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: Computer implemented reconstruction of compliance mapping due to an update in a regulation in the compliance mapping by a computing device includes comparing a first version of a regulation in the compliance mapping to a second, updated version of the first regulation. A change in the second version with respect to the first version is identified. The change may be an added control description, a deleted control description, or an updated control description. Upon determining that the change is an updated control description, the updated control description is analyzed to determine a type of update. The mapping of the regulation is reconstructed based on the change and, if the change is an updated control description, the type of update, using at least one of natural language processing and/or machine learning. The risk of the reconstructed mapping is assessed, and a service owner is notified about the risk of the changes.

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: A computer system, program code, and a method are provided to leverage an AI model with respect to a target specification for a target standard. The AI model is configured to identify at least one candidate control associated with a corresponding standard. A map is subject to traversal to identify the candidate control in the map. Source and destination controls of the map are leveraged to identify at least one mapped control associated with the target standard. The AI model is selectively subject to training with the mapped control and the target standard.

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: Systems, computer-implemented methods, and computer program products that can facilitate compliance process risk assessment are provided. According to an embodiment, a system can comprise a memory that stores computer executable components and a processor that executes the computer executable components stored in the memory. The computer executable components can comprise a metric assignment component that assigns one or more risk assessment metrics based on vulnerability data of a compliance process. The computer executable components can further comprise a risk assignment component that assigns a risk score of the compliance process based on the one or more risk assessment metrics.

Abstract: Systems, computer-implemented methods, and computer program products that facilitate vulnerability and attack technique association are provided. According to an embodiment, a system can comprise a memory that stores computer executable components and a processor that executes the computer executable components stored in the memory. The computer executable components can comprise a map component that defines mappings between vulnerability data representing a vulnerability of a computing resource and attack data representing at least one attack technique. The computer executable components can further comprise an estimation component that analyzes the mappings to estimate a probability that the vulnerability will be exploited to attack the computing resource.

Abstract: Systems and techniques that facilitate automated health-check risk assessment of computing assets are provided. In various embodiments, a system can comprise a baseline component that can generate a baseline health-check risk score that corresponds to non-compliance of a computing asset with a stipulated control. In various aspects, the system can further comprise an adjustment component that can adjust the baseline health-check risk score based on a weakness factor of the stipulated control. In some cases, the weakness factor can be based on a magnitude by which a state of the computing asset deviates from the stipulated control. In various embodiments, the adjustment component can further adjust the baseline health-check risk score based on an environmental factor of the computing asset. In various cases, the environmental factor can be based on security mechanisms or security protocols associated with the computing asset.

Abstract: Streamlining compliance reporting and remediation through clustering compliance deviations by receiving inspection scan compliance deviation report data, analyzing the inspection scan compliance deviation report data, in response to the analysis, creating normalized deviation report documents, comparing the normalized deviation report documents, in response to the comparisons, clustering the normalized deviation report documents, creating a common cluster deviation profile comprising clustered deviation reports, and generating a summary system asset compliance report comprising the common cluster deviation profile.

Abstract: A software information analysis system that assesses the operational risks of using a particular set of software is provided. The system identifies one or more software entities used by one or more applications operating in an environment. The system collects information relevant to the identified one or more software entities. The system extracts opinions regarding the identified one or more software entities in the collected information. The system calculates an operational risk metric for the environment based on sentiments expressed in the extracted opinions. Each extracted opinion is weighted based on a personal identity associated with the extracted opinion.

Abstract: Computer implemented reconstruction of compliance mapping due to an update in a regulation in the compliance mapping by a computing device includes comparing a first version of a regulation in the compliance mapping to a second, updated version of the first regulation. A change in the second version with respect to the first version is identified. The change may be an added control description, a deleted control description, or an updated control description. Upon determining that the change is an updated control description, the updated control description is analyzed to determine a type of update. The mapping of the regulation is reconstructed based on the change and, if the change is an updated control description, the type of update, using at least one of natural language processing and/or machine learning. The risk of the reconstructed mapping is assessed, and a service owner is notified about the risk of the changes.

