EU Proposes Ban On Russian Crypto Transactions To Crack Down Sanctions Evasion – Report

bitcoinistPublicado a 2026-02-11Actualizado a 2026-02-11

Resumen

The European Union is considering a comprehensive ban on all cryptocurrency transactions with Russia to prevent the country from using digital assets to evade sanctions. According to a report, the European Commission has proposed prohibiting engagement with any crypto asset service provider established in Russia, arguing that targeting individual entities would lead to the creation of new ones to circumvent restrictions. The proposal specifically aims to prevent the growth of platforms like the sanctioned exchange Garantex and targets the payments platform A7 and its ruble-pegged stablecoin. Additionally, the Commission suggested adding 20 Russian banks to the sanctions list, banning digital ruble transactions, and restricting certain exports to Kyrgyzstan. The measures require unanimous support from EU member states, though some countries have expressed doubts. This potential crackdown coincides with Russia's ongoing development of its digital assets regulatory system.

As Russia moves to regulate the crypto sector later this year, the European Union (EU) is considering implementing strict sanctions on all digital asset transactions linked to the country to curb sanctions evasion.

EU Seeks Sanctions On Russian Crypto Transactions

On Tuesday, the Financial Times (FT) reported that the European Commission (EC) is evaluating measures to prohibit all crypto transactions with Russia, stepping up its efforts to crack down on the country’s use of digital assets to evade sanctions.

According to documents reviewed by the FT, the Commission has seemingly proposed a broader prohibition “instead of attempting to ban copycat Russian crypto entities spun out of already sanctioned platforms.”

“In order to ensure that sanctions achieve their intended effect [the EU] prohibits to engage with any crypto asset service provider, or to make use of any platform allowing the transfer and exchange of crypto assets that is established in Russia,” explained the internal document outlining the proposed sanctions.

The Commission argued that “any further listing of individual crypto asset service providers ... is therefore likely to result in the set-up of new ones to circumvent those listings.”

Notably, the proposal reportedly focuses on preventing the growth of successors to the Russia-linked crypto exchange Garantex. In 2022, the US sanctioned the platform for “operating as the exchange of choice for cybercriminals”.

Moreover, the document is aimed at the payments platform A7, a company reportedly conceived as a mechanism to facilitate cross-border trades due to sanctions imposed after Russia invaded Ukraine, and its connected ruble-pegged stablecoin A7A5, previously used by Garantex to transfer funds to Kyrgyz exchange Grinex.

As reported by Bitcoinist, the EU, UK, and US have adopted restrictive measures against the payment platform. Despite this, recent reports revealed the stablecoin has an aggregate transaction volume of $100 billion.

In addition, the EC suggested adding 20 banks to the list of sanctioned entities and a ban on any digital ruble-related transactions. The Commission also proposed a ban on the export of certain dual-use goods to Kyrgyzstan, claiming that local companies have sold prohibited goods to Russia.

Nonetheless, imposing the measures would require the unanimous support of member states, and three of the bloc’s countries have reportedly expressed doubts, three diplomats briefed on discussions told the FT.

Russia’s Digital Assets Landscape

The potential crackdown comes as Russia continues to develop its upcoming digital assets framework. The CBR recently unveiled its comprehensive regulatory proposals to enable retail and qualified investors to buy digital assets through licensed platforms in the country.

Last month, the Committee on State Building and Legislation at the State Duma also advanced a bill to regulate the seizure of crypto assets in criminal proceedings and reduce the risks associated with the use of digital assets in criminal activities, including money laundering, corruption, and terrorist financing.

Meanwhile, Russia’s largest bank by assets, Sberbank, recently announced that it is preparing to offer crypto-backed loans to corporate clients following strong corporate interest.

The bank affirmed its readiness to work with the Central Bank of Russia (CBR) to develop regulations, and it is finalizing the necessary infrastructure and procedures for potential scaling of crypto-backed lending.

