Coinbase Fined $23 Million by Ireland for AML Failures

TheCryptoTimesPublished on 2025-11-06Last updated on 2025-11-06

The Central Bank of Ireland has fined Coinbase Europe €21,464,734, around $24 million, for failing to monitor transactions properly and respect anti-money laundering requirements.

The bank found serious flaws in Coinbase Europe’s transaction monitoring system, leaving over 30 million transactions, worth more than €176 billion (about $200 billion), insufficiently monitored over 12 months. The transactions represented roughly 31% of all Coinbase Europe transactions during that period.

Suspicious transactions and delays

Coinbase took almost three years to fully review the affected transactions. This late monitoring led to 2,708 Suspicious Transaction Reports being submitted to the Financial Intelligence Unit. The reports flagged potential criminal activity, including money laundering, fraud, drug trafficking, cyberattacks, and even child sexual exploitation. 

Coinbase acknowledged the breaches, admitting it had failed to monitor 30,442,437 transactions and lacked sufficient internal controls to prevent money laundering and terrorist financing, and that nearly 185,000 transactions required additional checks.

The two sides settled, with the Central Bank initially fining Coinbase Europe €30,663,906 (around $33.4 million). A 30% discount reduced the fine to the current amount. The sanctions have been accepted but still require High Court confirmation. 

Colm Kincaid, deputy governor of the Central Bank, emphasized the importance of robust monitoring systems in preventing financial crime. He noted that failures in such systems create opportunities for criminals, and crypto’s anonymity and cross-border features make it particularly attractive for illicit activity.

Kincaid added, “This is why it is especially important that firms engaged in crypto services have robust controls in place to identify and report suspicious transactions.” He stressed that any system failures must be reported promptly to the regulator so risks can be properly managed and mitigated.

Coinbase’s past penalties

This is not the first time Coinbase has been fined. The firm has faced regulatory fines in both Russia and the UK for breaches related to data localization and financial crime controls.

In 2023, a court in Moscow fined Coinbase 1 million rubles for failing to localize the data of its Russian clients, an offense attributed to Coinbase Ireland Ltd.

The first FCA sanction of its kind in the UK crypto sector was given to Coinbase’s CB Payments Limited last July 2024 for taking high-risk customers in violation of a 2020 financial crime agreement, involving $24.9 million in deposits and $226 million in transactions.

Also Read: Hyperliquid to Enable Coinbase Stock COIN’s Perpetuals Trading


Mobile Only Image

Related Reads

Under the squeeze between giants Tether and Circle, how can foreign exchange stablecoins break through?

In the face of dominance by Tether (USDT) and Circle (USDC), new entrants in the stablecoin space face significant challenges competing directly, especially in the foreign exchange (FX) market. A more viable and efficient path forward is the adoption of synthetic foreign exchange (Forex) built atop existing USD stablecoin rails. The rise of stablecoin neo-banks represents the next major growth area for mass crypto adoption, with FX becoming a core component. However, replicating the vast liquidity, distribution channels, and network effects of USDT/USDC is extremely difficult for new FX stablecoin issuers. The total market cap of all FX stablecoins is a fraction (roughly 1/700th) of USD stablecoins, leading to issues like poor liquidity, peg instability, limited acceptance, and complex compliance hurdles. Instead of issuing spot FX stablecoins, the article advocates for a model inspired by traditional finance's non-deliverable forwards (NDFs). Users would continue to hold underlying USDT/USDC, while their account balances are displayed and economically settled in their preferred local currency through MtM (Mark-to-Market) NDF structures. This approach leverages the deep liquidity and infrastructure of USD stablecoins while providing synthetic forex exposure. Key advantages include strong peg stability via oracles, retained access to USD stablecoin yields and liquidity, high capital efficiency, and easy scalability to new currencies. Primary use cases for this on-chain NDF forex include: 1. Neo-banks, custodians, and wallets offering multi-currency accounts to attract international users and increase deposits. 2. Forex carry trade strategies, potentially offering more stable and scalable yields compared to crypto-native products like Ethena. 3. Global corporate payments, allowing businesses to receive payments in local currencies while hedging forex risk on-chain, similar to services offered by Stripe in traditional finance. This synthetic forex model presents a pragmatic solution to overcome the network effects of incumbents and unlock the next wave of stablecoin utility for global consumers and businesses.

marsbit36m ago

Under the squeeze between giants Tether and Circle, how can foreign exchange stablecoins break through?

