Systems and methods for endpoint context-driven, dynamic workspaces are described. In some embodiments, an Information Handling System (IHS) of a workspace orchestration service, the IHS comprising a processor and a memory coupled to the processor, the memory having program instructions stored thereon that cause the IHS to: receive initial context information from a local management agent; produce a first workspace definition based upon the initial context information, where the local management agent is configured to instantiate a first workspace based upon the first workspace definition; receive updated context information from the local management agent; and in response to the updated context information being noncompliant with attributes of the first workspace definition, select a second workspace definition, where the updated context information complies with the attributes of the second workspace definition, and the local management agent is configured to instantiate a second workspace based upon the second workspace definition.

A storage device for performing an access authority control and an operating method thereof are disclosed. The storage device including processing circuitry configured to store a plurality of security information associated with the plurality of namespaces in response to a command from the host, each of the security information including virtual machine information associated with a corresponding one of the plurality of virtual machines and unique information associated with the corresponding virtual machine, the virtual machine information including an identifier for the corresponding virtual machine, and the unique information including unique information uniquely set for the corresponding virtual machine, extract at least first information by decoding a data access request received from the host device, and abort processing of the data access request based on the security information and the extracted at least one first information.

A virtual machine malware detection service caches contents that correspond to operating system registries. By caching the content of important registers, the malware detector is able to efficiently traverse virtual machine memory contents to identify important operating system properties. Examples of such operating system properties include a list of running processes. The malware detector replaces agent-based threat detection for compute endpoints. The malware detector detects cryptocurrency miners and malware by scanning guest virtual machine (VM) memories. The guest VM memory may be scanned according to the guest physical address. According to some examples, the memories of guest user processes may be scanned one by one, using the page table address for each guest process to efficiently locate its memory.

A system described herein may provide a technique for identifying and remediating potential threat vectors in a system, such as containers or applications in a virtual or cloud computing environment. Attributes of potential threat vectors may be identified, and the potential threat vectors may be scored based on the attributes. Values or scores of individual attributes may be determined through machine learning or other suitable techniques. Scores exceeding a threshold may indicate that a remedial measure should be performed. A remedial measure may be identified using machine learning or other suitable techniques. After the remedial measure is performed, the threat vector may be scored again, and a machine learning model may be refined based on whether the remedial measure was successful.

A formally verified trusted computing base with active security and policy enforcement is described. The formally verified trusted computing base includes a formally verified microkernel and multiple formally verified hyper-processes including a virtual machine monitor (VMM), virtual machine introspection (VMI), policy enforcers including an active security policy enforcer (ASPE), and a virtual switch. The active security and policy enforcement continuously monitors for semantic behavior detection or policy violations and enforces the policies at the virtualization layer. Further, policies can be attached to the network layer to provide granular control of the communication of the computing device.

Systems, methods, and interfaces for the management of virtual machine instances and other programmatically controlled networks are provided. The hosted virtual networks are configured in a manner such that a virtual machine manager of the virtual network may monitor activity such as user requests, network traffic, and the status and execution of various virtual machine instances to determine possible security assessments. Aspects of the virtual network may be assessed for vulnerabilities at varying levels of granularity and sophistication when a suspicious event or triggering activity is detected. Illustrative embodiments of the systems and methods may be implemented on a virtual network overlaid on one or more intermediate physical networks that are used as a substrate network.

A method and an apparatus are provided for deploying a security access control policy in the field of network security. The method, executed by a cloud management platform, includes: determining, according to an application creation instruction, an application template used for an application that needs to be created and a security profile corresponding to the application template; instructing a virtualization platform to create, according to the application template, a corresponding virtual machine for each application component in the application, and obtaining an IP address of each virtual machine created by the virtualization platform; generating a group of security access control policies corresponding to the application according to the IP address of each virtual machine and by using the security profile; and delivering the group of security access control policies to a corresponding firewall. Therefore, a security access control policy is automatically deployed.

An insider attack resistant system for providing cloud services integrity checking is disclosed. In particular, the system utilizes an automated integrity checking script and virtual machines to check the integrity of a service. The system may utilize the integrity checking script and virtual machines to execute a set of operations associated with the service so as to check the integrity of the service. When executing the set of operations, the system may only have access to the minimum level of access to peripherals that is required for each operation in the set of operations to be executed. After each operation is executed, the system may log each result for each operation, and analyze each result to determine if a failure exists for any of the operations. If a failure exists, the system may determine that a change in an expected system behavior associated with the service has occurred.

A secured virtual container is enabled to securely store personal data corresponding to a user, where such data is inaccessible to processes running outside the secured virtual container. The secured virtual container may also include an execution environment for a machine learning model where the model is securely stored and inaccessible. Personal data may be feature engineered and provided to the machine learning model for training purposes and/or to generate inference values corresponding to the user data. Inference values may thereafter be relayed by a broker application from the secured virtual container to applications external to the container. Applications may perform hyper-personalization operations based at least in part on received inference values. The broker application may enable external applications to subscribe to notifications regarding availability of inference values. The broker may also provide inference values in response to a query.

System and computer-implemented method for license management of virtual appliances in a computing system uses an activated virtual appliance in the computing system to forward an activation license from a license server on behalf of an unactivated virtual appliance in the computing system.