Bitcoin (BTC) trades at $69,848 in the one-week chart. Source: BTCUSDT on TradingView

Criptos en tendencia

Lecturas Relacionadas

Ethereum Q1 2026 Report: Fees Decline, Users and Transaction Volume Hit New Highs

Ethereum Q1 2026 Report: Fees Down, Users & Transactions Hit New Highs Token Terminal's Q1 2026 report on Ethereum presents a pivotal development: the network achieved record highs in monthly active users (13.2M, +85.9% YoY), total transactions (200.4M, +81.5% YoY), and throughput (25.78 TPS), while transaction fees on the mainnet plummeted by 47.9% quarter-over-quarter. This shift is attributed to the network's strategic move into a "low fees for scale" phase, exemplified by the Fusaka upgrade which increased data capacity and lowered block space costs, releasing pent-up demand (a manifestation of Jevons's Paradox). The report highlights a core narrative shift for Ethereum: from a DeFi-centric blockchain to a global financial settlement layer. It maintains a dominant position in tokenized assets, holding majority market shares among top chains in stablecoins (61.8%), tokenized funds (73.0%), and tokenized commodities (84.0%). Growth in tokenized funds (+73.1% YoY) and commodities (+325.9% YoY) was particularly strong, driven by institutions like BlackRock and JPMorgan entering the space. Contrasting these usage gains, several USD-denominated value metrics declined in Q1: fully diluted market cap fell 30.3% QoQ, total value locked (TVL) dropped 11.0%, and ecosystem transaction volume decreased 24.0%. The report interprets this as Ethereum prioritizing long-term network expansion and cementing its role as the default settlement layer for finance over short-term fee capture. The commentary from Etherealize argues that, much like the early internet, Ethereum's open, permissionless model is poised to win over closed alternatives as institutional tokenization accelerates.

marsbitHace 1 hora(s)

Ethereum Q1 2026 Report: Fees Decline, Users and Transaction Volume Hit New Highs

marsbitHace 1 hora(s)

He Just Raised 2.7 Billion, and Li Fei-Fei Also Invested

Pete Florence, a former senior research scientist at Google DeepMind and a key contributor to the Vision-Language-Action (VLA) model architecture, is deliberately distancing his startup, Generalist AI, from the trendy "world model" label. He argues that the industry should prioritize concrete goals over buzzwords. His goal is to create robots that can perform a vast range of unseen tasks with high speed and success rates, without needing task-specific training data. Recently, his company raised $400 million (¥2.7 billion) at a $2 billion valuation. Notable investors include NVIDIA's NVentures, Bezos Expeditions, NFDG, as well as Xiaomi co-founder Lin Bin, Zoom founder Eric Yuan, and renowned AI scientist Fei-Fei Li. Florence's approach stems from his academic background at MIT under Professor Russ Tedrake, focusing on understanding the physical world. After joining DeepMind, he developed models like Transporter Network and co-created the VLA framework. He left in 2025 to found Generalist AI. The company has launched two models: GEN-0, which demonstrated that scaling laws apply to physical motion, and GEN-1. GEN-1 was trained on over 500,000 hours of physical interaction data collected via a specialized wearable device. It achieves a 99% success rate on precise mechanical tasks like folding boxes and maintains performance three times faster than its predecessor. Florence believes GEN-1 is reaching a commercial utility threshold similar to the GPT-3 inflection point. The substantial funding round, following GEN-1's release, signifies strong investor confidence in Generalist AI's practical, goal-driven path to creating versatile, useful robots, regardless of the "world model" terminology.

marsbitHace 1 hora(s)

He Just Raised 2.7 Billion, and Li Fei-Fei Also Invested

marsbitHace 1 hora(s)

Two Legends Lost in Three Days: Is Google's AI Talent Dam Cracking?

In three days, Google lost two AI legends. On June 18, Noam Shazeer, co-author of the seminal "Attention is All You Need" paper and Gemini co-lead, left for OpenAI. Just 48 hours later, John Jumper, 2024 Nobel laureate and AlphaFold lead, departed DeepMind for Anthropic. This follows Andrej Karpathy joining Anthropic in May. These moves highlight a structural trend: top AI talent is concentrating at mission-driven, pre-IPO firms like OpenAI and Anthropic, while Google becomes a primary source. The exodus stems from a core mission mismatch. Google's ad-centric model often subordinates AI research to product and revenue goals, creating friction for pioneers like Shazeer, who returned in 2024 only to leave again. In contrast, OpenAI and Anthropic offer singular focus on pushing AI boundaries, whether towards AGI or safety-aligned models, which deeply appeals to top researchers like Jumper. Financial incentives amplify the pull. With both OpenAI and Anthropic nearing IPO, employees stand to gain immensely from equity, an upside Google's mature stock cannot match. Furthermore, the 2023 merger of Google Brain and DeepMind, intended to consolidate strength, has instead created cultural tension and slowed the path from research to product, as evidenced by Gemini's pace. This talent redistribution is reshaping the AI landscape. While Google retains vast data and compute resources, its true crisis is the quiet, continuous loss of the people who define the field's future. The real moat in AI is not infrastructure, but the concentration of brilliant minds—a battle Google is currently losing.

