Securing AWS Environments with AI-Driven Cybersecurity Strategies

Abstract

Breaking into even the largest organizations is far from challenging today, so safeguarding Amazon Web Services (AWS) environments from today's advanced threats is critical as cloud infrastructures form more crucial parts of business environments. This research examines AWS-specific AI-based cybersecurity approaches in the context of generative AI, IoT-based chatbots, and 5G edge computing within a zero-trust architecture. It uses survey data analyzed using quantitative methods jointly with qualitative case studies from various sectors to assess the effectiveness of these AI-based methods. Potential findings suggest that utilizing machine learning methods increases the performance accuracy and timeliness of threat identification while increasing organizational effectiveness. Also, generative AI and advanced chatbots leveraging the IoT completely alter the user's experience with real-time, context-sensitive assistance, and 5G edge computing builds security through increased data control and processing and robustness on the network. The conclusions made in this study underscore the opportunities for incorporating artificial intelligence in supporting AWS security stances and advancing cybersecurity advancements as innovative and sustainable patterns that can address further development of threats.