Overseas enterprise safety risk assessment method, system, equipment and product

Abstract

The invention belongs to the technical field of computers, and aims to provide an overseas enterprise security risk assessment method, system, device and product. The method comprises the following steps: constructing an initial dynamic risk assessment model, and training the initial dynamic risk assessment model by using sample data to obtain a target dynamic risk assessment model; market data of a target enterprise in a target country is acquired in real time based on a big data technology, and data fusion processing is performed on the market data to obtain fused market data; performing feature extraction processing on the fused market data through feature engineering to obtain market feature data; and inputting the market feature data into the target dynamic risk assessment model to obtain a safety risk assessment result of the target enterprise in the target country. According to the invention, the accuracy of the overseas enterprise safety risk assessment result can be improved, and the real-time performance of the assessment is high.

Description

Technical Field

[0001] The present invention belongs to the field of computer technology, and particularly relates to a method, system, device and product for security risk assessment of overseas enterprises. Background Art

[0002] With the acceleration of the globalization process, more and more enterprises are expanding their businesses into overseas markets. However, the risks brought by cross-border operations are also increasing day by day. Especially in terms of politics, economy, law, society, and natural disasters, the external environment faced by enterprises has become more complex and unpredictable. Therefore, the security risk assessment of overseas enterprises has become an essential part when enterprises conduct global layout.

[0003] The existing methods for security risk assessment of overseas enterprises mainly include steps such as information collection, risk identification, risk assessment, risk rating and decision-making, and monitoring and feedback. Specifically, enterprises usually rely on public data sources, such as reports released by governments, industry research, news reports, etc., to collect various information related to the target country. After classifying and processing this information, qualitative and quantitative analyses are carried out through traditional methods such as SWOT (Superiority Weakness Opportunity Threats) analysis method, PEST (Political Economic Social Technological) analysis method, fault tree analysis (FTA), Delphi method, etc., so as to identify and evaluate various risks that may affect the enterprise.

[0004] However, the existing technical solutions face many problems and challenges in practice. During the use of the existing technology, the inventor found that there are at least the following problems in the existing technology:

[0005] Firstly, the quality and availability of data are important factors affecting the accuracy of risk assessment results. Due to the great difficulty in obtaining information in overseas markets, the data sources are often limited or biased, resulting in the risk assessment results may not be comprehensive or accurate enough. Secondly, most of the existing risk assessment methods are based on static data, while the international environment is highly dynamic, and traditional assessment methods are difficult to reflect the changes in the environment in real time, resulting in the assessment results being prone to becoming outdated. Summary of the Invention

[0006] The present invention aims to solve the above technical problems at least to a certain extent, and provides a method, system, device and product for security risk assessment of overseas enterprises.

[0007] To achieve the above object, the present invention adopts the following technical solutions:

[0008] In the first aspect, the present invention provides a method for security risk assessment of overseas enterprises, including:

[0009] Construct an initial dynamic risk assessment model and train the initial dynamic risk assessment model using sample data to obtain a target dynamic risk assessment model;

[0010] Based on big data technology, obtain the market data of the target enterprise in the target country in real time, and perform data fusion processing on the market data to obtain the fused market data;

[0011] Perform feature extraction processing on the fused market data through feature engineering to obtain market feature data;

[0012] Input the market feature data into the target dynamic risk assessment model to obtain the security risk assessment result of the target enterprise in the target country.

[0013] In a possible design, the initial dynamic risk assessment model includes an input layer, a fully connected layer, a time series processing layer, a Dropout layer, and an output layer connected in sequence.

[0014] In a possible design, after obtaining the target dynamic risk assessment model, the method further includes: retraining the target dynamic risk assessment model and updating parameters regularly.

[0015] In a possible design, performing data fusion processing on the market data to obtain the fused market data includes:

[0016] Perform preprocessing on the market data to obtain preprocessed market data;

[0017] Align the data from different data sources in the preprocessed market data to obtain the market data after alignment processing;

[0018] Fuse the different data sources in the market data after alignment processing to obtain the market data after fusion processing.

