Wiz, Inc.

Itay Arbel

George Pisha

Amitai Cohen

Barak Sharoni

Yaniv Shaked

Alon Schindel

Shir Tamari

Daniel Velikanski

Roy Reznik

Liron Levin

Maayan Laav

Ami Luttwak

Yinon Costica

Gal Kozoshnik

Mattan Shalev

Ben Grynhaus

Bar Magnezi

Erez Eyal

Alon Weiss

Orr Shamli

Chris Beckett

Solal Raveh

Eyal Zisman

A system and method for iterative cybersecurity remediation based on a digital forensic finding is disclosed. In an embodiment, the method includes detecting a forensic finding, the forensic finding based on a forensic artifact detected on a disk of a resource in a computing environment; generating an inspectable disk based on the disk of the resource; inspecting the inspectable disk for a cybersecurity object based on the forensic artifact; and initiating a remediation action on the disk based on the cybersecurity object detected on the inspectable disk.

Techniques for system feedback in remediating cybersecurity risks

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.

Techniques for detecting artificial intelligence model cybersecurity risk in a computing environment

A system and method for detecting a combined cybersecurity risk for an artificial intelligence (AI) model 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; detecting a first cybersecurity risk respective of the AI model; inspecting the computing environment for a cybersecurity object; determining that the AI model is exposed to a toxic combination cybersecurity risk based on the detected first cybersecurity risk and the cybersecurity object; and initiating a mitigation action based on the toxic combination cybersecurity risk.

System and method for detecting cybersecurity risks in managed artificial intelligence models

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.

System and method for generating cybersecurity remediation in computing environments

A system and method initiating remediation actions in response to a cybersecurity issue in a computing environment is disclosed. The method includes: configuring a virtual instance in a computing environment to communicate with an inspection environment; configuring the virtual instance to receive in the computing environment a plurality of remediation scripts from the inspection environment; generating a remediation infrastructure including a plurality of remediation actions, each remediation action corresponding to at least a remediation script of the plurality of remediation scripts; detecting a cybersecurity issue in the computing environment; configuring the virtual instance to initiate a remediation action of the plurality of remediation actions, based on detecting the cybersecurity issue; and receiving a feedback in the inspection environment from the virtual instance in response to initiating the remediation action.

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Tel Aviv, Israel

Itay Arbel