Abstract: An architecture of a multi-cloud inspector for any computing device type is provided. According to an embodiment, a method for implementing multi-cloud inspection includes accessing an object list, determining which objects to inspect, determining which inspectors to use, creating object copies, providing and running inspectors for each object copy, receiving inspection report summaries, generating an enriched dataset, and adding the enriched dataset to a security graph database.

Abstract: A system and method for inspecting managed workloads in a cloud computing environment for cybersecurity threats improves inspection of managed workload service repositories, by only inspecting bases of managed workload deployed in the cloud computing environment. The method includes discovering a managed workload deployed in a cloud computing environment; determining an identifier of the managed workload, wherein the identifier includes an indicator to a base repository in which a base is stored, and wherein the managed workload is currently deployed in the cloud computing environment, the base repository further storing a plurality of bases, wherein a portion of the plurality of bases do not correspond to a deployed workload; accessing the base repository to pull the base; and inspecting the base of the deployed managed workload for a cybersecurity threat.

Abstract: A system and method for detection of cyber threats embedded in cloud applications are provided. The method includes inspecting a plurality of computing resources to detect code of at least one cloud application executed in a cloud environment; filtering the detected code to remove a portion of the code that is non-unique for the at least one cloud application; performing static analysis on the unique portion of the code to identify a mismatch between the unique portions of the code and its verified version stored in a code repository; and comparing each identified mismatch with at least a vulnerability tool, wherein a mismatch is a potential cyber threat embedded in the code.

Abstract: A system and method for inspecting encrypted disks for a cybersecurity object using a custom key are disclosed. The method includes detecting an encrypted disk in a cloud computing environment, the cloud computing environment including a security policy service; authorizing a key policy on the security policy service for a custom key of an inspector account, wherein the key policy is a policy authorized to decrypt the encrypted disk; generating a second encrypted disk based on the encrypted disk; inspecting the second encrypted disk for a cybersecurity object with the custom key; and releasing a resource allocated to the second encrypted disk in response to completing the inspection.

Abstract: A method for scalable vulnerability detection is provided. The method includes selecting at least a workload of a plurality of workloads deployed in a first cloud environment for inspection, wherein the workload includes a first volume; generating in a remote cluster an inspection node, the inspection node including at least a first disk, wherein the remote cluster provisions inspection nodes in response to demand for inspection nodes; generating a persistent volume (PV) on which the at least a first disk is mounted, wherein the at least a first disk is generated from a snapshot of the first volume; and generating a persistent volume claim (PVC) of the PV for an inspector workload, wherein the inspector workload is configured to inspect the PV for an object, and wherein inspector workloads are provisioned in response to demand for inspector workloads.

Abstract: A system and method for inspecting encrypted disks for a cybersecurity object using a custom key are disclosed. The method includes detecting an encrypted disk in a cloud computing environment, the cloud computing environment including a security policy service; authorizing a key policy on the security policy service for a custom key of an inspector account, wherein the key policy is a policy authorized to decrypt the encrypted disk; generating a second encrypted disk based on the encrypted disk; inspecting the second encrypted disk for a cybersecurity object with the custom key; and releasing a resource allocated to the second encrypted disk in response to completing the inspection.

Abstract: A system and method for inspecting a running container for a cybersecurity object in a cloud computing environment is disclosed. The method includes: generating a clone of a disk, wherein the disk is deployed in a cloud computing environment; detecting a software container on the generated clone of the disk; and inspecting the software container for a cybersecurity object, in response to determining that the container is a running container.

Abstract: A system and method for inspecting a running container for a cybersecurity object in a cloud computing environment is disclosed. The method includes: generating a clone of a disk, wherein the disk is deployed in a cloud computing environment; detecting a software container on the generated clone of the disk; and inspecting the software container for a cybersecurity object, in response to determining that the container is a running container.

Abstract: A system and method for detecting a permission escalation event in a computing environment is disclosed. The method includes: generating a cloned disk based on an original disk of a resource deployed in a computing environment; detecting an identifier of a first principal on the cloned disk; detecting a second principal in the computing environment, the first principal authorized to assume the first principal; storing a representation of the computing environment in a security database, including: a first principal node representing the first principal, and a second principal node representing the second principal, further associated with a permission; querying the representation to determine a permission of the first principal; determining that the second principal includes a permission which the first principal does not include based on a result of querying the representation; and generating a permission escalation event.

Abstract: A system and method for inspecting managed workloads in a cloud computing environment for cybersecurity threats improves inspection of managed workload service repositories, by only inspecting bases of managed workload deployed in the cloud computing environment. The method includes discovering a managed workload deployed in a cloud computing environment; determining an identifier of the managed workload, wherein the identifier includes an indicator to a base repository in which a base is stored, and wherein the managed workload is currently deployed in the cloud computing environment, the base repository further storing a plurality of bases, wherein a portion of the plurality of bases do not correspond to a deployed workload; accessing the base repository to pull the base; and inspecting the base of the deployed managed workload for a cybersecurity threat.

