Dubai Bans Privacy Tokens and Tightens Stablecoin Rules to Strengthen Crypto Compliance

TheNewsCryptoОпубликовано 2026-01-12Обновлено 2026-01-12

Введение

Dubai's Financial Services Authority (DFSA) has updated its crypto regulations, imposing a ban on privacy tokens and introducing stricter stablecoin rules within the Dubai International Financial Centre (DIFC). Effective January 12, the ban prohibits trading, promoting, or using privacy tokens in funds to enhance compliance, reduce anonymity, and ensure accountability. The DFSA stated that privacy tokens, which obscure transaction details and wallet ownership, pose significant money laundering and sanctions evasion risks. Additionally, the DFSA tightened stablecoin regulations, permitting only fiat-backed stablecoins with high-quality, liquid reserves to be recognized as stablecoins. Algorithmic stablecoins will not be banned but will be classified as regular crypto tokens to mitigate risks during market stress. The DFSA also eliminated its official list of approved tokens, shifting responsibility to crypto firms to assess token suitability, with regulators conducting audits and enforcing compliance afterward. These changes align Dubai with stricter regulatory approaches seen in the U.S. and Hong Kong, positioning it as a compliance-focused crypto hub.

The regulator of Dubai’s main Financial free zone, Dubai Financial Services Authority (DFSA), has reset its crypto rules. It banned the privacy tokens and tightened stablecoin definitions. All of these rules are applied only inside the Dubai International Financial Centre (DIFC). This ban takes effect from January 12 and applies to Trading, promoting, and using the privacy tokens in funds. The goal of this new rule is to ensure strong compliance, less anonymity, and clear accountability.

The reason behind this ban is that privacy tokens are designed to hide the transaction details and wallet owners. According to DFSA, Regulators must be able to identify who sent and received funds and where they come from. But Privacy coins make this impossible. This creates risk for money laundering and sanctions evasion. So, Dubai has fully banned rather than regulating them.

Dubai Tightens Stablecoin Definition to Limit Risk During Market Stress

Not only has Dubai banned Privacy coins, but it has also tightened its stablecoin rules. Under the new rule, only fiat-backed stablecoins with high-quality and liquid reserves can be treated as stablecoins in the DIFC. This means Algorithmic stablecoins are not banned, but they won’t be considered as stablecoins; instead, they will be treated as regular crypto tokens. This was meant to reduce the risks during the market crashes.

The other major change is that Dubai will no longer keep an official list of approved tokens. The crypto firms themselves must decide if a token is suitable, and they will be fully responsible if something goes wrong. The regulators will audit the process and enforce compliance after the fact. This shifts risk and responsibility from the regulators to the firms.

Dubai is aligning with the stricter rules of the U.S. and Hong Kong. In the U.S., there is still a discussion about whether privacy and compliance can coexist. Hong Kong has not officially banned the Privacy tokens, but it makes it very hard for exchanges to use them. But Dubai chooses the clear ban inside its financial center, and it is signaling to be a compliance-first crypto hub, not an anonymity one.

Highlighted Crypto News:

‌Cardano Founder Hints at Bitcoin and XRP DeFi Support via Midnight Protocol

TagsBanDubaiPrivacyStablecoinTokens

Связанные с этим вопросы

QWhat specific actions has the Dubai Financial Services Authority (DFSA) taken regarding privacy tokens?

AThe DFSA has banned the trading, promotion, and use of privacy tokens within the Dubai International Financial Centre (DIFC).

QWhy did Dubai choose to ban privacy tokens instead of regulating them?

ADubai banned them because privacy tokens are designed to hide transaction details and wallet owners, which makes it impossible for regulators to identify who sent and received funds, creating risks for money laundering and sanctions evasion.

QAccording to the new rules, what type of stablecoins can be treated as stablecoins in the DIFC?

AOnly fiat-backed stablecoins with high-quality and liquid reserves can be treated as stablecoins in the DIFC.

QHow are algorithmic stablecoins classified under Dubai's new regulatory framework?

AAlgorithmic stablecoins are not banned, but they are not considered stablecoins; instead, they are treated as regular crypto tokens.

QWhat major change has been made regarding the approval of tokens, and who bears the responsibility for token suitability?

ADubai will no longer maintain an official list of approved tokens. Crypto firms must decide if a token is suitable and will be fully responsible if something goes wrong, with regulators auditing the process and enforcing compliance after the fact.

