Mr. Vishwanadham Mandala

Generative AI in Action: Cutting-Edge Strategies to Prevent Information Leakage and Enhance Cybersecurity

Abstract:

The rapid evolution of Generative Artificial Intelligence (AI) has opened new opportunities for enhancing information security and addressing the persistent challenge of information leakage in digital systems. This paper explores cutting-edge strategies enabled by generative AI to prevent unauthorized access, accidental disclosure, and data breaches in sensitive environments. By leveraging the ability of generative AI to analyze patterns, predict vulnerabilities, and automate security protocols, organizations can establish a proactive cybersecurity framework. Key methodologies, including synthetic data generation for secure testing, advanced anomaly detection, and automated policy enforcement, are examined for their role in mitigating information leakage risks. Additionally, this study highlights the ethical considerations and limitations associated with integrating generative AI into existing security infrastructures. The findings provide actionable insights for cybersecurity professionals seeking to harness generative AI for robust, scalable, and adaptive information security solutions.