marsbitHace 3 hora(s)

Two Legends Lost in Three Days: Is Google's AI Talent Dam Cracking?

marsbitHace 3 hora(s)

Behind the AI Report Card, Lies a Chinese 'Exam Setter'

Beyond the familiar performance charts like MMLU-Pro and MMMU, which major AI models strive to ace, stands a key "examiner": Chinese-Canadian researcher Wenhu Chen. An assistant professor at the University of Waterloo and founder of TIGERLab, Chen addresses the crucial need for more rigorous AI evaluation. As models like GPT-4 began scoring near-perfect results on older benchmarks like MMLU, it became difficult to distinguish their true capabilities. In response, Chen introduced MMLU-Pro in 2024, featuring harder, more reasoning-focused questions with more answer choices, successfully reintroducing meaningful performance gaps. His work extends to multi-modal evaluation with MMMU and its enhanced version, MMMU-Pro. These benchmarks test a model's ability to understand and reason with complex information from images, charts, and text across diverse academic subjects, exposing the significant challenges even top models face in genuine comprehension. Chen's background in complex QA, table reasoning, and his experience at Google DeepMind on projects like Gemini inform his approach. He understands that effective benchmarks must anticipate how models might "cheat" by memorizing data or avoiding visual analysis. His lab also actively researches video understanding and generation models (e.g., UniVideo, Vamba), ensuring his evaluation work is grounded in practical model-building challenges. Now at Meta's Super Intelligence Lab, Chen continues his focus on multi-modal data and evaluation, representing the deep yet often unseen contributions of Chinese talent in shaping the fundamental tools of the AI industry.

marsbitHace 3 hora(s)

Behind the AI Report Card, Lies a Chinese 'Exam Setter'

marsbitHace 3 hora(s)

Trading

Spot
Futuros

Artículos destacados

Cómo comprar BAN

¡Bienvenido a HTX.com! Hemos hecho que comprar Comedian (BAN) sea simple y conveniente. Sigue nuestra guía paso a paso para iniciar tu viaje de criptos.Paso 1: crea tu cuenta HTXUtiliza tu correo electrónico o número de teléfono para registrarte y obtener una cuenta gratuita en HTX. Experimenta un proceso de registro sin complicaciones y desbloquea todas las funciones.Obtener mi cuentaPaso 2: ve a Comprar cripto y elige tu método de pagoTarjeta de crédito/débito: usa tu Visa o Mastercard para comprar Comedian (BAN) al instante.Saldo: utiliza fondos del saldo de tu cuenta HTX para tradear sin problemas.Terceros: hemos agregado métodos de pago populares como Google Pay y Apple Pay para mejorar la comodidad.P2P: tradear directamente con otros usuarios en HTX.Over-the-Counter (OTC): ofrecemos servicios personalizados y tipos de cambio competitivos para los traders.Paso 3: guarda tu Comedian (BAN)Después de comprar tu Comedian (BAN), guárdalo en tu cuenta HTX. Alternativamente, puedes enviarlo a otro lugar mediante transferencia blockchain o utilizarlo para tradear otras criptomonedas.Paso 4: tradear Comedian (BAN)Tradear fácilmente con Comedian (BAN) en HTX's mercado spot. Simplemente accede a tu cuenta, selecciona tu par de trading, ejecuta tus trades y monitorea en tiempo real. Ofrecemos una experiencia fácil de usar tanto para principiantes como para traders experimentados.

575 Vistas totalesPublicado en 2024.12.11Actualizado en 2026.06.02

Cómo comprar BAN

Discusiones

Bienvenido a la comunidad de HTX. Aquí puedes mantenerte informado sobre los últimos desarrollos de la plataforma y acceder a análisis profesionales del mercado. A continuación se presentan las opiniones de los usuarios sobre el precio de BAN (BAN).

活动图片