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Generative AI for Cyber Security

R. RANITH PRAWIN
Department Of Computer Science - PG
Kongunadu Arts and Science College
Coimbatore, India

ABSTRACT:The widespread adoption of digital technologies, cloud services, and Internet-based communication has led to a substantialincrease in the likelihood of cyber dangers. Businesses worldwide face numerous cybersecurity issues, including malicious software, phishing scams, ransomware attacks, and breaches of sensitive information. Existing cybersecurity solutions primarily rely on detection methods based on pre-defined rules and signature-based security measures. Although these approaches are effective against recognized threats, they frequently struggle to identify novel and advanced cyberattacks that are continuously evolving. Consequently, there is an increasing demand for sophisticated technologies that can enhance the effectiveness and intelligence of cybersecurity systems. Generative Artificial Intelligence (AI) has emerged as a potent technology capable of bolstering cybersecurity through intelligent detection of threats, automated analysis, and quicker reaction capabilities. Generative AI models possess the ability to learn from extensive datasets and produce valuable outcomes, such as threat assessments, security observations, and evaluations of weaknesses. These models can scrutinize network activity, system records, and security data to detect suspicious actions and potential cyber risks in real time.Furthermore, generative AI can support cybersecurity experts by automating repetitive tasks, such as monitoring threats,responding to incidents, and creating security reports. This not only alleviates the burden on security teams but also enhances the precision and speed of threat identification. Despite its benefits, employing generative AI in cybersecurity introduces difficulties, including ethical considerations, concerns about data privacy, and the potential for exploitation by malicious actors. Consequently, incorporating generative AI into cybersecurity structures offers the possibility of reinforcing digital security systems and delivering more robust defenses against contemporary cyber threats.
Keywords: Generative AI, Cybersecurity, Artificial Intelligence, Threat Detection, Security Automation.