TL;DR AI-powered scams are impacting the crypto industry, as many fraudsters are combining the pseudonymity of digital assets with the…
The post AI-Powered Crypto Scams: How Artificial Intelligence is...

<h2>TL;DR</h2><ul><li>AI-powered scams are impacting the crypto industry, as many fraudsters are combining the pseudonymity of digital assets with the automation of AI to exploit users at scale.</li><li>Common AI-powered scams include deepfakes, phishing bots, fake trading platforms, voice cloning, and impersonation in chat applications.</li><li>Fortunately, tools like Chainalysis Alterya leverage the same AI technology to fight these scammers, scaling scam detection, automating threat response, and staying ahead of fraud attempts.</li></ul>As artificial intelligence (AI) tools become more accessible, ubiquitous, and advanced, their applications have exploded across industries — from finance and healthcare, to entertainment and education. But while much of the AI conversation centers around productivity and the future of manual work, a more concerning trend is emerging: cybercriminals are now using AI to supercharge increasingly convincing and scalable scams.AI-powered scams are also impacting the cryptocurrency industry, as many fraudsters are combining the pseudonymity of digital assets with the automation of AI to exploit users at scale. Unfortunately, these scams are often harder to detect, faster to deploy, and disturbingly convincing.But AI isn’t just in the hands of bad actors. <a href="https://www.chainalysis.com/product/alterya/" rel="nofollow">Chainalysis Alterya</a> is leveraging the same technology to fight back, scaling scam detection, automating threat response, and staying ahead of fraud attempts.In this blog, we’ll explore the following topics and more:<ul><li><a href="https://www.chainalysis.com/blog/ai-artificial-intelligence-powered-crypto-scams/#AI-scams-definition" rel="nofollow">What are AI-powered crypto scams?</a></li><li><a href="https://www.chainalysis.com/blog/ai-artificial-intelligence-powered-crypto-scams/#AI-scam-types" rel="nofollow">Common types of AI-powered crypto scams</a></li><li><a href="https://www.chainalysis.com/blog/ai-artificial-intelligence-powered-crypto-scams/#AI-scam-detection" rel="nofollow">Why AI makes crypto scams harder to detect</a></li><li><a href="https://www.chainalysis.com/blog/ai-artificial-intelligence-powered-crypto-scams/#analysis-and-response" rel="nofollow">How authorities and blockchain analysts are responding</a></li><li><a href="https://www.chainalysis.com/blog/ai-artificial-intelligence-powered-crypto-scams/#AI-scam-protection" rel="nofollow">Protecting yourself and your business from AI-powered crypto scams</a></li></ul><h2><a></a>What are AI-powered crypto scams?</h2>Unlike traditional crypto scams — typically manual and repetitive — AI-powered scams harness the speed, scale, and sophistication of modern machine learning (ML) models. They are therefore more adaptive, harder to spot, and often convincingly human.At the intersection of AI and crypto lies a perfect storm: crypto is decentralized, fast-moving, and not consistently regulated across jurisdictions. AI adds another layer of deception by creating fake identities, realistic conversations, and websites nearly indistinguishable from the real versions.Scammers are increasingly turning to AI because it offers scalability, believability, and automation. A single attacker can now deploy thousands of <a href="https://www.chainalysis.com/blog/preventing-authorized-push-payment-fraud-in-crypto/" rel="nofollow">phishing</a> messages, fake support agents, or investment bots — all generated and managed by AI.The chart below shows the share of the total scam ecosystem made up of known counterparties to AI software vendors. The volume share shows the proportion of total scam inflows to scams that have also sent value to AI software vendors on-chain (representing a likely purchase of AI tools). The deposits share shows that roughly 60% of all deposits into scam wallets on-chain go into scams that leverage AI. Both statistics have been steadily increasing since 2021, around when AI started to reach the mainstream, and show that this ecosystem is increasingly dominated by AI-powered scams.<img src="https://static.fwimg.io/img/feed/633471524638ac90ff2c547568cda46d.jpg" alt=""><h2><a></a>Common types of AI-powered crypto scams</h2>Here are some of the most common ways malicious actors are using AI in crypto:<ul><li><a href="https://beincrypto.com/goplus-exposes-crypto-scam-deepfake-threats-200-million-losses/" rel="nofollow">Deepfake scams</a>: AI-generated videos or images depict trusted public figures, influencers, or executives promoting fraudulent crypto projects or giveaways.</li><li><a href="https://www.dcu.org/financial-education-center/fraud-security/artificial-intelligence-scams-and-how-to-avoid-them.html" rel="nofollow">AI-generated phishing</a>: Fraudsters craft sophisticated phishing emails, fake websites, and direct messages using AI to mimic natural language and personalize attacks based on a user’s online behavior.</li><li><a href="https://malwaretips.com/blogs/invest-ai-robot-crypto-scam/" rel="nofollow">Fake investment bots</a>: Scammers deploy AI trading bots that simulate successful trades or offer fake signals to lure users into depositing funds or following questionable financial advice.</li><li><a href="https://cointelegraph.com/news/how-to-spot-a-fake-crypto-investment-platform-10-red-flags" rel="nofollow">Fraudulent automated trading platforms</a>: Entire trading websites or mobile apps are built around fake AI trading algorithms that guarantee high returns and siphon deposited crypto.</li><li><a href="https://decrypt.co/216188/ai-generated-fake-id-bypass-kyc-aml-banks-crypto-onlyfakes" rel="nofollow">KYC bypass</a>: Scammers use AI-generated images and/or credentials to bypass KYC controls and two-factor authentication (2FA).