[0019] In a possible design, the market data includes political data, economic data, social data, and natural disaster data; the market data after fusion processing includes a comprehensive risk score, a spatial risk distribution map, risk factor weights, and risk factor time series data.

[0020] In a possible design, after obtaining the security risk assessment result of the target enterprise in the target country, the method further includes:

[0021] Perform uncertainty quantification and multivariate analysis processing on the security risk assessment result to obtain the security risk uncertainty analysis result, the sensitivity analysis result of each risk factor, and the mutual influence analysis result between multivariate variables;

[0022] According to the results of the safety risk assessment, the analysis results of the uncertainty of safety risks, the sensitivity analysis results of each risk factor, and the analysis results of the mutual influence among multiple variables, a risk response strategy plan for the target enterprise in the target country is obtained.

[0023] In a second aspect, the present invention provides an overseas enterprise safety risk assessment system for implementing the overseas enterprise safety risk assessment method as described in any one of the above; the overseas enterprise safety risk assessment system includes:

[0024] A model acquisition module, configured to construct an initial dynamic risk assessment model and train the initial dynamic risk assessment model using sample data to obtain a target dynamic risk assessment model;

[0025] A data extraction module, configured to obtain market data of a target enterprise in a target country in real time based on big data technology and perform data fusion processing on the market data to obtain fused market data;

[0026] A feature extraction module, communicatively connected to the data extraction module, configured to perform feature extraction processing on the fused market data through feature engineering to obtain market feature data;

[0027] A safety risk assessment module, communicatively connected to the model acquisition module and the feature extraction module respectively, configured to input the market feature data into the target dynamic risk assessment model to obtain a safety risk assessment result of the target enterprise in the target country.

[0028] In a third aspect, the present invention provides an electronic device, including:

[0029] A memory, configured to store computer program instructions; and,

[0030] A processor, configured to execute the computer program instructions to complete the operations of the overseas enterprise safety risk assessment method as described in any one of the above.

[0031] In a fourth aspect, the present invention provides a computer-readable storage product, on which instructions are stored, and when the instructions are run on a computer, the overseas enterprise safety risk assessment method as described in any one of the above is executed.

[0032] In a fifth aspect, the present invention provides a computer program product, including a computer program or instructions, and when the computer program or the instructions are executed by a computer, the overseas enterprise safety risk assessment method as described in any one of the above is implemented.

[0033] The beneficial effects of the present invention are:

[0034] The present invention discloses a method, system, device and product for security risk assessment of overseas enterprises, which can improve the accuracy of the security risk assessment results of overseas enterprises and has strong real-time performance in assessment. Specifically, in the implementation process of the present invention, an initial dynamic risk assessment model is pre-constructed, and the initial dynamic risk assessment model is trained using sample data to obtain a target dynamic risk assessment model. In the process of risk assessment of overseas enterprises, market data of a target enterprise in a target country is obtained in real time based on big data technology, and the market data is subjected to data fusion processing to obtain fused market data. Subsequently, feature extraction processing is performed on the fused market data through feature engineering to obtain market feature data. Finally, the market feature data is input into the target dynamic risk assessment model to obtain the security risk assessment result of the target enterprise in the target country. In this process, the present invention obtains the market data of the target enterprise in the target country in real time, performs data fusion processing on it, and then performs feature extraction processing on the fused market data, so as to perform the security risk assessment of the target enterprise in the target country based on the obtained market feature data through the target dynamic risk assessment model, thereby improving the overall quality of the data to be processed by the target dynamic risk assessment model, and further making the accuracy of the security risk assessment result higher. At the same time, the implementation assessment of the security risk of the target enterprise in the target country can be realized, which can provide a more reliable security guarantee for the globalization strategy of the target enterprise.