Abstract: An architecture of a multi-cloud inspector for any computing device type is provided. According to an embodiment, a method for implementing multi-cloud inspection includes accessing an object list, determining which objects to inspect, determining which inspectors to use, creating object copies, providing and running inspectors for each object copy, receiving inspection report summaries, generating an enriched dataset, and adding the enriched dataset to a security graph database.

Abstract: A system and method for detecting cybersecurity risk on a resource in a computing environment utilizes static analysis of a cloned resource and runtime data from the live resource. The method includes: configuring a resource deployed in a computing environment to deploy thereon a sensor, the sensor configured to detect runtime data; detecting runtime data from the sensor of the resource; generating an inspectable disk based on an original disk of the resource; initiating inspection based on the detected runtime data for a cybersecurity object on the inspectable disk; detecting the cybersecurity object on an inspectable disk; and initiating a mitigation action on the resource.

Abstract: A method for scalable vulnerability detection is provided. The method includes selecting at least a workload of a plurality of workloads deployed in a first cloud environment for inspection, wherein the workload includes a first volume; generating in a remote cluster an inspection node, the inspection node including at least a first disk, wherein the remote cluster provisions inspection nodes in response to demand for inspection nodes; generating a persistent volume (PV) on which the at least a first disk is mounted, wherein the at least a first disk is generated from a snapshot of the first volume; and generating a persistent volume claim (PVC) of the PV for an inspector workload, wherein the inspector workload is configured to inspect the PV for an object, and wherein inspector workloads are provisioned in response to demand for inspector workloads.

Abstract: A method for scalable vulnerability detection is provided. The method includes selecting at least a workload of a plurality of workloads deployed in a first cloud environment for inspection, wherein the workload includes a first volume; generating in a remote cluster an inspection node, the inspection node including at least a first disk, wherein the remote cluster provisions inspection nodes in response to demand for inspection nodes; generating a persistent volume (PV) on which the at least a first disk is mounted, wherein the at least a first disk is generated from a snapshot of the first volume; and generating a persistent volume claim (PVC) of the PV for an inspector workload, wherein the inspector workload is configured to inspect the PV for an object, and wherein inspector workloads are provisioned in response to demand for inspector workloads.

Abstract: An architecture of a multi-cloud inspector for any computing device type is provided. According to an embodiment, a method for implementing multi-cloud inspection includes accessing an object list, determining which objects to inspect, determining which inspectors to use, creating object copies, providing and running inspectors for each object copy, receiving inspection report summaries, generating an enriched dataset, and adding the enriched dataset to a security graph database.

Abstract: A system and method for applying cybersecurity policies across multiple computing environments is presented.

Abstract: A system and method for technology stack discovery by performing active inspection of a cloud computing environment utilizing disk cloning is described. The method includes: generating an inspectable disk based on an original disk of a reachable resource, wherein the reachable resource is a cloud object deployed in the cloud computing environment, and accessible from a network which is external to the cloud computing environment; detecting a cybersecurity object on the inspectable disk, the cybersecurity object indicating a cybersecurity issue; selecting a network path including a network protocol to access the reachable resource; and actively inspecting the network path to detect the cybersecurity issue.

Abstract: A method for scalable vulnerability detection is provided. The method includes selecting at least a workload of a plurality of workloads deployed in a first cloud environment for inspection, wherein the workload includes a first volume; generating in a remote cluster an inspection node, the inspection node including at least a first disk, wherein the remote cluster provisions inspection nodes in response to demand for inspection nodes; generating a persistent volume (PV) on which the at least a first disk is mounted, wherein the at least a first disk is generated from a snapshot of the first volume; and generating a persistent volume claim (PVC) of the PV for an inspector workload, wherein the inspector workload is configured to inspect the PV for an object, and wherein inspector workloads are provisioned in response to demand for inspector workloads.

Abstract: A system and method for detecting a permission escalation event in a computing environment is disclosed. The method includes: generating a cloned disk based on an original disk of a resource deployed in a computing environment; detecting an identifier of a first principal on the cloned disk; detecting a second principal in the computing environment, the first principal authorized to assume the first principal; storing a representation of the computing environment in a security database, including: a first principal node representing the first principal, and a second principal node representing the second principal, further associated with a permission; querying the representation to determine a permission of the first principal; determining that the second principal includes a permission which the first principal does not include based on a result of querying the representation; and generating a permission escalation event.

Abstract: A system and method for agentless detection of sensitive data in a cloud computing environment is disclosed. The method includes: generating an inspectable disk from a clone of an original disk in a cloud computing environment; inspecting the inspectable disk for a cybersecurity object, the cybersecurity object indicating a sensitive data, the disk deployed in a cloud computing environment; extracting a data schema from the cybersecurity object, in response to detecting the cybersecurity object on the disk; generating a classification of the data schema; detecting in the disk a plurality of data files, each data file including the classified data schema; determining that the data schema corresponds to sensitive data based on the generated classification; generating in a security database: a representation of the data schema, and a representation of each data file; and rendering a visual representation of the cloud computing environment including a representation of the data schema.