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 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 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 reduces use of restricted operations in a cloud computing environment during cybersecurity threat inspection. The method includes: detecting an encrypted disk in a cloud computing environment, the encrypted disk encrypted utilizing a first key in a key management system (KMS); generating a second key in the KMS, the second key providing access for a principal of an inspection environment; generating a snapshot of the encrypted disk; generating a volume based on the snapshot, wherein the volume is re-encrypted with the second key; generating a snapshot of the re-encrypted volume; generating an inspectable disk from the snapshot of the re-encrypted volume; and initiating inspection for a cybersecurity object on the inspectable disk.

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 detecting a cybersecurity risk of an artificial intelligence (AI), is presented. The method includes: inspecting a computing environment for an AI model deployed therein; generating a representation of the AI model in a security database, the security database including a representation of the computing environment; inspecting the AI model for a cybersecurity risk; generating a representation of the cybersecurity risk in the security database, the representation of the cybersecurity risk connected to the representation of the AI model in response to detecting the cybersecurity risk; and initiating a mitigation action based on the cybersecurity risk.

Abstract: A system and method for providing cybersecurity incident response utilizing a large language model. The method includes: mapping a received incident input into a scenario of a plurality of scenarios, each scenario including a plurality of sub-scenarios; generating a query based on the received incident input and a selection of a sub-scenario of the plurality of sub-scenarios; executing the query on a security database, the security database including a representation of the computing environment; and initiating a mitigation action based on a result of the executed query.

Abstract: A system and method for providing cybersecurity incident response utilizing a large language model. The method includes: mapping a received incident input into a scenario of a plurality of scenarios, each scenario including a plurality of sub-scenarios; generating a query based on the received incident input and a selection of a sub-scenario of the plurality of sub-scenarios; executing the query on a security database, the security database including a representation of the computing environment; and initiating a mitigation action based on a result of the executed query.

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 generation of unified graph models for network entities are provided. The method includes collecting, for at least one network entity of a plurality of network entities, at least one network entity data feature, wherein the at least one network entity data feature is a network entity property; genericizing the collected at least one network entity; generating at least a network graph, wherein the generated network graph is a multi-dimensional data structure providing a representation of the plurality of network entities and relations between the network entities of the plurality of network entities; and storing the generated at least a network graph.

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 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 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 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 technique and method for detection and display of the cybersecurity risk context of a cloud environment initiates an inspection of cybersecurity objects within a cloud environment utilizing an inspection environment and stores information pertaining to discovered cybersecurity objects within the inspected cloud environment in a storage environment. The technique and method further generate a cybersecurity risk context for the inspected cloud environment based on the observations made concerning the cybersecurity objects contained within it. The technique and method further configure a web browser running on a client device to automatically display the generated cybersecurity risk context to a user, either through a web page overlay or through a toolbar plugin which has been installed in the web browser and configured to enable inspections of a cloud environment, once the user has navigated to a web page containing cybersecurity object identifiers.

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.

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.