Argentina's Public Prosecutor's Office (MPF) held specialized training sessions on August 19 and September 2 to teach prosecutors and judicial officials techniques for tracking, analyzing, and seizing virtual assets. Anti-money laundering expert Carmen Chena led the training remotely. The curriculum covered digital wallet financial analysis, cryptocurrency tracking methods, and legal procedures for asset freezing. MPF stated the training aims to address the growing role of cryptocurrencies in criminal cases. In the recent LIBRA token probe, Argentine judges have ordered the identification and freezing of 25 related wallets and the tracing of cross-chain fund flows.

Argentina’s Public Prosecutor’s Office, or MPF, has trained prosecutors, officials, and staff to trace, analyze, and seize virtual assets, according to Techub News, citing Crypto.news. The office said the move comes as cryptocurrencies are taking on a larger role in criminal investigations in the country. MPF said the training is intended to strengthen law enforcement’s ability to handle crypto-related crimes. The update points to a more structured approach from Argentine authorities as virtual assets become more relevant in investigative work. The announcement did not disclose additional details about the training program, including its duration or specific operational procedures, but it framed the effort around improving investigative and enforcement capacity tied to crypto activity.

Argentina’s Public Prosecutor’s Office, or MPF, held two internal training sessions on virtual assets on Aug. 19 and Sept. 2, 2026, according to CriptoNoticias. The sessions were conducted over Zoom and targeted internal staff, officials, and judges. The course was titled “Virtual Assets: Financial Analysis, Tracing, Detection and Seizure.” Anti-money laundering lawyer Carmen Chena led the program. The training covered digital wallet asset analysis, domestic and international legal frameworks, the cryptocurrency ecosystem, and practical case studies tied to preservation measures. CriptoNoticias also noted that Argentina’s judiciary has already built experience in crypto-related cases. Examples cited in the report include the freezing of 3 million USDT in December 2024 and a 2022 ruling ordering Binance to return stolen BTC. The sessions point to continued institutional work around cryptocurrency investigations and judicial handling of digital assets within the country.

Hong Kong's financial regulators are moving ahead with a regulatory sandbox built for generative AI. The HKMA, SFC, Insurance Authority and MPFA, together with Cyberport, have released the first participant cohort for the GenA.I. Sandbox++. Out of nearly 100 proposals, 36 use cases were selected, coming from 30 financial institutions and 27 technology partners. Bank of China (Hong Kong), China Asset Management, Ant Blockchain, Google and IBM are among those included. The initial cohort is set to focus on agentic AI, with the aim of exploring ways to boost AI autonomy responsibly rather than sticking to content generation alone. Test scopes cover complete workflows in customer account opening, payments, insurance claims and customer interaction.

A Foresight article has mapped out four Hong Kong government-backed programs that tech startups may use to secure funding, R&D hiring support, and talent visas. The list covers Cyberport’s 24-month incubation program, the Hong Kong Science and Technology Parks (HKSTP) incubation program, the Research Talent Hub (RTH), and the Technology Talent Admission Scheme (TechTAS). Together, the programs span direct cash grants, market-expansion subsidies, rent support, monthly salary subsidies for STEM researchers, and immigration pathways for overseas and mainland tech hires. According to the article, Cyberport’s program is positioned for AI, Web3, and software startups, while HKSTP’s incubation track is aimed at deeper-tech companies with stronger research capacity. RTH focuses on subsidizing STEM research talent, and TechTAS is presented as a hiring and visa route rather than a funding scheme. The article also breaks down each program’s eligibility rules, application timelines, strengths, and drawbacks, including milestone-based disbursement, SAFE requirements in some cases, and long approval timelines for talent subsidies. The piece concludes with a practical ranking: Cyberport first for most AI, Web3, and software teams, RTH as an early application for qualified firms, HKSTP for research-heavy hard-tech startups, and TechTAS once international hiring becomes a priority.