[0035] Other beneficial effects of the present invention will be further described in the specific implementation manner. Brief Description of the Drawings

[0036] Figure 1 is a flowchart of a method for security risk assessment of overseas enterprises in an embodiment;

[0037] Figure 2 is a block diagram of modules of a system for security risk assessment of overseas enterprises in an embodiment;

[0038] Figure 3 is a block diagram of modules of an electronic device in an embodiment. Specific Embodiment

[0039] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the present invention in combination with the drawings and the descriptions of the embodiments or the prior art. Obviously, the following descriptions of the structures of the drawings are only some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts. It should be noted here that the descriptions of these embodiment modes are used to help understand the present invention, but do not constitute a limitation to the present invention.

[0040] Embodiment 1:

[0041] This embodiment discloses a method for assessing the security risks of overseas enterprises, which can be, but is not limited to, executed by a computer device or virtual machine with certain computing resources, such as an electronic device like a personal computer, smartphone, personal digital assistant, or wearable device, or by a virtual machine.

[0042] As Figure 1 shown, a method for assessing the security risks of overseas enterprises can, but is not limited to, include the following steps:

[0043] S1. Construct an initial dynamic risk assessment model and use sample data to train the initial dynamic risk assessment model to obtain a target dynamic risk assessment model; it should be noted that in the process of training the initial dynamic risk assessment model in this embodiment, methods such as cross-validation are used to evaluate the accuracy and reliability of the model. In this embodiment, the initial dynamic risk assessment model is constructed based on machine learning and artificial intelligence. During the implementation process, data can be input into the target dynamic risk assessment model in real time, thereby realizing continuous update and adjustment of the risk assessment results.

[0044] In this embodiment, the initial dynamic risk assessment model includes an input layer, a fully connected layer, a time series processing layer, a Dropout layer (a structure that can be used to reduce overfitting of neural networks), and an output layer connected in sequence. Specifically, in this embodiment, the input layer is used to receive input data and input it into the fully connected layer; the fully connected layer extracts high-level feature data of the input data layer by layer and inputs it into the time series processing layer; the time series processing layer is used to capture the dynamic changes in the high-level feature data and transfer the processed time series feature data to the next layer; the Dropout layer randomly ignores some neurons to prevent model overfitting and transfers the regularized features to the output layer; the output layer is used to generate and output the final risk prediction result.

[0045] The sample data includes historical market feature data and historical risk event information obtained based on the historical market data of the target country; correspondingly, using the sample data to train the initial dynamic risk assessment model to obtain a target dynamic risk assessment model includes:

[0046] Taking the historical market feature data as the input data of the initial dynamic risk assessment model, taking the historical risk time information as the label of the initial dynamic risk assessment model for supervised learning, and using cross-validation or time window sliding method to verify the generalization ability and prediction accuracy of the model, so as to obtain a target dynamic risk assessment model.

[0047] During the implementation of this embodiment, after obtaining the target dynamic risk assessment model, as more real-time data is acquired, the method further includes: regularly retraining and updating the parameters of the target dynamic risk assessment model to ensure its sensitivity and accuracy to the changing environment.

[0048] S2. Based on big data technology, real-time obtain the market data of the target enterprise in the target country, and perform data fusion processing on the market data to obtain the fused market data; specifically, in this embodiment, relevant market data is obtained from multiple channels in the target country based on big data technology, and the market data includes political data, economic data, social data, natural disaster data, etc., which are related to the operation of the enterprise in the target country. As an example, in this embodiment, the political data includes information such as the political stability score (e.g., on a scale of 1-10), the number of government turnovers in the past five years, and the main policy change rate of the target country, which can be obtained from data such as government release reports and news reports in the target country; the economic data includes macroeconomic indicators such as the GDP (Gross Domestic Product) growth rate, inflation rate, foreign exchange rate change rate, and the frequency of economic crises in the past ten years of the target country, which can be obtained from public databases such as the International Monetary Fund or the World Bank; the social data includes data such as the number of social unrest events, crime rate, and labor growth rate in the target country, which can be obtained from the local government's statistics bureau or data of international organizations such as the United Nations; the natural disaster data includes record information related to the intensity and loss estimation of historical disasters such as earthquakes, typhoons, and floods in the target country, which can be obtained from meteorological bureaus, seismic networks, or satellite remote sensing data.