</li></ul><ul><li><a href="https://coinmarketcap.com/academy/article/beware-of-ai-crypto-trading-bot-scams-cftc-warns" rel="nofollow">Chatbot scams</a>: AI-powered bots infiltrate popular crypto communities on Discord and Telegram, and impersonate moderators or project administrators, tricking users into sharing wallet information or clicking malicious links.</li></ul><ul><li>AI customer support impersonation: Scammers use AI to mimic support agents from exchanges or wallet providers, often in real-time chats, to extract login credentials or recovery phrases.</li></ul><ul><li><a href="https://www.chainalysis.com/blog/2024-pig-butchering-scam-revenue-grows-yoy/" rel="nofollow">AI-assisted pig butchering scams</a>: Scammers gain a victim’s trust — often over weeks or months — before convincing them to invest large sums into fake crypto platforms, with AI supporting communication and content generation.</li></ul><ul><li><a href="https://www.cnn.com/2024/09/18/tech/ai-voice-cloning-scam-warning/index.html" rel="nofollow">Voice cloning and real-time scam calls</a>: AI replicates the voice of a known individual — such as a family member, colleague, or executive — to urgently request access to a user’s wallet or crypto exchange account.</li></ul><h2><a></a>Why AI makes crypto scams harder to detect</h2>AI-generated content gives scams a layer of realism that’s often difficult to distinguish from legitimate communication. For instance, phishing emails mirror the tone of official messages, fake landing pages closely resemble real investment platforms, and deepfake videos or synthetic voices add credibility to social media posts and direct outreach.Scammers are now operating at unprecedented speed and scale. With AI, they can generate thousands of personalized messages, fake profiles, or live chat responses in seconds, enabling real-time deception across multiple platforms and languages. Additionally, identity spoofing and AI-powered customer support impersonation make traditional verification methods less reliable.The biggest challenge is that legacy fraud detection systems weren’t designed to identify AI-powered scams. Static rules and keyword filters struggle to flag dynamic, AI-crafted content that continuously evolves; this is why AI-powered defenses are all the more important.<h2><a></a>How authorities and blockchain analysts are responding</h2>To counter the rise of AI-assisted crypto scams, investigators are turning to advanced detection techniques that go beyond traditional filters. Tools now incorporate pattern recognition, linguistic analysis, and behavioral modeling to identify suspicious activity, such as unusual message phrasing, bot-like behavior, or rapid message replication across platforms.Blockchain analytics plays a key role in tracing the financial side of these operations. By analyzing on-chain activity, investigators can follow the flow of funds from scam wallets to exchanges or mixers. When <a href="https://www.chainalysis.com/blog/preventing-crypto-fraud-with-off-chain-on-chain-data/" rel="nofollow">combined with off-chain intelligence</a>, these tools help unmask wallet addresses linked to coordinated AI-based fraud.As is the case with other types of crypto fraud, cross-industry collaboration is essential. Security firms, crypto exchanges, regulators, and law enforcement are working together to share threat intelligence, flag recurring scam patterns, and proactively shut down fraudulent campaigns before they scale.<h2><a></a>Protecting yourself and your business from AI-powered crypto scams</h2>Staying vigilant against AI-powered crypto scams starts with knowing what to look for. Deepfake scams often rely on urgency and authority — for instance, a video of a CEO like Elon Musk announcing a limited-time investment opportunity. Look for unnatural blinking, odd mouth movements, or inconsistent lighting.Phishing attempts may use near-perfect grammar and familiar branding, but often include subtle errors in domain names, crypto wallet addresses, or sender emails. Be cautious of unsolicited messages, even on platforms like Discord or Telegram — especially if they request sensitive information or funds.Businesses should go beyond basic cybersecurity training by teaching employees how to spot synthetic content and social engineering tactics. Additionally, regular audits of customer support channels, two-factor authentication (2FA), and role-based access controls can help minimize the impact of impersonation attacks. Finally, <a href="https://www.chainalysis.com/product/alterya/" rel="nofollow">AI-powered crypto fraud detection solutions</a> like Chainalysis Alterya can help identify scammers in real-time before they reach potential victims.Book a demo of Chainalysis Alterya’s fraud detection solution <a href="https://www.chainalysis.com/request-a-demo/" rel="nofollow">here</a>.This website contains links to third-party sites that are not under the control of Chainalysis, Inc. or its affiliates (collectively “Chainalysis”). Access to such information does not imply association with, endorsement of, approval of, or recommendation by Chainalysis of the site or its operators, and Chainalysis is not responsible for the products, services, or other content hosted therein. This material is for informational purposes only, and is not intended to provide legal, tax, financial, or investment advice. Recipients should consult their own advisors before making these types of decisions. Chainalysis has no responsibility or liability for any decision made or any other acts or omissions in connection with Recipient’s use of this material.Chainalysis does not guarantee or warrant the accuracy, completeness, timeliness, suitability or validity of the information in this report and will not be responsible for any claim attributable to errors, omissions, or other inaccuracies of any part of such material.The post <a href="https://www.chainalysis.com/blog/ai-artificial-intelligence-powered-crypto-scams/" rel="nofollow">AI-Powered Crypto Scams: How Artificial Intelligence is Being Used for Fraud</a> appeared first on <a href="https://www.chainalysis.com/" rel="nofollow">Chainalysis</a>.

