11 results about "Data policy" patented technology

The invention discloses a bridge engineering bidding and bidding quotation risk early warning and cost dynamic regulation and control system and method. The system comprises a data acquisition module, a data preprocessing module, a risk early warning module, a cost dynamic regulation and control module, a linkage execution module, a data storage and update module and a man-machine interaction module. On one hand, a multi-dimensional data acquisition system of bridge exclusive basic data, market dynamic data, policy and regulation data, bidding transaction data and construction pre-judgment data is covered, cooperative operation of static feature risk association factor extraction and dynamic time sequence risk change trend capture is realized, and the accuracy of risk assessment is improved; and meanwhile, a risk-cost closed-loop linkage mechanism is established, a cost-risk association database is constructed, and differential cost regulation and control strategies are formulated in combination with management and control targets of different stages of bidding and tendering, so that the technical problems of low regulation and control efficiency and poor adaptability are solved.

Methods, systems, and non-transitory computer readable storage media are disclosed for utilizing a decision tree to generate a recommended action in response to detecting a change in a data map representing a computing environment. The disclosed system determines relationships among data objects representing digital data, digital assets, and data processing activities and generates a data map according to the relationships. The disclosed system monitors the data map for changes and, responsive to determining a change in the data map, traverses a decision tree by executing one or more calls to one or more application programming interfaces according to the change in the data map and one or more data policies relevant to the changes. The disclosed systems utilize the decision tree and application programming interfaces to generate a recommended action for modifying digital assets, digital data, and / or data processing activities.

The present application relates to the technical field of data processing, and provides an industry chain and innovation chain data processing method and device and electronic equipment. The method comprises: obtaining target data, the target data comprising industry research report data, industry data, innovation data, policy data and appeal data; generating an industry chain and innovation chain fusion graph according to industry nodes and innovation nodes in the industry research report data; constructing a node corpus of each industry node and each innovation node in the industry data and the innovation data according to the industry chain and innovation chain fusion graph; determining the strength and weakness levels of each node in the node corpus, and generating an industry and innovation fusion development strategy for the nodes according to the strength and weakness levels of each node and the target data. The embodiment of the present application can realize the convergence, governance and intelligent analysis of industry and scientific and innovative data, reduce the workload of industry chain and innovation chain fusion analysis, and empower the development of industry chain and innovation chain fusion through technical means.

Methods, systems, and non-transitory computer readable storage media are disclosed for capturing, analyzing, and classifying network traffic data associated with a network communication between computing systems. For example, the disclosed systems execute operations to generate classifications of the content of the network traffic data utilizing a classification model. For example, the disclosed systems determine risk levels based on whether network traffic data transmitted within the transport layer of the network traffic data adheres to the requirements of the data policy. In certain aspects, the disclosed systems analyze captured network traffic data based a live network transmissions, logged network transmissions, an API specification, and / or API endpoints. In some aspects, the disclosed systems provide a classification analysis including risk levels associated with the network traffic data via a custom graphical user interface.

A system may include a network communication interface configured to receive network traffic, a processing unit, and a memory unit storing instructions for various engines that are executable by the processing unit. The various engines include a data policy enforcement engine that includes an intent detection engine configured to receive context data and content data relating to the network traffic and generate an intent indexer for the network traffic based on the context data and the content data. The intent indexer documents an operation request and a subject of the operation request that are connected to the network traffic. The various engines also include an intent policy control engine configured to administer aspects of the network traffic based on the intent indexer and the context data.

In an embodiment, a method of securing interaction with public large language models (LLMs) includes intercepting input data to a public LLM. The method also includes processing the input data based on a data policy applicable to the public LLM. The method also includes providing the processed input data to the public LLM. The method also includes intercepting output data from the public LLM that is responsive to the processed input data. The method also includes processing the output data based on the data policy applicable to the public LLM. The method also includes providing the processed output data to a requestor associated with the input data.

The invention discloses a consumer industry data set construction method and device and a medium. The method comprises the steps of obtaining multi-source data related to a consumer industry; the multi-source data comprises e-commerce platform public data, policy data, information data, public opinion data, macroeconomic data, industry data, consumption complaint data and consumption infrastructure data; establishing an association relationship among the data of the multi-source data on the basis of association elements; wherein the associated elements comprise a time dimension, a consumption subject and a consumption object; carrying out fusion processing on the multi-source data with the incidence relation; and based on the fused multi-source data, storing the fused multi-source data to a data warehouse by adopting a star model and / or a snowflake model. According to the method, an accurate consumer industry high-quality data set with clear data association is constructed.

Aspects discussed herein may relate to methods and techniques for scanning application programming interface requests and responses to more readily identify data issues. The system may aggregate one or more data requests and / or responses according to correlated data transactions between devices. The system may then analyze traffic associated with those requests to determine if the responses are consistent with data policies. If a response is out of line with such policies, a system for reporting and correction are described.

A data access device for enforcing a data policy, including an input unit, a processing unit, a data exposure enforcement unit, and an output unit, where the data access device is configured to run in a trusted execution environment; the input unit is configured to receive a first data including a request for handling data, and a target identification; the processing unit is configured to process the first data to attain a second data including the target identification and a data structure according to requirements of an application running in the data access device; the data exposure enforcement unit is configured to manipulate the second data according to a data exposure policy to attain a third data; and the output unit is configured to output the third data.

Methods, systems, and non-transitory computer readable storage media are disclosed for capturing, analyzing, and classifying network traffic data associated with a network communication between computing systems. For example, the disclosed systems execute operations to generate classifications of the content of the network traffic data utilizing a classification model. For example, the disclosed systems determine risk levels based on whether network traffic data transmitted within the transport layer of the network traffic data adheres to the requirements of the data policy. In certain aspects, the disclosed systems analyze captured network traffic data based a live network transmissions, logged network transmissions, an API specification, and / or API endpoints. In some aspects, the disclosed systems provide a classification analysis including risk levels associated with the network traffic data via a custom graphical user interface.

Data format drift protection for application programming interfaces is disclosed. Aspects discussed herein can involve methods and techniques for scanning application programming interface requests and responses to more easily identify data issues. A system can aggregate one or more data requests and / or responses according to related data transactions between devices. The system can then analyze traffic associated with those requests to determine whether responses comply with data policies. If responses do not comply with such policies, systems are described for reporting and correction.