AI-Driven Threat Detection in Cloud Environments
V. Jyothsna, E. Sandhya, K. Khaja Baseer, Bhasha Pydala · Advances in information security, privacy, and ethics book series · 2024
In cloud computing, integrating artificial intelligence (AI) is crucial for enhancing cybersecurity. As organizations move to the cloud, they encounter advanced threats that traditional security measures often miss. AI, through machine learning and deep learning, significantly improves threat detection and response times. This chapter discusses AI-based systems like anomaly detection, predictive analytics, and automated responses, highlighting their effectiveness in real-world scenarios. It also addresses challenges such as data privacy, quality training data, and adversarial attacks. Future trends are explored, emphasizing AI's evolution to counter new threats by adapting to emerging attack vectors and continuously learning from data. This chapter provides valuable insights for researchers, practitioners, and decision-makers to enhance cybersecurity strategies with AI in cloud environments, helping them better prepare for the evolving threat landscape.