marsbit36m ago

Trading

Spot
Futures

Hot Articles

What is $BANK

Bank AI: A Revolutionary Step in the Future of Banking Introduction In an era marked by rapid advancements in technology, Bank AI stands at the intersection of artificial intelligence (AI) and banking services. This innovative project seeks to redefine the financial landscape, enhancing operational efficiency, security measures, and customer experiences through the power of AI. As we embark on this exploration of Bank AI, we will delve into what the project entails, its operational dynamics, its historical context, and significant milestones. What is Bank AI? At its core, Bank AI represents a transformative initiative aimed at integrating artificial intelligence into various banking operations. This project harnesses the capabilities of AI to automate processes, improve risk management protocols, and enhance customer interaction through personalized services. The primary objectives of Bank AI include: Automation of Banking Functions: By leveraging AI technologies, Bank AI aims to automate routine tasks, reducing the burden on human resources and enhancing efficiency. Enhanced Risk Management: The project utilises AI algorithms to predict and identify risks, thereby fortifying security measures against fraud and other threats. Personalization of Banking Services: Bank AI focuses on offering tailored financial products and services by analysing customer data and behaviours. Improving Customer Experience: The implementation of AI-driven solutions, such as chatbots and virtual assistants, aims to provide users with more human-like interactions, revolutionising the way customers engage with banks. With these goals, Bank AI positions itself as a crucial player in rendering banking more efficient, secure, and user-centric. Who is the Creator of Bank AI? Details regarding the creator of Bank AI remain unknown. As such, no specific individual or organisation has been identified in the available information. The anonymity surrounding the project's inception raises questions but does not detract from its ambitious vision and objectives. Who are the Investors of Bank AI? Similar to the project's creator, specific information regarding the investors or supporting organisations of Bank AI has not been disclosed. Without this information, it is challenging to outline the financial backing and institutional support that might be propelling the project forward. Nevertheless, the importance of having a robust investment foundation is pivotal for sustaining development in such an innovative field. How Does Bank AI Work? Bank AI operates on several innovative fronts, focusing on unique factors that differentiate it from traditional banking frameworks. Below are key operational features: Automation: By applying machine learning algorithms, Bank AI automates various manual processes within banks. This results in reduced operational costs and allows human workers to redirect their efforts towards more strategic activities. Advanced Risk Management: The integration of AI into risk management practices equips banks with tools to accurately predict potential threats such as fraud, ensuring that customer information and assets remain secure. Tailored Financial Recommendations: Through continuous learning from customer interactions, the AI systems develop a nuanced understanding of user needs, enabling them to offer tailored advice on financial decisions. Enhanced Customer Interactions: Utilizing chatbots and virtual assistants powered by AI, Bank AI enables a more engaging customer experience, allowing users to have their queries resolved quickly, thus reducing wait times and improving satisfaction levels. Together, these operational features position Bank AI as a pioneer in the banking sector, establishing new benchmarks for service delivery and operational excellence. Timeline of Bank AI Understanding the trajectory of Bank AI requires a look at its historical context. Below is a timeline highlighting important milestones and developments: Early 2010s: The conceptualization of AI integration into banking services began to gain attention as banking institutions recognised the potential benefits. 2018: A marked increase in the implementation of AI technologies occurred when banks started using AI tools like chatbots for basic customer service and risk management systems for improved security handling. 2023: The sophistication of AI continued to advance, with generative AI being introduced for more complex tasks such as document processing and real-time investment analysis. This year marked a significant leap in the capabilities afforded to banks by AI technology. 2024-Current Status: As of this year, Bank AI is on an upward trajectory, with ongoing research and developments poised to further enhance capabilities in banking operations. Continued exploration of AI applications hints at exciting developments yet to come. Key Points About Bank AI Integration of AI in Banking: Bank AI focuses on adopting artificial intelligence to streamline banking processes and improve user experiences. Automation and Risk Management Focus: The project strongly emphasizes these areas, aiming to shift the burden of routine tasks while enhancing security frameworks through predictive analytics. Personalized Banking Solutions: By harnessing customer data, Bank AI enables tailored banking services that cater to individual user needs. Commitment to Development: Bank AI remains committed to ongoing research and development efforts, ensuring its adaptability and ongoing relevance as technology continues to evolve. Conclusion In summary, Bank AI exemplifies a crucial step forward in the banking industry, leveraging artificial intelligence to reshape operational paradigms, enhance security, and promote customer satisfaction. Despite gaps in information surrounding the creator and investors, the clear objectives and functional mechanisms of Bank AI provide a strong foundation for its ongoing evolution. As AI technology continues to advance and merge with the banking sector, Bank AI is well-positioned to significantly impact the future of financial services, enhancing the way we understand and interact with banking.

953 Total ViewsPublished 2024.04.05Updated 2024.12.03

What is $BANK

How to Buy BANK

Welcome to HTX.com! We've made purchasing Lorenzo Protocol (BANK) simple and convenient. Follow our step-by-step guide to embark on your crypto journey.Step 1: Create Your HTX AccountUse your email or phone number to sign up for a free account on HTX. Experience a hassle-free registration journey and unlock all features.Get My AccountStep 2: Go to Buy Crypto and Choose Your Payment MethodCredit/Debit Card: Use your Visa or Mastercard to buy Lorenzo Protocol (BANK) instantly.Balance: Use funds from your HTX account balance to trade seamlessly.Third Parties: We've added popular payment methods such as Google Pay and Apple Pay to enhance convenience.P2P: Trade directly with other users on HTX.Over-the-Counter (OTC): We offer tailor-made services and competitive exchange rates for traders.Step 3: Store Your Lorenzo Protocol (BANK)After purchasing your Lorenzo Protocol (BANK), store it in your HTX account. Alternatively, you can send it elsewhere via blockchain transfer or use it to trade other cryptocurrencies.Step 4: Trade Lorenzo Protocol (BANK)Easily trade Lorenzo Protocol (BANK) on HTX's spot market. Simply access your account, select your trading pair, execute your trades, and monitor in real-time. We offer a user-friendly experience for both beginners and seasoned traders.

4.5k Total ViewsPublished 2025.05.09Updated 2026.05.19

How to Buy BANK

Discussions

Welcome to the HTX Community. Here, you can stay informed about the latest platform developments and gain access to professional market insights. Users' opinions on the price of BANK (BANK) are presented below.

活动图片