[0049] In this embodiment, after fusing different types of market data using data fusion technology, different types of market data are also integrated into a preset data platform, so as to continuously monitor the changes of risk factors through the real-time update function of the data platform, and at the same time, it is beneficial to simplify the subsequent data call process and improve the real-time utilization of data.

[0050] Specifically, in step S2, performing data fusion processing on the market data to obtain the fused market data includes:

[0051] S201. Preprocess the market data to obtain preprocessed market data. Specifically, in this embodiment, preprocessing such as denoising, missing value handling, and standardization is performed on the market data to improve the efficiency of subsequent data processing and the accuracy of model analysis. Specifically, if the market data is data obtained from social media, it may contain a large amount of irrelevant information, which needs to be denoised through text analysis techniques such as natural language processing. There may be missing values in some data sets of the market data, and interpolation, mean filling, or using similar sample data can be used to complete the missing value handling of the market data. In addition, to ensure that the same type of data in the market data uses the same unit and format, for example, the currency unit in economic data needs to be unified to US dollars, and the time format needs to be unified to "YYYY-MM-DD". At this time, standardization processing is used to unify the unit and format of the market data, etc., to ensure the accuracy and consistency of the preprocessed market data, which helps to improve the prediction accuracy of the target dynamic risk assessment model.

[0052] S202. Align the data from different data sources in the preprocessed market data to obtain aligned market data. Specifically, in this embodiment, the preprocessed market data from different sources can be aligned in terms of time and / or space. For example, the economic data of the target country can be aligned annually and matched with political and social data on the same time scale to reflect the comprehensive market situation in a certain period.

[0053] S203. Fuse the different data sources in the aligned market data to obtain fused market data for comprehensive analysis in subsequent steps. Specifically, in this embodiment, the weighted average method, Bayesian estimation, or machine learning model can be used to fuse the same type of data from different data sources in the aligned market data. For example, using the economic data from different data sources, a more reliable regional economic growth rate prediction value can be obtained through weighted average, and this value is the fused market data.

[0054] As an example, in this embodiment, the obtained fused market data includes a comprehensive risk score, a spatial risk distribution map, risk factor weights, and risk factor time series data. Among them, the comprehensive risk score is the comprehensive risk score of the target country, including multiple dimensions such as politics, economy, society, and natural disasters. The spatial risk distribution map includes the spatial distribution data of different risk types in the target country, which helps overseas enterprises intuitively understand high-risk areas. The risk factor weights include the contribution analysis data of different risk factors (such as politics, economy, society, etc.) to the comprehensive risk score. The risk factor time series data includes the time series of risk factor data such as economic data and political data.

[0055] S3. Feature engineering is used to perform feature extraction processing on the fused market data to obtain market feature data. It should be noted that the market feature data is also the feature data in the fused market data that has the greatest impact on the security risk of the target enterprise.

[0056] In step S3, the market feature data includes the annual growth rate and volatility of economic data, the trend information of political stability scores, and the frequency of social unrest events, etc. Among them, the annual growth rate and volatility of economic data are obtained by processing economic data using methods such as moving average and difference. The trend information of political stability scores is obtained by counting the frequency of political events. The frequency of social unrest events is obtained based on the count of unrest events each year.

[0057] S4. The market feature data is input into the target dynamic risk assessment model to obtain the security risk assessment result of the target enterprise in the target country. As an example, when political unrest occurs in a certain country in Southeast Asia, the political stability score data will be immediately input into the model, and the model will recalculate the future risk assessment result. Specifically, in this embodiment, the security risk assessment result includes but is not limited to data such as comprehensive risk scores, risk warning information, the weights of different risk factors, and risk impact degrees, etc. Among them, the comprehensive risk score can be specific to the region of the target country. When the comprehensive risk score is greater than the threshold, a high-level risk warning information can be output to send a risk signal to the target enterprise, so that the enterprise can more accurately grasp the risk changes in the overseas market, take preventive measures in advance, adjust the strategy in a timely manner, and thus improve the security and success rate of international operations.

