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Legal strategies to tackle fraud in early-stage investments in Asia
In the wake of the recent eFishery scandal early-stage investors are recalibrating their approach to due diligence and risk tolerance.
China | Publication | February 2025
The NFRA Data Rules apply to designated banking and insurance institutions (the Regulated Institutions) regulated by NFRA, such as commercial banks, trust companies, banking wealth management companies, insurance companies, insurance asset management companies and insurance group (holding) companies established in China.
These NFRA Data Rules also apply to such other financial institutions in banking or insurance sectors, NFRA regulated financial holding companies, and financial organisations regulated by local financial regulatory administrations (e.g. financial leasing companies and commercial factoring companies) by reference.
The NFRA Data Rules classify data into four categories including customer data, business data, operational and management data, and system operation and security management data. Depending on the importance and sensitivity of the data, all data is further graded into four levels i.e. core data, important data, sensitive data and other general data.
Under the Existing Data Regime, “important data” is subject to more stringent requirements (including the requirement on a security assessment before important data may be transferred outside of China).
According to the NFRA Data Rules, “important data” refers to the data of specific fields, specific groups or specific regions or data reaching certain level of accuracy and scale, which, once disclosed, tampered with or destroyed, may directly endanger national security, economic operation, social stability and public health and security. “Core data” further refers to those important data with more sensitivity and importance. Accordingly, both core data and important data defined under the NFRA Data Rules now fall within the “important data” category and thus are simultaneously regulated under the Existing Data Regime.
The NFRA Data Rules also provide that NFRA shall formulate a catalogue of important data and propose a catalogue of core data. Meanwhile, Regulated Institutions shall also prepare and submit their respective catalogue of important data (and its significant changes) to the NFRA or its local offices.
It is worth noting that the draft Administrative Measures on Data Security in the Business Areas supervised by the People’s Bank of China (the PBOC Data Draft Rules) requires data handlers to classify data into five sensitivity levels, which are different from the classification under the NFRA Data Rules. If the PBOC Data Draft Rules will be formally issued as is, considering that some Regulated Institutions’ data (e.g. anti-money laundering data) will ultimately fall within the scope of the PBOC Data Draft Rules, this inconsistency may potentially increase the regulatory and compliance burden of Regulated Institutions.
The NFRA Data Rules try to create a data security governance structure to be applied to Regulated Institutions and impose detailed and stringent obligations on the Regulated Institutions. It is advised that the Regulated institutions should study and review the provisions under the NFRA Data Rules, establish a compliance obligations checklist based on the relevant provisions, aiming to improve the data security management system, establish internal standards for data classification, strengthen data security and personal information protection, and implement a data security risk emergency response mechanism.
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In the wake of the recent eFishery scandal early-stage investors are recalibrating their approach to due diligence and risk tolerance.
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As we stand on the cusp of transformative change within the energy sector, anticipation builds around the UK government’s impending decision on the Review of Electricity Market Arrangements (REMA). This briefing provides a recap of the proposals made to date and looks at the potential future impact of the REMA proposals on market players.
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