Abstract: A method provides for controlling compliance remediation that includes performing compliance inspection runs by account nodes for multiple accounts. Inspection results of the inspection runs from each account node are aggregated by an account cognitive policy advisory (CPA) service. The inspection results from each account are aggregated. It is determined whether remediations are required by analyzing the inspection results combined with a current compliance mode of a server. Upon a determination that the current compliance mode of the server is a first mode, the account CPA service determines whether a policy fingerprint has changed. Upon a change to the policy fingerprint, compliance enforcement runs on the account nodes are temporarily suspended.

Abstract: Embodiments relate to an intelligent computer platform to utilize machine learning techniques to minimize compliance risk. Data, collected from a plurality of sources is subject to analysis and correlation to assess impact across data points. The assessment measures impact between at least two different compliance domains, facilitates understanding of cross-impact between compliance domains, and provides an estimation of compliance risk. A recommendation plan for one or more new compliance activities is created and dynamically subject to a machine learning reinforcement algorithm.

Abstract: Embodiments relate to an intelligent computer platform to utilize a micro-service architecture that supports secure connection and policy management for devices. The micro-services include managers to support establishment of a secure connection. The managers register devices in the architecture, and define security policies which are encoded as rules. The policies and corresponding rules are stored in a knowledge base operatively coupled to the architecture. The patterns of security policies are learned over time and used for recommending new rules or validating existing rules. The managers selectively validate one or more rules that correspond to a setting of a requesting device. The secure connection is established for a network level device determined to comply with one or more of the selectively validated rules.

Abstract: Streamlining compliance reporting and remediation through clustering compliance deviations by receiving inspection scan compliance deviation report data, analyzing the inspection scan compliance deviation report data, in response to the analysis, creating normalized deviation report documents, comparing the normalized deviation report documents, in response to the comparisons, clustering the normalized deviation report documents, creating a common cluster deviation profile comprising clustered deviation reports, and generating a summary system asset compliance report comprising the common cluster deviation profile.

Abstract: An assessment component that facilitates assessment and enforcement of policies within a computer environment can comprise a compliance component that determines whether a policy, that defines one or more requirements associated with usage of one or more enterprise components of an enterprise computing system, is in compliance with a plurality of standardized policies that govern operation of the one or more enterprise components of the enterprise computing system. The assessment component can also comprise a policy optimization component that determines one or more changes to the policy that achieve the compliance with the plurality of standardized polices based on a determination that the policy complies with a first standardized policy of the plurality of standardized policies and fails to comply with a second standardized policy of the plurality of standardized policies.

Abstract: An assessment component that facilitates assessment and enforcement of policies within a computer environment can comprise a compliance component that determines whether a policy, that defines one or more requirements associated with usage of one or more enterprise components of an enterprise computing system, is in compliance with a plurality of standardized policies that govern operation of the one or more enterprise components of the enterprise computing system. The assessment component can also comprise a policy optimization component that determines one or more changes to the policy that achieve the compliance with the plurality of standardized polices based on a determination that the policy complies with a first standardized policy of the plurality of standardized policies and fails to comply with a second standardized policy of the plurality of standardized policies.

Abstract: Systems, computer-implemented methods, and computer program products that can facilitate compliance process risk assessment are provided. According to an embodiment, a system can comprise a memory that stores computer executable components and a processor that executes the computer executable components stored in the memory. The computer executable components can comprise a metric assignment component that assigns one or more risk assessment metrics based on vulnerability data of a compliance process. The computer executable components can further comprise a risk assignment component that assigns a risk score of the compliance process based on the one or more risk assessment metrics.

Abstract: Systems, computer-implemented methods, and computer program products that can facilitate compliance policy management and scheduling are provided. According to an embodiment, a system can comprise a memory that stores computer executable components and a processor that executes the computer executable components stored in the memory. The computer executable components can comprise a policy analyzer component that identifies one or more dependency relationships between a first compliance policy and one or more second compliance policies. The computer executable components can further comprise a scheduler component that generates a policy execution plan based on the one or more dependency relationships.

Abstract: A method provides for controlling compliance remediation that includes performing compliance inspection runs by account nodes for multiple accounts. Inspection results of the inspection runs from each account node are aggregated by an account cognitive policy advisory (CPA) service. The inspection results from each account are aggregated. It is determined whether remediations are required by analyzing the inspection results combined with a current compliance mode of a server. Upon a determination that the current compliance mode of the server is a first mode, the account CPA service determines whether a policy fingerprint has changed. Upon a change to the policy fingerprint, compliance enforcement runs on the account nodes are temporarily suspended.