18535104. Generative AI report on security risk using LLMs (Zscaler, Inc.)

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Generative AI report on security risk using LLMs

Organization Name

Zscaler, Inc.

Inventor(s)

Raimi Shah of Austin TX (US)

Raj Krishna of San Francisco CA (US)

Manikya Bardhan of Bengaluru (IN)

Anjul Mishra of Nagpur (IN)

Generative AI report on security risk using LLMs

This abstract first appeared for US patent application 18535104 titled 'Generative AI report on security risk using LLMs



Original Abstract Submitted

Systems and methods for sing Large Language Models (LLMs) to generate an Artificial Intelligence (AI) report on security risk using the cybersecurity data include obtaining cybersecurity monitoring data for an organization where the cybersecurity monitoring data is from a plurality of sources including from cybersecurity monitoring of a plurality of users associated with the organization; inputting the cybersecurity monitoring data to a first Large Language Model (LLM) to generate an initial output for a security report; inputting the initial output to a second LLM for critiquing the initial output against a set of rules to check for predefined flaws and to check for what was done correctly to generate a critique; resolving the initial output and the critique to generate a final output; and providing the final output for the security report.