Wiz, Inc.

Bar Magnezi

Roy Reznik

Amir Lande Blau

Yaniv Joseph Oliver

Barak Sharoni

Itay Arbel

Or Heller

Erez Eyal

Lir Locker

Daniel Lazarev

A system and method for generating a database query based on a natural language query is presented. The method includes receiving an unstructured natural language query directed to a security database, wherein the security database includes a representation of a computing environment; selecting a group of database queries from a plurality of preexisting database queries based on a similarity to the unstructured natural language query; generating a context for processing by a language model, the context including the selected group of database queries, an identified technology, and a schema of the computing environment; processing a prompt and the generated context utilizing the language model to generate a second database query; and executing the second database query on the security database.

System and method for improving efficiency in natural language query processing utilizing language model

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.

System and method for validating a signature of a virtual workload image in runtime

A system and method for signatureless validation of objects in a computing environment, including artifacts, objects, files, virtual images, and the like. The method includes: detecting a request to deploy an instance based on a software artifact in the computing environment; generating a first fingerprint based on the software artifact in response to detecting the request to deploy the instance; querying a fingerprint database, including a plurality of validated fingerprints, to determine if the first fingerprint is stored therein; deploying the instance in response to validating the first fingerprint; and blocking deployment of the instance in response to determining the first fingerprint is not of the plurality of validated fingerprints.

Techniques for signatureless virtual instance image verification in cloud computing environments

In some implementations, the device may include detecting a virtual instance deployed in a computing environment, the virtual instance deployed based on a software image. In addition, the device may include detecting an image name of the software image. The device may include accessing an image software repository to retrieve the software image based on the detected image name. Moreover, the device may include initiating validation of the retrieved software image. Also, the device may include initiating a mitigation action on the virtual instance in response to detecting that the retrieved software image is an invalid software image.

Techniques for validating a virtual workload signature from a software repository

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.

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Tel Aviv, Israel

Bar Magnezi