Abstract: A system and method for inspecting live virtual instance in a cloud computing environment for cybersecurity threats utilizes a disk cloning technique. The method includes selecting a live virtual instance in a cloud computing environment, wherein the live virtual instance includes a disk having a disk descriptor with an address in a cloud storage system. An instruction to clone the disk of the live virtual instance is generated, and when executed causes generation of a cloned disk descriptor, the cloned disk descriptor having a data field including the address of the disk of the live virtual instance. The cloned disk is inspected for a cybersecurity threat and the cloned disk is released in response to completing the inspection of the disk.

Abstract: A system and method for applying a policy on a network path is disclosed. The method includes: selecting a reachable resource having a network path to access the reachable resource, wherein the reachable resource is a cloud object deployed in a cloud computing environment, having access to an external network which is external to the cloud computing environment; actively inspecting the network path to determine if the network path of the reachable resource is accessible from the external network; applying a policy on the accessible network path, wherein the policy includes a conditional rule; initiating a mitigation action, in response to determining that the conditional rule is not met; and applying the policy on another network path, in response to determining that the conditional rule is met.

Abstract: A system and method for detecting potential lateral movement in a cloud computing environment includes detecting a private encryption key and a certificate, each of which further include a hash value of a respective public key, wherein the certificate is stored on a first resource deployed in the cloud computing environment; generating in a security graph: a private key node, a certificate node, and a resource node connected to the certificate node, wherein the security graph is a representation of the cloud computing environment; generating a connection in the security graph between the private key node and the certificate node, in response to determining a match between the hash values of the public key of the private key and the public key of the certificate; and determining that the first resource node is potentially compromised, in response to receiving an indication that an element of the public key is compromised.

Abstract: A system and method for detecting potential lateral movement using cloud keys in a cloud computing environment includes determining a first node in a security graph is a compromised node, wherein the security graph represents cloud entities of the cloud computing environment; detecting a cloud key node connected to the first node, wherein the cloud key node represents a cloud key of the cloud computing environment; and generating a potential lateral movement path, including the first node, and a second node, wherein the second node is connected to the cloud key node.

Abstract: A method and system for providing textual insights on objects deployed in a cloud environment are provided. The method includes collecting object data on objects deployed in the cloud environment, wherein objects are deployed and operable at different layers of the cloud environment; identifying objects deployed in the cloud environment; constructing a visual representation of the cloud environment, including the identified objects and their relationships; and generating textual insights on the identified objects and their relationships using natural language processing.

Abstract: A system and method for detecting lateral movement based on a compromised cryptographic network protocol (CNP) key in a cloud computing environment includes inspecting a workload for a private CNP key, including metadata and a public CNP key hash; storing in a security graph: a private CNP key node representing the private CNP key, and a workload node representing the workload, wherein the security graph represents the cloud computing environment in which the workload is deployed; connecting in the security graph the private CNP key node to a public CNP key node in response to determining that the public CNP key hash of the private CNP key matches a public key hash associated with the public CNP key node; and generating a lateral movement path in response to determining that the private CNP key is compromised, the path including another workload node connected to the public CNP key.

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 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 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 detect a malware infection path in a compute environment. The method includes detecting a malware object on a first workload in a computing environment including a plurality of workloads, wherein the first workload is represented by a resource node on a security graph, the security graph including an endpoint node representing a resource which is accessible to a public network; generating a potential infection path between the resource node and the endpoint node including at least a second resource node connected to the resource node; inspecting a second workload of the plurality of workloads represented by the second resource node; determining that the potential infection path is a confirmed infection path, in response to detecting the malware on the second workload; and determining that the potential infection path is not an infection path, in response to detecting that the second workload does not include the malware.

Abstract: A method and system for modeling a cloud environment as a security graph are provided. The method includes identifying security objects in the cloud environment; collecting object data of the identified security objects; constructing security graph based on collected object data of the identified security objects; determining relationships among the identified security objects, wherein the relationships are determined based on the collected object data of the identified security objects and using a static analysis process; updating the constructed security graph with the determined relationships among the identified security objects; and storing the constructed security graph in a graph database.

Abstract: A method and system for determining abnormal configuration of network objects deployed in a cloud computing environment are provided. The method includes collecting network object data on a plurality of network objects deployed in the cloud computing environment; constructing a network graph based on the collected network object data, wherein the network graph includes a visual representation of network objects identified in the cloud computing environment; determining relationships between the identified network objects in the network graph, wherein the determined relationships between the identified network objects includes descriptions of connections between the identified network objects; and analyzing the network graph and the determined relationships to generate insights, wherein the generated insights include at least a list of abnormal connections between the identified network objects.

Abstract: A system and method for generating a compact forensic event log based on a cloud log, includes: traversing a security graph to detect a node representing a cloud entity in a cloud computing environment, wherein the security graph includes a representation of the cloud computing environment; detecting a node representing a cybersecurity threat connected to the node representing the cloud entity; parsing a cloud log of the cloud computing environment to detect a data record, the data record including an attribute of the node representing the cloud entity; and generating a compact forensic event log including the detected data record.

Abstract: A system and method for detecting a cloud detection and response (CDR) event from a cloud log. The method includes detecting an identifier of a cloud entity in a cloud log, wherein the cloud log includes a plurality of records generated by a cloud computing environment; detecting a node in a security graph based on the identifier of the cloud entity, wherein the security graph includes a representation of the cloud computing environment; generating a CDR event in response to determining from the security graph that the first node is associated with a cybersecurity threat; and initiating a mitigation action based on the cybersecurity threat.

Abstract: A system and method detects an exploited vulnerable cloud entity. The method includes: detecting in at least one cloud log of a cloud computing environment a plurality of events, each event corresponding to a failed action, each event further corresponding to a cloud entity deployed in the cloud computing environment; extracting from the cloud log an identifier of the cloud entity; traversing a security graph to detect a node representing the cloud entity, based on the extracted identifier, wherein the security graph includes a representation of the cloud computing environment; detecting a node representing a cybersecurity vulnerability connected to the node representing the cloud entity; and initiating a mitigation action for the workload based on the cybersecurity vulnerability.

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 traces suspicious activity to a workload based on a forensic log. The method includes detecting in at least one cloud log of a cloud computing environment a plurality of events, each event indicating an action in the cloud computing environment; extracting from an event of the plurality of events an identifier of a cloud entity, wherein the event includes an action which is predetermined as indicative of a suspicious event; traversing a security graph to detect a node representing the cloud entity, wherein the security graph further includes a representation of the cloud computing environment; detecting that the node representing the cloud entity is connected to a node representing a cybersecurity vulnerability; and initiating a mitigation action for the cloud entity based on the cybersecurity vulnerability.

Abstract: A system and method detect a malware infection path in a compute environment. The method includes detecting a malware object on a first workload in a computing environment including a plurality of workloads, wherein the first workload is represented by a resource node on a security graph, the security graph including an endpoint node representing a resource which is accessible to a public network; generating a potential infection path between the resource node and the endpoint node including at least a second resource node connected to the resource node; inspecting a second workload of the plurality of workloads represented by the second resource node; determining that the potential infection path is a confirmed infection path, in response to detecting the malware on the second workload; and determining that the potential infection path is not an infection path, in response to detecting that the second workload does not include the malware.

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.