Abstract: In some aspects, a device includes selecting a signed software image for deployment in a computing environment, the software image signed utilizing a private cryptographic key of an asymmetrical cryptography scheme. Also, the device may include accessing a public cryptographic key corresponding to the private cryptographic key. Furthermore, the device may include configuring an admission controller of a software container cluster deployed in the computing environment to verify the signed software image utilizing the public cryptographic key. In addition, the device may include deploying the signed software image in the software container cluster in response to verifying the signed software image. Moreover, the device may include denying deployment of the signed software image, in response to determining that the signed software image is signed with a key which is not the private cryptographic key.

Abstract: A system and method for cybersecurity inspection of a volume based on image layers is disclosed. In some implementations, the method may include generating an inspectable disk based on a volume of a virtual instance, the volume generated based on a plurality of images, each image corresponding to a unique layer of a plurality of layers. In addition, the method may include parsing a manifest associated with the volume, the manifest including an identifier of each unique layer. The method may include determining an order of layers based on the manifest, where a first layer of the virtual instance is deployed prior to a second layer of the virtual instance. Moreover, the method may include initiating inspection for a cybersecurity object on a first layer of the plurality of layers. Also, the method may include initiating a mitigation action in response to detecting the cybersecurity object.

Abstract: An audio transmission device, through a virtual sound card, receives a first audio sent by a voice interaction system, and forwards, through an audio loopback device, the first audio to a voice platform; receives a second audio sent by the voice platform, and forwards the second audio to the voice interaction system through the audio loopback device. A third-party Voicebot Agent platform obtained by an enterprise can therefore be integrated into a cloud call center platform.

Abstract: A system and method for detecting an attack path in a computing environment is presented. The method includes: detecting a forensic artifact in a computing environment, the forensic artifact including an identifier of a resource deployed in the computing environment; inspecting the resource for a cybersecurity object, the cybersecurity object indicating a cybersecurity issue; generating a representation of: the detected forensic artifact, the resource, and the cybersecurity object, in a security database, wherein the security database includes a representation of the computing environment; generating a potential lateral movement path between the resource and another resource; and generating a visualization based on the potential lateral movement, the forensic artifact, and the cybersecurity object.

Abstract: A system and method detecting an artificial intelligence (AI) pipeline in a cloud computing environment. The method includes: inspecting a cloud computing environment for an AI pipeline component; detecting a connection between a first AI pipeline component and a second AI pipeline component; generating a representation of each of: the first AI pipeline component, the second AI pipeline component, and the connection, in a security database; and generating an AI pipeline based on the generated representations.

Abstract: A system and method for near real time detection of cybersecurity threats in a computing environment. The method includes: detecting an event in a data log, the data log including a plurality of data records, each data record corresponding to at least an event; parsing a data record corresponding to the event to detect a data value; detecting a node in a security graph, the node corresponding to the detected data value, wherein the security graph includes a representation of the computing environment; initiating inspection of a resource corresponding to the node.

Abstract: A system and method for detecting a cybersecurity object in operating system-level virtualization objects. The method comprises: inspecting a first image of an operating system-level virtualization for a cybersecurity object; inspecting a second image for the cybersecurity object, wherein the second image is based off of the first image; associating the cybersecurity object with the first image, in response to detecting the cybersecurity object in the first image and detecting the cybersecurity object in the second image; and associating the cybersecurity object with the second image, in response to detecting the cybersecurity object in the second image and not detecting the cybersecurity object in the first image.

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 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 securing the development of software applications are provided.

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 assembling a disk for cybersecurity inspection is disclosed. The method includes receiving access to an inspectable disk, the inspectable disk including a block device and a list of partitions; mounting a first partition from the list of partitions at a first directory in response to detecting a first operating system on the first partition; detecting a boot directory on a second partition from the list of partitions in response to detecting a second operating system on the second partition; detecting a mounting partition from a configuration file of the detected boot directory; detecting a filesystem table on the mounting partition; and mounting each partition from the list of partitions based on an order indicated by the filesystem table.

Abstract: A system and method for inspecting a resource in an on-premises environment for a cybersecurity threat are disclosed. According to an embodiment, the method includes initiating a network communication between an on-premises environment and an inspection environment; scanning the on-premises environment for a workload, the workload including a disk; generating an inspectable disk based on the disk; providing access to an inspector deployed in the inspection environment to inspect the inspectable disk for a cybersecurity object; and releasing a resource allocated to the inspectable disk in response to detecting that inspection of the inspectable disk is complete.

Abstract: An intent recognition method having a self-learning capability includes the following steps: acquiring a user expression, and recognizing a voice as a corresponding text; performing preliminary intent recognition on the user expression, and outputting candidate intents; acquiring historical data feature parameters of the candidate intents; on the basis of a pre-set rule strategy, deciding whether to directly output a final recognized intent, and on the basis of the feature parameters of each intent, performing rule computation, and outputting a final recognized intent; submitting prediction data of the final recognized intent and the candidate intents from the intent recognition process to a self-learning system, and performing self learning and indicator parameter data updating. The present disclosure is able to perform self learning on the basis of the feature distribution in historical data of intent recognition and dynamically adjust intent recognition strategies.

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 and system for populating multi-layer technology product catalogs are provided.

Abstract: A system and method for validating cybersecurity issues utilizing runtime data is disclosed. In an embodiment the method includes: inspecting a workload deployed in a computing environment for a cybersecurity issue; deploying a sensor on the workload, the sensor configured to collect runtime data from the workload; initiating a first mitigation action with a first priority in the computing environment in response to validating the cybersecurity issue from the collected runtime data; initiating a second mitigation action with a second priority, which is lower than the first priority, in response to failing to validate the cybersecurity issue from the collected runtime data.

Abstract: A system and method for generating a remediation action in a computing environment based on a cybersecurity inspection. The method includes: inspecting a computing environment for a cybersecurity object; detecting a cybersecurity issue in the computing environment based on detection of the cybersecurity object; generating an input for a generative remediator based on the detected cybersecurity issue, wherein the generative remediator is configured to generate an output including a remediation action based on the input; and initiating the remediation action in the computing environment.

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 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.