[0058] Due to the complex interactions and uncertainties among different risk factors, it is difficult for existing methods to effectively quantify these interactions, thus affecting the accuracy of the assessment. Therefore, this embodiment further makes the following improvements: After obtaining the security risk assessment result of the target enterprise in the target country, the method further includes:

[0059] S5. Perform uncertainty quantification and multivariate analysis processing on the security risk assessment result to obtain the security risk uncertainty analysis result, the sensitivity analysis result of each risk factor, and the mutual influence analysis result among multiple variables. It should be noted that by quantifying the potential uncertainty of the security risk assessment result, it is convenient for the enterprise to better understand the reliability of the risk assessment result and formulate a more robust response strategy based on this.

[0060] S6. Based on the results of the security risk assessment, the analysis results of the uncertainty of security risks, the sensitivity analysis results of each risk factor, and the analysis results of the mutual influence among multiple variables, a risk response strategy plan for the target enterprise in the target country is obtained. Specifically, in this embodiment, the risk response strategy plan includes content such as decision-making suggestions, emergency plans, and investment risk adjustment suggestions, so as to provide auxiliary support for decision-makers.

[0061] This embodiment can improve the accuracy of the security risk assessment results of overseas enterprises, and at the same time has strong real-time performance in the assessment. Specifically, during the implementation of this embodiment, an initial dynamic risk assessment model is pre-constructed, and the initial dynamic risk assessment model is trained using sample data to obtain a target dynamic risk assessment model. During the process of risk assessment of overseas enterprises, market data of the target enterprise in the target country is obtained in real time based on big data technology, and the market data is subjected to data fusion processing to obtain fused market data. Subsequently, feature extraction processing is performed on the fused market data through feature engineering to obtain market feature data. Finally, the market feature data is input into the target dynamic risk assessment model to obtain the security risk assessment result of the target enterprise in the target country. During this process, this embodiment obtains the market data of the target enterprise in the target country in real time, performs data fusion processing on it, and then performs feature extraction processing on the fused market data, so as to perform the security risk assessment of the target enterprise in the target country based on the obtained market feature data through the target dynamic risk assessment model, thereby improving the overall quality of the data to be processed by the target dynamic risk assessment model, and further making the security risk assessment result more accurate. At the same time, the implementation assessment of the security risk of the target enterprise in the target country can be realized, which can provide a more reliable security guarantee for the globalization strategy of the target enterprise.

[0062] Embodiment 2:

[0063] This embodiment discloses an overseas enterprise security risk assessment system for implementing the overseas enterprise security risk assessment method in Embodiment 1; as Figure 2 shown, the overseas enterprise security risk assessment system includes:

[0064] A model acquisition module, configured to construct an initial dynamic risk assessment model, and train the initial dynamic risk assessment model using sample data to obtain a target dynamic risk assessment model;

[0065] A data extraction module, configured to obtain market data of the target enterprise in the target country in real time based on big data technology, and perform data fusion processing on the market data to obtain fused market data;

[0066] A feature extraction module, communicatively connected to the data extraction module, is configured to perform feature extraction processing on the fused market data through feature engineering to obtain market feature data;

[0067] A security risk assessment module, communicatively connected to the model acquisition module and the feature extraction module respectively, is configured to input the market feature data into the target dynamic risk assessment model to obtain a security risk assessment result of the target enterprise in the target country.

[0068] It should be noted that for the working process, working details and technical effects of the overseas enterprise security risk assessment system provided in this Embodiment 2, reference can be made to Embodiment 1, which will not be elaborated herein.

