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Policy and Re
2026-08-07 07:36:26

AI tools are being used to flag sham token projects and on-chain pyramid schemes

Regulators and security teams are increasingly using artificial intelligence to spot suspicious crypto projects before they scale. The article outlines how AI can scan white papers, marketing copy, team backgrounds, social media activity, fundraising claims, smart contract structures, and on-chain fund flows to detect patterns often linked to fake token offerings, multi-level referral schemes, and other illicit activity. It points to several concrete examples and policy signals. A June 2026 warning from Shenzhen’s financial regulator said bad actors were using labels such as “AI agents,” “AI quantitative investment,” and “Web3.0” to conduct illegal fundraising. The piece also cites the “Fun Coffee” virtual currency investment case in Hong Kong, which had drawn 225 reports involving HK$94 million as of early August 2026. Lawmaker Johnny Ng said the case involved a Ponzi scheme and a layered person-to-person recruitment structure. The article argues that AI can help by identifying templated white papers, fake community traction, fabricated investment claims, pyramid-style capital structures, rapid fund aggregation, abnormal rebate models, and wallet links to blacklists or mixers such as Tornado Cash. At the same time, it stresses that AI is not a final judge. False positives remain possible, decentralization does not equal illegality, and human review is still needed alongside data analysis and on-chain evidence.

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AI tools are being used to flag sham token projects and on-chain pyramid schemes
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VASP
2026-08-04 12:08:34

Tsai Yu-ling says VASPs will be treated as financial institutions under Taiwan’s licensing regime

At a media briefing for Taipei’s "Trendy Taipei 2026" tech event on Aug. 4, Asian FinTech Alliance (AFA) chair and honorary chair of the Taiwan FinTech Association Tsai Yu-ling said she had specifically checked with Taiwan’s Financial Supervisory Commission and was told that virtual asset service providers, or VASPs, will be classified as "financial institutions" under the new licensing framework rather than "quasi-financial institutions." Tsai said the change reflects how crypto assets, which were not legally defined assets last year, have now become legal and compliant assets after the passage of the dedicated law, and can be regarded as financial assets with FSC approval. She also pointed to the next issue for the market: how traditional financial institutions will work with VASP operators now that the law allows financial institutions to run such business lines concurrently. The event also outlined the first AFA Awards, which drew 88 nominations from 16 economies. Nine international judges are set to travel to Taipei for the Sept. 1 final and awards ceremony, where the Top 10 companies will pitch live and winners will be selected on site. FinTechOn 2026 and the second AFA Summit will follow on Sept. 2-3, with speakers including GBBC CEO Sandra Ro, Peter Kerstens, an Abu Dhabi regulator representative, and a JPMorgan managing director overseeing Asia-Pacific product for securities services.

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Tsai Yu-ling says VASPs will be treated as financial institutions under Taiwan’s licensing regime
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Japan FSA
2026-07-25 09:07:05

Japan FSA wraps up crypto AML information-sharing pilot led by Hitachi and 15 institutions

Japan’s Financial Services Agency said on July 24 that it had completed a proof-of-concept project on anti-money laundering information sharing for crypto assets and electronic payment instruments under its FinTech PoC Hub. The pilot, run from March to May 2026, was designed to test whether private-sector participants could exchange risk data across institutions, including suspicious blockchain addresses, transaction data, risk classifications, risk scores, and the basis for those assessments. The project was proposed and led by Hitachi, Ltd., with more than 15 organizations taking part. Participants included Aozora Bank, yen stablecoin issuer JPYC, GMO Coin, Chainalysis Japan, NEC, and Rakuten Wallet. According to the FSA, the trial covered three monitoring models: post-transaction reviews, real-time pre-transaction assessments, and token monitoring for issued electronic payment instruments. All three were found to be workable in practice. The agency said cross-institution information sharing could expose industry-wide risk patterns that a single exchange or company might miss on its own. It also said a combination of rule-based screening and machine learning helped identify known sanctioned entities as well as newly emerging suspicious patterns. At the same time, the FSA stressed that system alerts alone were not enough and that institutions must verify alerts themselves before restricting a transaction, while also putting data governance safeguards in place.

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Japan FSA wraps up crypto AML information-sharing pilot led by Hitachi and 15 institutions