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 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.

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 agentless detection of sensitive data in a cloud computing environment. The method includes detecting a first data object including a data schema and a content in a cloud computing environment; detecting a second data object, having the data schema of the first data object; generating in a security graph: a first data object node representing the first data object, a second data object node representing the second data object, and a data schema node representing the data schema; storing a classification based on the content in the security graph, wherein the content is classified as sensitive data or non-sensitive data; and rendering an output based on the classification and the data schema node, in lieu of the first data object node and the second data object node, in response to receiving a query to detect a node representing a data object classified as sensitive data.

Abstract: A system and method for agentless detection of sensitive data in a cloud computing environment includes generating a snapshot from a managed database service, the snapshot including a plurality of data files stored in a bucket on a cloud computing environment; detecting a data object in the plurality of data files, the data object including a data schema and a content; classifying the first data object based on the content, wherein the content is classified as sensitive data or non-sensitive data; and generating a node on a security graph stored in a graph database to represent the first data object and the classification thereof, wherein the security graph further includes a representation of the cloud computing environment.

Abstract: A system and method for agentless detection of sensitive data in a cloud computing environment includes generating a snapshot from a managed database service, the snapshot including a plurality of data files stored in a bucket on a cloud computing environment; deploying a virtual instance based on the snapshot to generate a database, the database including a database management system (DBMS); querying the DBMS to fetch data from the database; classifying the fetched data, wherein the fetched data is classified as sensitive data or non-sensitive data; and generating a node on a security graph stored in a graph database to represent the fetched data and the classification thereof, wherein the security graph includes a representation of the cloud computing environment.

Abstract: A system and method for performing active inspection of a cloud computing environment includes selecting a reachable resource, having a network path to access the 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; determining a network protocol for the network path; and actively inspecting the network path to determine if an application utilizing the network protocol is deployed on the reachable resource as part of a technology stack of the reachable resource.

Abstract: A system and method for detecting an application path utilizing active inspection of a cloud computing environment, includes selecting a reachable resource having at least one network path to access the 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; selecting a second resource having a second network path based on the network path of the reachable resource; and actively inspecting the second network path to determine if the second resource is accessible through the second network path from the reachable resource.

Abstract: A system and method for performing active inspection of a cloud computing environment includes receiving at least one network path to access a first resource, wherein the first resource is a cloud object deployed in the cloud computing environment, and potentially accessible from a network which is external to the cloud computing environment; and actively inspecting the at least one network path to determine if the first resource is accessible through the at least one network path from a network external to the cloud computing environment.

Abstract: A system and method for performing active inspection of vulnerability exploitation in a cloud computing environment. The method includes receiving at least one network path to access a first resource, wherein the first resource is a cloud object is deployed in the cloud computing environment and having a known vulnerability, wherein the first resource is potentially accessible from a network which is external to the cloud computing environment; actively inspecting the at least one network path to determine if the first resource is accessible through the at least one network path from a network external to the cloud computing environment; and triggering the known vulnerability to determine if the first resource can be exploited with the known vulnerability, in response to determining that the first resource is accessible through the external network.

Abstract: A system and method for performing authorization based active inspection of network paths for a resource, deployed in a cloud computing environment, includes receiving at least one network path to access the resource, wherein the resource is a cloud object deployed in the cloud computing environment, and potentially accessible from a network which is external to the cloud computing environment; and actively inspecting the at least one network path to determine if the resource is accessible through the at least one network path from a network external to the cloud computing environment and requires access authorization.

Abstract: A system and method for prioritizing alerts and mitigation actions against cyber threats in a cloud computing environment. The method includes detecting an alert based on a cloud entity deployed in a cloud computing environment, wherein the alert including an identifier of the cloud entity and a severity indicator, and wherein the cloud computing environment is represented in a security graph; generating a severity index for the received alert based on the identifier of the cloud entity and the severity indicator; and initiating a mitigation action based on the severity index.

Abstract: A system and method for generating a contextual cloud risk assessment of a cloud computing environment. The method includes accessing a plurality of cloud assessment policies, wherein a policy including a query executable on a security graph; applying the plurality of cloud assessment policies to the representation of the first cloud computing environment; generating a risk assessment report based on an output generated by applying a policy of the plurality of cloud assessment polices; and initiating a mitigation action based on a cybersecurity risk from the risk assessment report.

Abstract: A system and method detects a vulnerable code object in configuration code for deploying instances in a cloud computing environment. The method includes: accessing a configuration code, including a plurality of code objects, where a code object of the plurality of code objects corresponds to a deployed principal; detecting in a log a plurality of access events, each access event associated with a first principal deployed in the cloud computing environment based on a first code object of the plurality of code objects; determining a first set of permissions associated with the first code object. The method also includes determining a second set of permissions based on the plurality of access events. The method also includes detecting a difference between the second set of permissions and the first set of permissions; and generating an updated code object based on the first code object and the detected difference.

Abstract: A system and method for detecting a vulnerable workload deployed in a cloud environment based on a code object of an infrastructure as code file utilizes a security graph. The method includes: extracting the code object from a state file, which includes a mapping between the code object to a first deployed workload and a second deployed workload; generating a node representing the code object in the security graph; generating a connection in the security graph between the node representing the code object and a node representing the first workload and a connection between the node representing the code object and a node representing the second workload; and determining that the second workload is a vulnerable workload, in response to detecting that the first workload node is associated with a cybersecurity threat, and that the nodes representing the workloads are each connected to the node representing the code object.