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Harnessing the Power of Generative Artificial Intelligence (GenAI) in Governance, Risk Management, a

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International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 11 Issue: 05 | May 2024

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p-ISSN: 2395-0072

Harnessing the Power of Generative Artificial Intelligence (GenAI) in Governance, Risk Management, and Compliance (GRC) Akshay Sekar Chandrasekaran Texas A&M University, USA ---------------------------------------------------------------------------***--------------------------------------------------------------------------ABSTRACT: The area of cybersecurity is changing quickly as Generative Artificial Intelligence (GenAI) is being used in security engineering and architecture, especially in Governance, Risk Management, and Compliance (GRC). This paper talks about how GenAI technologies can be used to make GRC processes more effective and efficient. It also talks about how this new way of doing things is changing how companies handle possible security risks. GenAI systems use advanced machine learning and AI algorithms to offer automated policy enforcement, predictive risk management, and real-time tracking of compliance. The paper uses real-life examples and data to show how GenAI can help with GRC. It also talks about what this technology could mean for building secure systems that are resilient and adaptable in the future. Keywords: Generative Artificial Intelligence (GenAI), Governance, Risk Management, Compliance, Predictive Analytics

I. INTRODUCTION Recently, Generative Artificial Intelligence (GenAI) has made a lot of progress, which has led to new ways to improve safety, especially in the areas of Governance, Risk Management, and Compliance (GRC) [1]. A lot of companies are using GenAI technologies, which are driven by advanced machine learning and AI algorithms, to make GRC processes easier and help companies better predict, reduce, and handle possible security risks [2]. 85% of companies plan to invest in AI-driven GRC solutions by 2025, showing that more and more people are becoming aware of GenAI's promise in this area [3].

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