Crypto Victims Relieved – Or Too Late? What Operation Atlantic Really Means

bitcoinist2026-04-10 tarihinde yayınlandı2026-04-10 tarihinde güncellendi

Özet

Operation Atlantic is a major UK-US-Canada law enforcement initiative targeting crypto fraud and approval-phishing scams, involving agencies like the UK's National Crime Agency and the U.S. Secret Service, along with private partners such as Chainalysis. The operation aims to identify victims and compromised wallets in real time, freeze illicit funds before laundering, and generate investigative leads. Initial results include over 20,000 identified victims, more than 20,000 flagged wallet addresses, and over $12 million in frozen suspected scam proceeds. Globally, $45 million in stolen crypto has been identified. Approval phishing scams trick users into signing malicious transactions, allowing direct wallet draining. The operation highlights growing efforts to combat these rapidly evolving crypto crimes.

Crypto companies and public authorities are joining forces in “Operation Atlantic”, a coordinated push to shut down crypto fraud schemes and approval‐phishing attacks.

A Transnational Operation Against Crypto Phishing Scams

Operation Atlantic is a rare case of law enforcement moving in near real time to block scammers before funds fully disappear on‐chain. The operation is a joint UK–US–Canada venture led by the UK’s National Crime Agency and the US Secret Service, targeting crypto investment and “approval phishing” scams. The multiparty operation is also joined by private industry partners like Chainalysis. The blockchain data and analytics company announced the partnership in a yesterday’s post on their website.

As stated by Chainalysis:

Operation Atlantic’s objective is simple but ambitious: spot victims and compromised wallets in real time, freeze and secure illicit funds before they can be laundered through exchanges or services, generate new investigative leads on the fraud networks behind these scams, and lay the groundwork for ongoing investigations based on the intelligence collected during the operation.

Inside Operation Atlantic’s First Results

The operation, announced last month, has yielded its first striking results.

According to a new report from the National Crime Agency (NCA) of the United Kingdom, more than 20,000 victims have been identified, with over 20,000 wallet addresses flagged and more than $12 million in suspected scam proceeds frozen.

More than $45 million stolen in cryptocurrency fraud schemes has been identified around the world.

The report also highlighted that the operation identified one UK victim that lost more than £52,000 to this type of fraud.

Phishing 101

In approval phishing scams, victims are tricked into signing malicious on‐chain approvals that grant the scammers permission to drain tokens directly from their wallets. These attempts are often disguised as investment opportunities or “account security” prompts.

Such tactics are increasingly favored by organized fraud networks because they bypass traditional password theft and rely on users misunderstanding what they are signing.

Just yesterday, our sister website NewsBTC reported that South Korean authorities are rolling out a new standardized withdrawal‐delay across all exchanges in order to prevent damage from phishing scams that depend on speed.

Last month, the Solana memecoin issuance platform Bonk.fun was hichjacked by a phishing scam that set up a fake “Terms of Services” (TOS) signature prompt which, when signed, allowed the drainer to move the unaware user’s funds.

At the beginning of the month, the social network X announced it is in the process of rolling out its toughest anti-crypto scam measure to date, particularly design to combat phishing scams.

As law enforcement becomes more adept at tracing and freezing stolen funds, scam operations will likely move to more complex laundering routes, creating both new tail risks and new on‐chain data signals for sophisticated traders to track.

At the moment of writing, BTC trades for the more than $72k on the daily chart. Source: BTCUSDT on Tradingview.

Cover image from Perplexity. BTCUSDT chart from Tradingview.

İlgili Sorular

QWhat is the main objective of Operation Atlantic as described in the article?

AThe main objective of Operation Atlantic is to spot victims and compromised wallets in real time, freeze and secure illicit funds before they can be laundered, generate new investigative leads on the fraud networks, and lay the groundwork for ongoing investigations.

QWhich countries and private company are leading the joint venture known as Operation Atlantic?

AOperation Atlantic is a joint UK-US-Canada venture led by the UK's National Crime Agency and the US Secret Service, with the private industry partner Chainalysis also participating.

QAccording to the article, what were the first key results achieved by Operation Atlantic?

AThe operation identified more than 20,000 victims, flagged over 20,000 wallet addresses, and froze more than $12 million in suspected scam proceeds. It also identified over $45 million stolen in cryptocurrency fraud schemes worldwide.

QHow do approval phishing scams work, according to the article?

AIn approval phishing scams, victims are tricked into signing malicious on-chain approvals that grant scammers permission to drain tokens directly from their wallets. These attempts are often disguised as investment opportunities or 'account security' prompts.

QWhat recent actions have other entities taken to combat phishing scams, as mentioned in the article?

ASouth Korean authorities are rolling out a new standardized withdrawal-delay across all exchanges. The social network X announced it is implementing its toughest anti-crypto scam measure to date, specifically designed to combat phishing scams.