Похожее

Apple's Desired On-Device AI Sees a Dark Horse Emerge: The First Cognitive Model is Born, 4B Matches GPT-5.4

A Chinese company, Tomorrow's Journey (Nextie), has introduced what it is calling the industry's first "cognitive model" for edge devices. Named New Journey Alpha, this 4-billion-parameter model reportedly matches the performance of trillion-parameter giants like GPT-5.4 in group intelligence tasks such as debate and collective decision-making. The development follows Andrej Karpathy's vision of stripping vast factual knowledge from large language models to retain only a smaller "cognitive core" capable of reasoning, planning, and knowing its own limits. This approach directly addresses the soaring computational costs and token expenses hindering AI's widespread deployment, as highlighted by incidents like Amazon shutting down an internal AI tool due to prohibitive costs. Trained via reinforcement learning on a corpus of academic papers from 1800-2020 to enhance generalization, the model enables three key advancements: 1) Improved decision quality in multi-agent systems, 2) Drastically reduced compute costs, allowing for cost-effective cloud or on-device (e.g., MacBook) deployment, and 3) The feasibility of "proactive" AI agents that act autonomously without user prompts, unlocking new commercial possibilities beyond today's reactive models. Built by the former Microsoft Xiaoice team—known for creating a 3.6B model that outperformed a 65B Llama model—the company is now focusing on the multi-agent systems sector, a field gaining significant investor interest. The model's economic impact is profound; by achieving high-level performance with minimal parameters, it fundamentally alters the cost structure of AI services, challenging the prevailing model of ever-larger parameter counts.

marsbit1 ч. назад

Apple's Desired On-Device AI Sees a Dark Horse Emerge: The First Cognitive Model is Born, 4B Matches GPT-5.4

marsbit1 ч. назад

OpenAI's 'Blueprint for the Future': Making AI Beneficial for Every Person on the Planet

A new transformative technology emerges every few generations. OpenAI draws a parallel with the advent of electricity in the 1920s, which initially brought convenience but ultimately enabled unprecedented progress in medicine, engineering, and living standards by empowering people to create new possibilities. AI is poised to recreate this phenomenon. Its true significance lies not in the technology itself, but in what people can achieve with it—from understanding a medical bill or starting a business to aiding scientific discovery. OpenAI believes AI should be universally accessible, allowing everyone to use it according to their own needs. This future, however, is not guaranteed. While transformative tech can centralize power, OpenAI's philosophy is that AI must serve humanity, augmenting human capabilities and broadly distributing its benefits. The company's first commitment is to build AI for human service, aiming to empower the many rather than concentrate power in a few. Safety, alignment with human intent, and oversight are paramount. OpenAI is optimistic about AI's potential to expand human welfare but remains clear-eyed about risks. The goal is to help people achieve more, not to replace them. Full automation is not the desired future; human judgment, values, and direction will become even more critical. OpenAI outlines three core goals: 1. Build automated AI researchers to accelerate and increasingly automate the research process itself, maintaining close human collaboration. The internal projection is that by March 2028, a significant portion of their research will be conducted by AI systems working alongside human researchers. 2. Accelerate economic development by advancing science, boosting productivity, and fostering growth, while ensuring the fruits are widely shared. 3. Provide a personal AGI for everyone on Earth, allowing individuals to benefit from this transformative technology in their own way. The company is entering its third phase, moving from foundational AGI research (Phase 1) to product deployment and learning from real-world use (Phase 2). The current challenge is making advanced AI abundant, affordable, safe, practical, and usable for all individuals and organizations. OpenAI concludes that a widely distributed power structure leads to a more resilient, adaptable, and free society. A positive AI future should not be controlled by a handful of entities but built, benefited from, and owned by many. If realized correctly, AI can become a cornerstone for enhancing global productivity, creativity, scientific advancement, and economic opportunity, fulfilling the mission to ensure AGI benefits all of humanity.

marsbit2 ч. назад

OpenAI's 'Blueprint for the Future': Making AI Beneficial for Every Person on the Planet

marsbit2 ч. назад

Arthur Hayes' New Article: AI Bubble Nears Bursting, Crypto Market Faces Short-Term Pressure

In a new essay, Arthur Hayes argues that the AI market bubble is approaching a rupture, which will place significant short-term pressure on crypto assets. He identifies rising oil prices, a trio of massive tech IPOs (SpaceX, Anthropic, OpenAI), and potential anti-AI political rhetoric from Trump as the three key catalysts for a correction. Hayes posits that the prolonged blockage of the Strait of Hormuz will drive energy prices higher, increasing operational costs for data centers and squeezing AI company profits. Simultaneously, the market may struggle to absorb the upcoming wave of multi-trillion dollar tech IPOs. Furthermore, with high inflation hurting his election chances, Trump could pivot to attacking the AI sector with proposals for heavy taxation and regulation to win over voters, spooking the market. Hayes notes that nearly all new dollar liquidity since 2022 has flowed into the AI sector, leaving little for Bitcoin, explaining its recent underperformance. He believes an AI stock crash would trigger a broad risk-off sentiment and credit contraction, dragging down crypto in the near term. Consequently, his fund, Maelstrom, has sold all AI-related stocks and non-core cryptocurrencies, retaining only Bitcoin and Ethereum while building positions in traditional energy stocks. He anticipates Bitcoin will bottom and resume its bull run only after the AI bubble pops and a new monetary easing cycle begins.

marsbit2 ч. назад

Arthur Hayes' New Article: AI Bubble Nears Bursting, Crypto Market Faces Short-Term Pressure

marsbit2 ч. назад

Торговля

Спот
Фьючерсы
活动图片