• AMIT

Generative Artificial Intelligence (AI) has emerged as a transformative force in the field of cyber security, offering novel capabilities for automated threat detection, response, and defense. This paper examines the evolving landscape of generative AI in cyber security, exploring its characteristics, advantages, technological underpinnings, and the challenges it presents. Generative AI systems in cyber security leverage advanced machine learning algorithms to autonomously detect anomalies and potential threats in real-time, significantly enhancing the speed and efficiency of threat mitigation efforts. These systems are capable of processing vast amounts of data, utilizing techniques such as natural language processing and behavioral analysis to identify and respond to malicious activities with a high degree of accuracy. Key advantages of generative AI in cyber security include its ability to adapt and learn from new data, continuously improving its threat detection capabilities without human intervention. Moreover, these AI systems offer scalable solutions that can handle the complexities of modern digital environments, mitigating risks across diverse platforms and networks. However, the deployment of generative AI in cyber security also introduces challenges, notably the emergence of adversarial AI techniques where malicious actors exploit AI vulnerabilities to evade detection or launch targeted attacks. Ethical considerations surrounding data privacy and the responsible use of AI in decision-making processes further underscore the need for robust frameworks and regulations to govern its deployment. Looking forward, future research in this area should focus on enhancing the resilience of AI models against adversarial attacks, developing ethical guidelines for AI-driven cyber security practices, and fostering collaborative efforts among industry stakeholders and researchers to address emerging threats effectively

Generative AI, cyber security, automated threat detection, adversarial AI, ethical implications, network security.

"THE EFFECT OF GENERATIVE AI ON CYBER SECURITY", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 7, page no.f318-f321, July-2024, Available :http://www.jetir.org/papers/JETIR2407544.pdf

"THE EFFECT OF GENERATIVE AI ON CYBER SECURITY", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 7, page no. ppf318-f321, July-2024, Available at : http://www.jetir.org/papers/JETIR2407544.pdf