Revolutionizing Security Compliance and GRC with Generative AI and LLMs

Author(s)	Sibin Thomas
Country	United States
Abstract	This paper suggests a new GRC framework that uses Generative AI and LLMs to change the way standard GRC is done. The framework automates tasks, improves risk assessment, provides real-time compliance monitoring, and produces insights that can be used. This lets organizations manage risk and compliance proactively in today's changing world. This layered design makes it easy to add AI to GRC workflows, which improves security, efficiency, and strategic flexibility.
Keywords	AI, Generative AI (Gen AI), Large Language Models (LLM), AI-Powered Test Generation, Test Case Generation, Test Data Synthesis, Predictive Analytics, Risk-Based Testing, AI-Driven Testing Frameworks, Software Reliability, Test Coverage, Edge Case Testing, Corner Case Testing, Bug Prediction
Field	Engineering
Published In	Volume 5, Issue 2, March-April 2023
Published On	2023-03-03
DOI	https://doi.org/10.36948/ijfmr.2023.v05i02.37226
Short DOI	https://doi.org/g847zw

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International Journal For Multidisciplinary Research