[0069] Embodiment 3:

[0070] Based on Embodiment 1 or 2, this embodiment discloses an electronic device, which may be a smart phone, a tablet computer, a notebook computer, a desktop computer, etc. The electronic device may be referred to as a user terminal, a portable terminal, a desktop terminal, etc. As Figure 3 shown, the electronic device includes:

[0071] A memory, configured to store computer program instructions; and,

[0072] A processor, configured to execute the computer program instructions to complete the operations of the overseas enterprise security risk assessment method as described in any one of Embodiment 1.

[0073] Specifically, the processor 301 may include one or more processing cores, such as a 4-core processor, an 8-core processor, etc. The processor 301 may be implemented in at least one hardware form of DSP (Digital Signal Processing), FPGA (Field-Programmable Gate Array), PLA (Programmable Logic Array). The processor 301 may also include a main processor and a coprocessor. The main processor is a processor for processing data in the wake state, also known as the CPU (Central Processing Unit); the coprocessor is a low-power processor for processing data in the standby state. In some embodiments, the processor 301 may be integrated with a GPU (Graphics Processing Unit), and the GPU is responsible for rendering and drawing the content to be displayed on the display screen.

[0074] The memory 302 may include one or more computer-readable storage media, which may be non-transitory. The memory 302 may also include high-speed random access memory, as well as non-volatile memory, such as one or more disk storage devices and flash storage devices. In some embodiments, the non-transitory computer-readable storage media in the memory 302 is used to store at least one instruction for being executed by the processor 301 to implement the overseas enterprise security risk assessment method provided in Embodiment 1 of this application.

[0075] In some embodiments, the terminal may further optionally include: a communication interface 303 and at least one peripheral device. The processor 301, the memory 302, and the communication interface 303 may be connected through a bus or signal lines. Each peripheral device may be connected to the communication interface 303 through a bus, signal lines, or a circuit board. Specifically, the peripheral device includes at least one of a radio frequency circuit 304, a display screen 305, and a power supply 306.

[0076] The communication interface 303 may be used to connect at least one peripheral device related to I / O (Input / Output) to the processor 301 and the memory 302. In some embodiments, the processor 301, the memory 302, and the communication interface 303 are integrated on the same chip or circuit board; in some other embodiments, any one or two of the processor 301, the memory 302, and the communication interface 303 may be implemented on a separate chip or circuit board, and this embodiment does not limit this.

[0077] The radio frequency circuit 304 is used to receive and transmit RF (Radio Frequency) signals, also known as electromagnetic signals. The radio frequency circuit 304 communicates with a communication network and other communication devices through electromagnetic signals.

[0078] The display screen 305 is used to display a UI (User Interface). The UI may include graphics, text, icons, videos, and any combination thereof.

[0079] The power supply 306 is used to supply power to each component in the electronic device.

[0080] Embodiment 4:

[0081] Based on any one of Embodiments 1 to 3, this embodiment discloses a computer-readable storage product. Instructions are stored on the computer-readable storage product. When the instructions run on a computer, they execute the overseas enterprise security risk assessment method described in any one of Embodiments 1. Among them, the computer-readable storage product refers to a carrier for storing data, and may include, but is not limited to, computer-readable storage media such as floppy disks, optical discs, hard disks, flash memories, USB flash drives, and / or Memory Sticks. The computer may be a general-purpose computer, a special-purpose computer, a computer network, or other programmable devices.

[0082] Embodiment 5:

[0083] Based on any one of Embodiments 1 to 3, this embodiment discloses a computer program product, including a computer program or instructions. When the computer program or the instructions are executed by a computer, they implement the overseas enterprise security risk assessment method described in any one of Embodiments 1. Among them, the computer may be a general-purpose computer, a special-purpose computer, a computer network, or other programmable devices.

[0084] Obviously, those skilled in the art should understand that the above-mentioned modules or steps of the present invention can be implemented by a general-purpose computing device. They can be concentrated on a single computing device or distributed on a network composed of multiple computing devices. Optionally, they can be implemented by program codes executable by the computing device. Thus, they can be stored in a storage device and executed by the computing device, or they can be separately fabricated into individual integrated circuit modules, or multiple modules or steps among them can be fabricated into a single integrated circuit module to implement. In this way, the present invention is not limited to any specific combination of hardware and software.

