis ➡️
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TRM Labs' new 𝐀𝐈-𝐢𝐧-𝐂𝐫𝐢𝐦𝐞 𝐀𝐝𝐨𝐩𝐭𝐢𝐨𝐧 𝐈𝐧𝐝𝐞𝐱 scores #AI# adoption across major crime typologies on a scale from Horizon to Mature. So far, scams are the only category to reach the Mature phase. Ransomware is close behind: no-code kits now sell for as little as USD 400, collapsing the skill and time required to build and run an intrusion. Swipe through for the highlights, then dig into the full index here ➡️
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🇹🇼 Taiwan's Virtual Asset Service Act passed its third reading. Here’s what it means for VASPs and #stablecoin# issuers in Taiwan. Read more ➡️
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On this week’s #TRMTalks#, Brad Brown of @AUSTRAC breaks down how Australia is fighting a USD 500B global fraud problem with smarter, risk-based supervision. Watch or listen to his full conversation with @ARedbord 👉
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