Wiz, Inc.

Amitai Cohen

Barak Sharoni

Alon Schindel

George Pisha

Itay Arbel

Ami Luttwak

Roy Reznik

Yinon Costica

Yaniv Shaked

Shir Tamari

Daniel Velikanski

Liron Levin

Maayan Laav

Avi Tal Lichtenstein

Matilda Lidgi

Mattan Shalev

Eliran Marom

Tal Gilady

Alon Weiss

Michael Aminov

Alma Raziel

Rotem Lipowitch

Ron David Ben Arzi

Danielle Aminov

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 application endpoint validation and securement is presented. The method includes: detecting an application endpoint on a resource deployed in a computing environment; generating in a security database: a representation of the application endpoint, and a representation of the resource, wherein the security database includes a representation of the computing environment; determining a network path between the resource and an external network, the network path including the application endpoint and a reachability parameter; initiating active inspection of the application endpoint over the network path; and initiating a mitigation action in the computing environment in response to determining through active inspection that the application endpoint is exposed to the external network.

Application endpoint cybersecurity techniques

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.

Techniques for detecting AI pipelines in cloud computing environments

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.

Techniques for incident response and static analysis representation in computing environments

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.

Cybersecurity incident response techniques utilizing artificial intelligence

Growing community of inventors

Kfar Saba, Israel

Amitai Cohen