[0085] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit them. Although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions described in the foregoing embodiments or perform equivalent replacements for some of the technical features. These modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the various embodiments of the present invention.

Claims

1. A method for assessing security risks of overseas enterprises, characterized in that: include: Constructing an initial dynamic risk assessment model, and using sample data to train the initial dynamic risk assessment model to obtain a target dynamic risk assessment model; Based on big data technology, the market data of the target enterprise in the target country is obtained in real time, and the market data is fused to obtain fused market data; Performing feature extraction processing on the fused market data through feature engineering to obtain market feature data; The market characteristic data is input into the target dynamic risk assessment model to obtain the security risk assessment result of the target enterprise in the target country.

2. According to claim 1, a method for assessing the security risks of overseas enterprises is characterized in that: The initial dynamic risk assessment model includes an input layer, a fully connected layer, a time series processing layer, a Dropout layer and an output layer which are connected in sequence.

3. According to claim 1, a method for assessing the security risks of overseas enterprises is characterized in that: After obtaining the target dynamic risk assessment model, the method further comprises: regularly retraining and updating parameters of the target dynamic risk assessment model.

4. According to claim 1, a method for assessing security risks of overseas enterprises is characterized in that: Performing data fusion processing on the market data to obtain fused market data includes: Preprocessing the market data to obtain preprocessed market data; Aligning the data from different data sources in the pre-processed market data to obtain aligned market data; The different data sources in the aligned market data are fused to obtain fused market data.

5. The overseas enterprise security risk assessment method according to claim 1 is characterized in that: The market data includes political data, economic data, social data and natural disaster data; the fused market data includes comprehensive risk scores, spatial risk distribution maps, risk factor weights and risk factor time series data.

6. The overseas enterprise security risk assessment method according to claim 1 is characterized in that: After obtaining the security risk assessment result of the target enterprise in the target country, the method further includes: Perform uncertainty quantification and multivariate analysis on the safety risk assessment results to obtain safety risk uncertainty analysis results, sensitivity analysis results of various risk factors, and mutual influence analysis results among multiple variables; Based on the security risk assessment results, security risk uncertainty analysis results, sensitivity analysis results of various risk factors and mutual influence analysis results among multiple variables, a risk response strategy plan for the target enterprise in the target country is obtained.

7. An overseas enterprise security risk assessment system, characterized in that: Used to implement the overseas enterprise security risk assessment method as described in any one of claims 1 to 6; The overseas enterprise security risk assessment system includes: A model acquisition module is used to construct an initial dynamic risk assessment model and train the initial dynamic risk assessment model using sample data to obtain a target dynamic risk assessment model; A data extraction module is used to obtain the market data of the target enterprise in the target country in real time based on big data technology, and to perform data fusion processing on the market data to obtain fused market data; A feature extraction module, which is in communication with the data extraction module and is used to perform feature extraction processing on the fused market data through feature engineering to obtain market feature data; The security risk assessment module is respectively connected to the model acquisition module and the feature extraction module for inputting the market feature data into the target dynamic risk assessment model to obtain the security risk assessment result of the target enterprise in the target country.

8. An electronic device, characterized in that: include: a memory for storing computer program instructions; as well as, A processor is used to execute the computer program instructions to complete the operation of the overseas enterprise security risk assessment method as described in any one of claims 1 to 6.

9. A computer readable storage product, characterized in that: The computer-readable storage product stores instructions, and when the instructions are executed on a computer, the overseas enterprise security risk assessment method as described in any one of claims 1 to 6 is executed.

10. A computer program product comprising a computer program or instructions, characterized in that The computer program or the instructions, when executed by a computer, implements the overseas enterprise security risk assessment method as described in any one of claims 1 to 6.

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