Abstract: Users of an endpoint remediation system can be assigned to different roles, from which they can request exceptions, approve exceptions, and/or enable remediation on endpoint devices. The compliance scanning and enforcing process can be automated, while allowing entities to request and/or approve certain exceptions. Therefore, security compliance for customers can be actively managed to provide visibility to the endpoint device compliance state at any time.

Abstract: Users of an endpoint remediation system can be assigned to different roles, from which they can request exceptions, approve exceptions, and/or enable remediation on endpoint devices. The compliance scanning and enforcing process can be automated, while allowing entities to request and/or approve certain exceptions. Therefore, security compliance for customers can be actively managed to provide visibility to the endpoint device compliance state at any time.

Abstract: Users of an endpoint remediation system can be assigned to different roles, from which they can request exceptions, approve exceptions, and/or enable remediation on endpoint devices. The compliance scanning and enforcing process can be automated, while allowing entities to request and/or approve certain exceptions. Therefore, security compliance for customers can be actively managed to provide visibility to the endpoint device compliance state at any time.

Abstract: Controlling product production in multi-stage manufacturing process automatically generates by machine learning causal relationships between the processing conditions and the product quality based on product genealogy data and product quality data. Real time sensor data from sensors coupled to processing units in a manufacturing facility implementing the multi-stage manufacturing process are received, and control rules are instantiated based on the real time sensor data. An instantiated control rule firing causes an actuator to automatically set a processing variable to a set point specified in the control rule.

Abstract: Implementations of the present disclosure relate to methods, systems, and computer program products for security management. In one implementation, a computer-implemented method is disclosed. In the method, a message sequence associated with a user may be obtained from a list of historical messages that are logged in a data system. A candidate operation may be determined based on the obtained message sequence and an association model, where the association model indicates associations between message sequences and operations that are supported in the data system. A security level of the candidate operation may be evaluated based on at least one historical operation that has been performed by the user in the data system. In other implementations, a computer-implemented system and a computer program product for security management are disclosed.

Abstract: A method, system, and computer program product, include obtain values of one or more variables from a plurality of log instances of a first format of an application, extract one or more features for each of the variables based on the obtained values, and determine a type for each of the variables by feeding the extracted features to a classifier trained by a plurality of log instances of a second format of the application.

Abstract: Controlling product production in multi-stage manufacturing process automatically generates by machine learning causal relationships between the processing conditions and the product quality based on product genealogy data and product quality data. Real time sensor data from sensors coupled to processing units in a manufacturing facility implementing the multi-stage manufacturing process are received, and control rules are instantiated based on the real time sensor data. An instantiated control rule firing causes an actuator to automatically set a processing variable to a set point specified in the control rule.

Abstract: A computer-implemented method for data leakage protection is disclosed. A monitoring template corresponding to the cloud application is selected based upon communication between a user and a cloud application and from a plurality of monitoring templates. A monitor is generated using the selected monitoring template. Identifying information of content shared between the user and the cloud application is obtained using the generated monitor. Data about the shared content for security analysis is obtained according to the identifying information of the shared content.

Abstract: A computer-implemented method for data leakage protection is disclosed. A monitoring template corresponding to the cloud application is selected based upon communication between a user and a cloud application and from a plurality of monitoring templates. A monitor is generated using the selected monitoring template. Identifying information of content shared between the user and the cloud application is obtained using the generated monitor. Data about the shared content for security analysis is obtained according to the identifying information of the shared content.

Abstract: Controlling product production in multi-stage manufacturing process automatically generates by machine learning causal relationships between the processing conditions and the product quality based on product genealogy data and product quality data. Real time sensor data from sensors coupled to processing units in a manufacturing facility implementing the multi-stage manufacturing process are received, and control rules are instantiated based on the real time sensor data. An instantiated control rule firing causes an actuator to automatically set a processing variable to a set point specified in the control rule.

