Wiz, Inc.

Barak Sharoni

Amitai Cohen

Alon Schindel

George Pisha

Itay Arbel

Ami Luttwak

Roy Reznik

Yinon Costica

Yaniv Shaked

Shir Tamari

Daniel Velikanski

Liron Levin

Maayan Laav

Bar Magnezi

Alon Weiss

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

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 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

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Tel Aviv, Israel

Barak Sharoni