Abstract: An apparatus and method for intelligent processing of cyber security risk assessment data are provided. The apparatus includes a processor and a memory communicatively coupled to the at least a processor. The memory contains instructions configuring the at least a processor to receive a cyber profile associated with a digital environment. The processor is also configured to generate a cyber profile summary of the cyber profile data and generate a user interface data structure including the cyber profile summary and the cyber profile. A graphical user interface (GUI) is communicatively connected to the processor and the GUI is configured to receive the user interface data structure including the cyber profile summary and the cyber profile and display the cyber profile summary on a first portion of the GUI.

Abstract: An apparatus and method for updating risk determination based on real-time changes in cyber security risk are provided. The apparatus includes a processor and a memory communicatively coupled to the at least a processor. The memory contains instructions configuring the at least a processor to receive a cyber profile associated with a digital environment. Further, the processor is configured to receive a risk profile associated with the cyber profile. In addition, the processor is further configured to determine at least one risk evaluation component and monitor for a digital environment modification. Furthermore, the processor is configured to detect the digital environment modification and update the risk evaluation component as a function of the digital environment modification.

Abstract: An apparatus and method for providing cyber security defense in digital environments are provided. The apparatus includes a processor and a memory communicatively coupled to the at least a processor. The memory contains instructions configuring the at least a processor to receive a cyber profile associated with a digital environment. The processor is also configured to receive a risk profile associated with the cyber profile and analyze the cyber profile and risk profile. In addition, the processor is configured to generate a user interface data structure configured to display the determined risk score. A graphical user interface (GUI) is communicatively connected to the processor and the GUI is configured to receive the user interface data structure for the cyber-attack defense assessment and display the cyber-attack defense assessment.

Abstract: An apparatus and method for analyzing organizational digital security are described. The apparatus includes at least a processor and a memory communicatively coupled to the at least a processor. The memory includes instructions configuring the at least a processor to receive organizational data associated with a plurality of organizational resources for an organization, analyze the organizational data, determine an integrity indicator based on the surveying of the organizational data, and generate a continuity indicator as a function of the integrity indicator.

Abstract: An apparatus and method for determining a recommended cyber-attack security action are provided. The apparatus includes a processor and a memory communicatively coupled to the at least a processor. The memory contains instructions configuring the at least a processor to receive a cyber profile associated with a digital environment. The processor is further configured to receive a risk profile associated with the cyber profile and determine at least one security action based on the risk profile. In addition, the processor is configured to generating a user interface data structure configured to display the determined at least one security action.

Abstract: An apparatus and method for assessing security risk for digital resources are described. The apparatus includes at least a processor and a memory communicatively coupled to the at least a processor. The memory includes instructions configuring the at least a processor to receive digital resource data about a plurality of digital resources in a digital environment, calculate a resource significance score for each digital resource based on the digital resource data, determine at least one critical resource as a function of the resource significance score, and analyze a digital security risk associated with the at least one critical resource.

Abstract: An apparatus and method for updating cyber security support based on real time changes are provided. The apparatus includes a processor and a memory communicatively coupled to the at least a processor. The memory contains instructions configuring the at least a processor to receive a cyber profile associated with a digital environment and receive a risk profile associated with the cyber profile. Further, the memory contains instructions configuring the at least a processor analyze the cyber profile and the risk profile and calculate a cyber-attack safeguard quantifier for a cyber-attack safeguard based on the analysis of the cyber profile and risk profile. Additionally, the memory contains instructions configuring the at least a processor monitor for a digital environment variation and update the cyber-attack safeguard quantifier.

Abstract: An apparatus and method for determining a risk associated with a cyber-attack are provided. The apparatus includes a processor and a memory communicatively coupled to the at least a processor. The memory contains instructions configuring the at least a processor to receive a cyber profile associated with a digital environment. The processor is further configured to receive risk assessment category data associated with the cyber profile and determine a digital environment risk record based on the risk assessment category data. In addition, the processor is configured to generate a user interface data structure configured to display the determined risk record.

Abstract: Technologies for unsupervised data classification include a computing device that generates a high dimensional profile for each column of a data store that is indicative of topological features of the column. The computing device also analyzes each column using multiple predetermined profiling rules and generates an initial classification for the columns based on profiling rule results. The initial classification may be applied to related columns based on clustering of the columns using the high dimensional profile. The computing device may train a machine learning model based on the initial classification and the high dimensional profile. Input features for training may include the profiling rule results and the high dimensional profile. Classifications may be provided to client devices via a predetermined interface. Other embodiments are described and claimed.

Abstract: An apparatus and method for intelligent processing of cyber security risk assessment data are provided. The apparatus includes a processor and a memory communicatively coupled to the at least a processor. The memory contains instructions configuring the at least a processor to receive a cyber profile associated with a digital environment. The processor is also configured to generate a cyber profile summary of the cyber profile data and generate a user interface data structure including the cyber profile summary and the cyber profile. A graphical user interface (GUI) is communicatively connected to the processor and the GUI is configured to receive the user interface data structure including the cyber profile summary and the cyber profile and display the cyber profile summary on a first portion of the GUI.

Abstract: An apparatus and method for determining a recommended cyber-attack risk remediation action are provided. The apparatus includes a processor and a memory communicatively coupled to the at least a processor. The memory contains instructions configuring the at least a processor to receive a cyber profile associated with a digital environment. The processor is further configured to receive a risk profile associated with the cyber profile and determine at least one recommended risk remediation action based on the risk profile. In addition, the processor is configured to generating a user interface data structure configured to display the determined at least one recommended risk remediation action.

Abstract: Technologies for unsupervised data classification include a computing device that generates a high dimensional profile for each column of a data store that is indicative of topological features of the column. The computing device also analyzes each column using multiple predetermined profiling rules and generates an initial classification for the columns based on profiling rule results. The initial classification may be applied to related columns based on clustering of the columns using the high dimensional profile. The computing device may train a machine learning model based on the initial classification and the high dimensional profile. Input features for training may include the profiling rule results and the high dimensional profile. Classifications may be provided to client devices via a predetermined interface. Other embodiments are described and claimed.