Abstract: A system and method for improved endpoint detection and response (EDR) in a cloud computing environment initiates inspection based on data received from a sensor deployed on a workload. The method includes: configuring a resource, deployed in a cloud computing environment, to deploy thereon a sensor, the sensor configured to detect runtime data; detecting a potential cybersecurity threat on the resource based on detected runtime data received from the sensor; and initiating inspection of the resource for the potential cybersecurity threat.

Abstract: A system and method for detecting lateral movement based on an exposed cryptographic network protocol (CNP) key in a cloud computing environment. The method includes: inspecting a first workload for a private CNP key, the private CNP key associated with a hash of a public CNP key; detecting in a security database a representation of the public CNP key; generating a lateral movement path, the lateral movement path including an identifier of a second workload, the second workload represented by a representation connected to the representation of the public CNP key.

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 providing dynamic network traffic policies. The method includes: detecting a cybersecurity risk on a workload deployed in a cloud computing environment, the cloud computing environment having a firewall connected to an untrusted network; and configuring the firewall to filter network traffic to the workload based on the detected cybersecurity risk.

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 reducing false positive detection of cybersecurity events is disclosed.

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 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 method for detecting escalation paths in a cloud environment is provided. The method includes accessing a security graph representing cloud objects and their connections in the cloud environment; analyzing each cloud object to detect an escalation hop from a current cloud object to a next cloud object, wherein the analysis is based, in part, on a plurality of risk factors and reachability parameters determined for each cloud object; and marking the security graph with each identified escalation path in the security graph, wherein an escalation path is a collection of escalation hops from a source cloud object to a destination cloud object.

Abstract: A system and method for inspecting virtual instances in a cloud computing environment for cybersecurity threats utilizing disk cloning. The method includes: selecting a virtual instance in a cloud computing environment, wherein the virtual instance includes a disk having a disk descriptor with an address in a cloud storage system; generating an instruction to clone the disk of the virtual instance, the instruction 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 virtual instance; inspecting the cloned disk for a cybersecurity threat; and releasing the cloned disk in response to completing the inspection of the cloned disk.

Abstract: A system and method for agentless generation of a software bill of materials (SBOM) in a cloud computing environment is disclosed. The method includes: accessing a plurality of workloads in a cloud computing environment; detecting in each workload of the plurality of workloads a software component; generating for each workload an SBOM based on the detected software component; and storing each SBOM in a database.

Abstract: A system and method for reducing redundancy in inspecting container layers for cybersecurity objects includes: a processing circuitry; and a memory, the memory containing instructions that, when executed by the processing circuitry, configure the system to: generate a diff output between a first container layer and a second container layer, wherein the second container layer is previously generated based off of the first container layer, wherein the diff includes at least an object; inspect the first container layer for a cybersecurity object; inspect the object for the cybersecurity threat; associate the cybersecurity object with the first container layer in response to detecting the cybersecurity object in the first container layer and not in the at least an object; and associate the cybersecurity object with the second container layer in response to detecting the cybersecurity object in the at least an object and not in the first container layer.

Abstract: A system and method for detecting lateral movement based on an exposed cryptographic network protocol (CNP) key in a cloud computing environment. The method includes: inspecting a first workload for a private CNP key, the private CNP key associated with a hash of a public CNP key; detecting in a security database a representation of the public CNP key; generating a lateral movement path, the lateral movement path including an identifier of a second workload, the second workload represented by a representation connected to the representation of the public CNP key.

Abstract: A system and method for inspecting virtual instances in a cloud computing environment for cybersecurity threats utilizing disk cloning. The method includes: selecting a virtual instance in a cloud computing environment, wherein the virtual instance includes a disk having a disk descriptor with an address in a cloud storage system; generating an instruction to clone the disk of the virtual instance, the instruction 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 virtual instance; inspecting the cloned disk for a cybersecurity threat; and releasing the cloned disk in response to completing the inspection of the cloned disk.

Abstract: A system and method for improved endpoint detection and response (EDR) in a cloud computing environment configures a resource deployed in a cloud computing environment to deploy thereon a sensor, configured to listen on a data link layer for an event. The method further includes detecting a potential cybersecurity threat on the resource; sending a definition based on the cybersecurity threat to the sensor, wherein the definition includes a logical expression, which when applied to an event produces a binary outcome, and wherein the sensor is further configured to apply the definition to the event; determining that the potential cybersecurity threat is an actual cybersecurity threat in response to the produced binary outcome having a predetermined value; and generating an instruction to perform a mitigation action based on the actual cybersecurity threat.

Abstract: A system and method for detecting a cybersecurity event based on multiple cybersecurity data sources is disclosed. The method includes: receiving data from a first cybersecurity source, the first cybersecurity source configured to generate data based on a resource deployed in a computing environment; receiving data from a second cybersecurity source, the second cybersecurity source configured to generate data based on the resource deployed in the computing environment, wherein the second cybersecurity source has a source type which is different from a source type of the first cybersecurity source; detecting a cybersecurity event on the resource based on data received from the first cybersecurity source and data received from the second cybersecurity source; and initiating a mitigation action for the resource in response to detecting the cybersecurity event.

Abstract: A system and method for detecting privilege escalation on a resource deployed in a computing environment is disclosed. The method includes: configuring the resource to deploy thereon a sensor, the sensor configured to listen on a data link layer of the resource for an event; receiving from the sensor a permission-based event based on a first actor, the permission-based event indicating a first permission set of the first actor; querying a database to detect a second permission set of the first actor; detecting that the first permission set includes a permission which is not in the second permission set; determining that the resource is involved in a privilege escalation event in response to detecting that the first permission set includes a permission which is not in the second permission set; and initiating a mitigation action in response to the determined privilege escalation event.

Abstract: A system and method for reducing network communication from a sensor for detecting cybersecurity threats is disclosed. The method includes: configuring the resource to deploy thereon a sensor, the sensor configured to listen on a data link layer of the resource for an event; configuring the sensor to generate an event set from a plurality of events, based on a rule; detecting that a number of events in the event set exceeds a predetermined threshold; determining that a cybersecurity event occurred in response to detecting that the number of events exceeds the predetermined threshold; and initiating a mitigation action based on the cybersecurity event.