Check Point Software Technologies Ltd.

Nofar Bardugo

Dan Karpati

Barak Kfir

Tamir Zegman

Eliyahu Hanokh Sandler

Moisey Sidgiyayev

Yotam Ahrak

Elena Root

A computer device (referred to as a processing engine), system, and method are provided for refactoring an original security policy using an artificial intelligence (AI) engine including a large language model (LLM). The processing engine parses policy data converts the original security policy into a code representation and sends the converted code representation to the AI engine. The AI engine analyzes the original security policy by applying the LLM to the code representation and identifies policy insights that are sent to the processing engine.

Security policy refactoring using AI

A device, method, and system are provided for improving user interactions with large language models (LLMs) by enhancing user queries. User queries are enhanced by retrieving if/then pairs from a database that are related to the user query. The query is matched to related if statements stored in the database and the then statements of the matched if statements are included with the query to generate improved answers from the LLM.

Dynamic AI tester with feedback-driven learning

Growing community of inventors

Ramat-Gan, Israel

Nofar Bardugo