North Korea steals $2.8B in 2 years – Here’s what U.S. Treasury wants to do

ambcryptoPublicado a 2026-03-09Actualizado a 2026-03-09

Resumen

The U.S. Treasury is intensifying efforts to combat illicit financial activities involving digital assets, as highlighted in a report under the GENIUS Act. The study identifies significant risks, particularly with stablecoins, which accounted for 84% of illicit crypto transactions in 2025. The Treasury recommends enhanced monitoring using AI and real-time blockchain analytics, and proposes treating major stablecoin issuers like regulated financial institutions. The report also underscores growing threats from state-backed actors, notably North Korea, which stole an estimated $2.8 billion in crypto over two years to fund weapons programs. These findings support legislative push for acts like the CLARITY Act to establish clearer regulatory frameworks for digital assets.

As digital asset adoption grows, regulators are increasing efforts to prevent illicit financial activity, and in this U.S. Treasury has made a bold move.

Under the GENIUS Act, the U.S. Treasury was tasked with studying tools to detect illicit activity involving digital assets. As a part of the process, the Treasury reviewed industry feedback and examined technologies such as AI, digital identity, blockchain analytics, and APIs.

In this, they also found the risks linked to digital assets. These included the misuse of mixers, distributed ledgers, and DeFi, while outlining measures to combat illicit crypto finance.

Stablecoins take centre stage from a regulatory point of view

Seeing such setbacks, the report calls for stronger monitoring of the crypto ecosystem, particularly stablecoins. Treasury data shows stablecoins accounted for about 84% of illicit crypto transaction volume in 2025, making them a key focus for regulators.

To address this risk, the Treasury proposes AI-powered monitoring tools and real-time blockchain analytics to track transactions involving unhosted wallets and decentralized platforms.

Under this framework, major stablecoin issuers could be treated more like regulated financial institutions with stricter compliance requirements.

Remarking on the same, Galaxy Research Head Alex Thorn also weighed in,

Rising criminal and state-backed threats

Beyond regulation, the report also highlighted the growing scale of cybercrime and state-backed activity in the crypto sector.

One major concern came from North Korea, which emerged as one of the most aggressive cyber actors targeting the industry.

Using advanced hacking and social engineering tactics, North Korean groups stole $1.5 billion in crypto in early 2025, bringing their estimated total to $2.8 billion over the past two years, reportedly used to fund weapons programs.

At the same time, online scams are also expanding rapidly.

This highlights how the Treasury’s findings are closely tied to the proposed CLARITY Act, which aims to create clearer regulatory rules for digital assets rather than forcing crypto into traditional banking frameworks.

The need for tighter oversight

Additionally, the 2026 Chainalysis report recently highlighted how sanctioned entities moved around $104 billion through cryptocurrency in 2025, representing a massive 694% increase from the previous year.

Together, these findings deepen the Treasury’s concerns and may push lawmakers toward advancing legislation like the CLARITY Act.


Final Summary

  • With stablecoins linked to a large share of illicit transactions, regulators are prioritizing stricter oversight of issuers and transaction flows.
  • North Korean hacks, global scams, and sanctions evasion highlight how crypto is increasingly tied to international security concerns.

Lecturas Relacionadas

How to Do Research Well: Deliberately Practice the Real Skills That Matter

No one truly teaches you how to do research. You're often given a desk, a pre-selected problem, and vague instructions to "create something new." Consequently, many people reverse-engineer the job based on visible outputs—papers, posts, announcements—learning only how to *appear* like a researcher rather than how to *become* one. True research capability is built from stacking small, trainable skills, nearly all of which can be developed through deliberate practice. **Pick Your Own Problem:** Most researchers absorb problems from advisors or trends, lacking the underlying reasoning. Choosing a problem you genuinely care about, as John Schulman advises, leads to original work. Develop "taste" like a muscle: predict experiment outcomes, guess paper results from methods, and track which findings remain important over time. **Upgrade Your Inputs:** Relying on shared reading lists (arXiv hot lists, filtered group chats) leads to unoriginal conclusions. Undervalued old literature often holds crucial insights (e.g., MoE, LSTM, backpropagation). Richard Sutton's "The Bitter Lesson" or Claude Shannon's 1952 talk on creative thinking are more predictive than lengthy modern surveys. Breadth matters as much as depth: draw from neuroscience, mechanism design, hardware knowledge, and honest statistics. Read papers directly, especially appendices and limitations sections. **Write Everything Down:** As Paul Graham noted, writing exposes flaws in seemingly mature ideas. Writing is the cheapest defense against self-deception. Following Feynman's principle, Darwin programmatically wrote down facts contradicting his theory to combat memory bias. Maintain a detailed log of hypotheses, setups, predictions, results, and updated understandings. Reviewing past logs fosters essential humility.

marsbitHace 1 hora(s)

How to Do Research Well: Deliberately Practice the Real Skills That Matter

marsbitHace 1 hora(s)

Following US Ban on Fable 5, Zhipu AI's Stock Soars 47%

On June 15th, shares of Zhipu AI surged dramatically on the Hong Kong stock market, peaking at a 47.6% gain before closing 32.82% higher. This sharp increase was directly triggered by two recent industry events. On June 12th, Anthropic announced it was suspending global access to its latest flagship models, Claude Fable 5 and Claude Mythos 5, to comply with a U.S. government export control order. The next day, Zhipu AI announced it would open access to its latest open-source flagship model, GLM-5.2, under the permissive MIT license. The Anthropic incident highlighted a critical issue beyond raw model capability: the risk of sudden, unpredictable loss of access to advanced AI models, especially for developers and enterprises deeply integrated with them. This has shifted industry and market focus toward factors like stability, sustainable access, and controllability. Zhipu's move, promoting "frontier intelligence for all," positions its openly available model as a reliable and accessible alternative. The GLM-5.2 model emphasizes "Long Horizon Task" capabilities with a 1M context window, targeting complex, multi-step coding and engineering workflows where maintaining context is crucial. Analysts note this event exposes the risk of dependency on closed-source models subject to single jurisdictional controls, potentially accelerating a shift toward domestic base models and localized deployments. The market's reaction signals a new valuation dimension in AI: providers who can offer stable, long-term, and sustainably accessible AI capabilities are gaining strategic importance.

marsbitHace 2 hora(s)

Following US Ban on Fable 5, Zhipu AI's Stock Soars 47%

marsbitHace 2 hora(s)

Trading

Spot
Futuros
活动图片