AI-Powered Crypto Scams: How Artificial Intelligence is Being Used for Fraud

TL;DR 알위브(AR) 기반 사기가 암호화폐 산업에 영향을 미치고 있으며, 많은 사기꾼들이 디지털 자산의 익명성과 함께...
이 게시물 알위브(AR) 기반 암호화폐 사기: 인공지능이 어떻게...

<h2>TL;DR</h2><ul><li>인공지능 기반 사기가 암호화폐 산업에 영향을 미치고 있으며, 많은 사기꾼들이 디지털 자산의 익명성과 AI의 자동화를 결합하여 대규모로 사용자를 악용하고 있습니다.</li><li>일반적인 AI 기반 사기에는 딥페이크, 피싱 봇, 가짜 거래 플랫폼, 음성 복제, 채팅 애플리케이션에서의 사칭 등이 포함됩니다.</li><li>다행히도 체인알리시스 알테리아와 같은 도구들은 동일한 AI 기술을 활용하여 이러한 사기꾼들과 맞서 싸우고, 사기 탐지를 확장하고, 위협 대응을 자동화하며, 사기 시도에 앞서 대응하고 있습니다.</li></ul>

(전체 번역 내용은 동일한 방식으로 진행됩니다. 모든 텍스트를 한국어로 번역하되, <> 안의 내용은 그대로 유지합니다.)

AI 기반 암호화폐 사기: 인공지능이 사기에 사용되는 방식

암호화폐 거래자들이 소셜 미디어에서 시장 바닥을 확인할 만큼 충분한 공포감을 아직 보이지 않았다고 한 암호화폐 분석가는 말하며, 비트코인 가격이 여전히 7만 5천 달러 부근까지 하락할 수 있다고 시사했습니다.
"매우 유혹적으로 보이네요..."

암호화폐 시장은 아직 바닥을 쳤다고 단정짓기에는 ‘충분히 겁먹지 않았다’: 산티먼트

ME 뉴스에 따르면, 12월 21일(UTC+8) 이더 창시자 비탈릭 부테린은 파캐스터(Farcaster)에 글을 올려 예측 시장이 정서 주제에 대한 비이성적인 관점 에 대한 좋은 해결책이 될 수 있다고 주장했습니다. 그는 두 개의 스크린샷을 예시로 들었는데, 일론 머스크가 이전에 영국 내전이 "불가피하다"고 주장했던 것을 보여주면서 예측 시장 폴리마켓(Polymarket)에서는 "2024년에 영국 내전이 일어날 것인가?"라는 질문에 대해 3%의 확률만 제시했다는 것입니다. (비탈릭은 일부 베팅 참여자들이 확률을 부풀렸기 때문에 3%도 너무 높다고 생각합니다.) 비탈릭은...

비탈릭: 예측 시장은 정서 주제에 대한 과격한 관점 분산시켜 소셜 미디어의 "해결책"이 될 수 있습니다.

한 암호화폐 사용자가 대규모 온체인 공격으로 인한 주소 오염 사기에 속아 5천만 달러 상당의 테더 USDT(USDT) 잃었습니다.
웹3 보안 회사인 웹3 안티바이러스가 발견한 이 도용 사건은 사용자가 메시지를 보낸 후에 발생했습니다...