İlgili Okumalar

From South Korea to the United States: Blue-Collar Jobs Are Becoming Increasingly Popular, Thanks to AI

AI is reshaping the labor market's value proposition. The traditional four-year college degree is losing its appeal as a guaranteed career path, while skilled blue-collar trades like electricians, welders, and plumbers are experiencing historic demand and wage premiums. This shift is driven by dual pressures: AI's displacement of certain white-collar roles and a booming need for physical infrastructure and data center construction. Data confirms the trend. In the U.S., vocational school revenue surged, and a significant portion of recent layoffs are AI-related. Surveys show a majority of Gen Z adults plan to pursue blue-collar work, citing better job security against AI automation. Vocational education interest has exploded recently. Experts cite a psychological shift as younger generations seek tangible, AI-resistant careers and avoid high student debt. In many cases, salaries for skilled trades now match or exceed those requiring a bachelor's degree. In South Korea, semiconductor vocational high schools boast near-total employment, with graduates securing high-paying roles at companies like Samsung. The shortage is structural, exacerbated by a retiring baby boomer workforce and massive infrastructure projects. Companies like JPMorgan Chase, Meta, and Lowe's are investing heavily in training programs. However, overcoming historical stigma and a "perception gap" around trade careers remains a key challenge to closing the talent gap.

marsbit1 saat önce

From South Korea to the United States: Blue-Collar Jobs Are Becoming Increasingly Popular, Thanks to AI

marsbit1 saat önce

Qualcomm: AI Hype Subsides, When Will Smartphones Emerge from the Gloom?

Qualcomm reported its Q3 FY2026 results (ending June 2026), with revenue of $9.95B, down 4% YoY but above expectations. Gross margin declined to 53.1%, pressured by rising costs across manufacturing and memory. Key business segments showed mixed performance: Handset revenue fell 19.6% YoY to $5.09B, dragged by an 11% decline in non-Apple Android shipments and weaker high-end mix. Conversely, Automotive revenue surged 61% to $1.59B, and IoT grew 9% to $1.83B. Core operating profit dropped 41% YoY due to margin compression and higher expenses. Management's Q4 FY2026 guidance projects revenue of $9.7B-$10.5B, in line with consensus, but Non-GAAP EPS guidance of $2.05-$2.25 fell short of expectations. Amidst persistent weakness in its core handset market, Qualcomm is pursuing growth in AI, focusing on Edge AI (smartphones, PCs, automotive) and Data Center AI. Its data center strategy includes four pillars: AI accelerators (e.g., AI200), commercial CPUs (Dragonfly C1000), custom silicon, and connectivity solutions. While these initiatives initially boosted its stock, concerns over AI capital expenditure sustainability have since erased those gains. The company targets $5B in data center revenue for FY2027 and $15B for FY2029. The report concludes that with the traditional handset business still under pressure, the data center opportunity is currently viewed as a longer-term option, and a more conservative valuation based on core operations may be warranted until AI contributions materialize.

marsbit1 saat önce

Qualcomm: AI Hype Subsides, When Will Smartphones Emerge from the Gloom?

marsbit1 saat önce

From TPU to Self-Evolving Agents: How Jeff Dean Predicts the Next Step in AI

At the 2026 YC Startup School, Jeff Dean outlined his vision for AI's next phase, shifting focus from simply scaling models to building intelligent, autonomous systems. He believes AI's progress is no longer just about creating smarter models, but about integrating them into systems capable of long-term, iterative work, automated experimentation, and continuous learning. This evolution moves the competition from "who has the bigger model" to "who can best organize intelligence." Dean suggests AI capabilities are now comparable to a junior engineer, enabling the automation of complex workflows. However, the true challenge and opportunity lie in managing these AI "workers" at scale. He emphasizes the importance of **context engineering**—structuring tools, memory, and feedback loops—over raw model power. For startups, this means building deep expertise in niche domains where general models currently fail (near 0-1% success rates), leveraging proprietary data, specialized tools, and domain-specific evaluators. A recurring theme is re-examining fundamental constraints. Dean's past work, like moving Google's search index to memory or creating the TPU, stemmed from questioning outdated assumptions about hardware and cost. He sees similar inflection points today, particularly in **specialized inference hardware** to drastically reduce latency and energy consumption for real-time Agent operation. Notably, he points out that in modern AI systems, the dominant cost is often not computation but **data movement**. Reliable, long-running Agents require robust system design, borrowing concepts from distributed computing like checkpointing, state management, and parallel exploration to handle failures and maintain progress over days or weeks. As AI automates execution, the scarcest human skills will shift to **defining clear specifications**, **judging what problems are worth solving** (taste), and designing effective feedback loops. Ultimately, Dean's framework prioritizes understanding the problem deeply, identifying the true bottlenecks, and systematically building closed-loop systems where AI can not only perform tasks but also improve AI itself.

marsbit1 saat önce

From TPU to Self-Evolving Agents: How Jeff Dean Predicts the Next Step in AI

marsbit1 saat önce

İşlemler

Spot
活动图片