Abstract: Controlling product production in multi-stage manufacturing process automatically generates by machine learning causal relationships between the processing conditions and the product quality based on product genealogy data and product quality data. Real time sensor data from sensors coupled to processing units in a manufacturing facility implementing the multi-stage manufacturing process are received, and control rules are instantiated based on the real time sensor data. An instantiated control rule firing causes an actuator to automatically set a processing variable to a set point specified in the control rule.

Abstract: Implementations of the present disclosure relate to methods, systems, and computer program products for security management. In one implementation, a computer-implemented method is disclosed. In the method, a message sequence associated with a user may be obtained from a list of historical messages that are logged in a data system. A candidate operation may be determined based on the obtained message sequence and an association model, where the association model indicates associations between message sequences and operations that are supported in the data system. A security level of the candidate operation may be evaluated based on at least one historical operation that has been performed by the user in the data system. In other implementations, a computer-implemented system and a computer program product for security management are disclosed.

Abstract: Users of an endpoint remediation system can be assigned to different roles, from which they can request exceptions, approve exceptions, and/or enable remediation on endpoint devices. The compliance scanning and enforcing process can be automated, while allowing entities to request and/or approve certain exceptions. Therefore, security compliance for customers can be actively managed to provide visibility to the endpoint device compliance state at any time.

Abstract: Users of an endpoint remediation system can be assigned to different roles, from which they can request exceptions, approve exceptions, and/or enable remediation on endpoint devices. The compliance scanning and enforcing process can be automated, while allowing entities to request and/or approve certain exceptions. Therefore, security compliance for customers can be actively managed to provide visibility to the endpoint device compliance state at any time.

Abstract: Controlling product production in multi-stage manufacturing process automatically generates by machine learning causal relationships between the processing conditions and the product quality based on product genealogy data and product quality data. Real time sensor data from sensors coupled to processing units in a manufacturing facility implementing the multi-stage manufacturing process are received, and control rules are instantiated based on the real time sensor data. An instantiated control rule firing causes an actuator to automatically set a processing variable to a set point specified in the control rule.

Abstract: Controlling product production in multi-stage manufacturing process automatically generates by machine learning causal relationships between the processing conditions and the product quality based on product genealogy data and product quality data. Real time sensor data from sensors coupled to processing units in a manufacturing facility implementing the multi-stage manufacturing process are received, and control rules are instantiated based on the real time sensor data. An instantiated control rule firing causes an actuator to automatically set a processing variable to a set point specified in the control rule.

Abstract: A method, system, and computer program product, include obtain values of one or more variables from a plurality of log instances of a first format of an application, extract one or more features for each of the variables based on the obtained values, and determine a type for each of the variables by feeding the extracted features to a classifier trained by a plurality of log instances of a second format of the application.

Abstract: A computer-implemented method for data leakage protection is disclosed. A monitoring template corresponding to the cloud application is selected based upon communication between a user and a cloud application and from a plurality of monitoring templates. A monitor is generated using the selected monitoring template. Identifying information of content shared between the user and the cloud application is obtained using the generated monitor. Data about the shared content for security analysis is obtained according to the identifying information of the shared content.

Abstract: A computer-implemented method for data leakage protection is disclosed. A monitoring template corresponding to the cloud application is selected based upon communication between a user and a cloud application and from a plurality of monitoring templates. A monitor is generated using the selected monitoring template. Identifying information of content shared between the user and the cloud application is obtained using the generated monitor. Data about the shared content for security analysis is obtained according to the identifying information of the shared content.

Abstract: The present disclosure provides a fabrication method for forming a conductive plug structure, including: providing a semiconductor substrate; forming a contact hole in the semiconductor substrate; forming an insulating layer on the semiconductor substrate and a bottom and sidewalls of the contact hole; and forming a metal conductive layer on the insulating layer to fill up the contact hole, the metal conductive layer including two or more stacking metal conductive unit layers, each metal conductive unit layer having a metal nucleation layer and a metal bulk layer on the metal nucleation layer.