教授，博士生導師。復旦大學中國反洗錢研究中心首任主任，復旦大學俄...
復旦大學國際金融學院教授，中國反洗錢研究中心執行主任，陸家嘴金...
復旦大學法學院教授、博士生導師；復旦大學國際刑法研究中心主任。...
華東政法大學刑法學教授，復旦大學中國反洗錢研究中心特聘研究員，荷...
安永金融服務風險管理、咨詢總監，曾任螞蟻金服反洗錢總監，復旦大學...
周錦賢先生，香港人，廣州暨南大學法律學士，復旦大學中國反洗錢研究中...
高級經濟師，復旦大學金融學博士，復旦大學經濟學博士后。現供職于中...
武漢中南財經政法大學信息安全學院教授。長期專注于反洗錢/反恐...
生辰：1977.7.26 籍貫：遼寧撫順 民族：漢 黨派：九三學社 職稱：教授 研究...
祝亞雄，1974年生，浙江衢州人。浙江師范大學經濟與管理學院副教授，博...
復旦大學中國反洗錢研究中心特聘研究員；現任安永管理咨詢服務合伙...
工作履歷：曾在國家審計署從事審計工作，是國家第一批政府審計師；曾在...
https://thelawreporters.com/uae-central-bank-unveils-suptech-initiative-against-money-laundering/
The Central Bank of the UAE (CBUAE) is set to launch a pioneering Supervisory Technology (SupTech) initiative aimed at effectively combating money laundering operations. This initiative marks a significant advancement in the region's approach to financial crime prevention.
Khaled Mohamed Balama, Governor of the CBUAE, emphasized that SupTech will facilitate early detection and warnings of potential risks through data assessment processes, allowing authorities to gauge their exposure to money laundering activities.
During the recent National Summit on Financial Crime Compliance, Balama reiterated the UAE’s commitment to maintaining the integrity of the global financial system. He outlined strategic measures taken by the CBUAE to strengthen the legal and regulatory framework, enabling authorities to adapt to the evolving risk landscape.
The two-day summit brought together local and international experts, regulatory bodies, and law enforcement officials. Approximately 45 speakers discussed critical topics related to financial crime compliance, including Anti-Money Laundering (AML) and Combating the Financing of Terrorism (CFT).
Fatma Al Jabri, Assistant Governor for Financial Crime, Market Conduct and Consumer Protection, and a member of the National Anti-Money Laundering Committee, noted that the CBUAE has intensified efforts to enhance cooperation with the international community in combating money laundering and terrorism financing. The bank is adopting a technology-driven approach to improve its control and supervision processes.
The first day of the summit addressed the national and regional strategies for managing financial crime risks, focusing on transforming threats into opportunities, as well as mitigating risks related to proliferation financing and trade-based money laundering. Participants included representatives from various regulatory bodies and local banks.
The second day concentrated on the integration of artificial intelligence (AI) in anti-money laundering efforts, highlighting the role of law enforcement agencies in meeting the Financial Action Task Force’s (FATF) Immediate Outcomes 6, 7, and 8. Sessions discussed the critical role of AI in enhancing financial crime detection while underscoring the importance of human resources in interpreting AI results and making informed decisions.
Discussions also covered the advantages of AI in crime detection and its adaptability in risk assessment, alongside concerns regarding data management, protection, and the need for stringent security measures to proactively identify and mitigate potential vulnerabilities.