Role of AI in social cybersecurity: real-world case studies

The rapid advancement of artificial intelligence (AI) has significantly influenced the field of social cybersecurity, addressing the challenges of protecting individuals and communities in the digital realm. This chapter explores the role of AI in social cybersecurity through real-world case studies, showcasing its application and impact in various contexts. The abstract delves into the practical implementations of AI technologies, such as machine learning and natural language processing, to detect and prevent cyber threats, identify malicious activities, and safeguard sensitive information. The case studies highlight how AI-powered solutions have improved the efficiency and effectiveness of cybersecurity measures, leading to enhanced threat intelligence, faster incident response, and proactive defense mechanisms. Moreover, ethical considerations and privacy concerns associated with AI in social cybersecurity are examined, emphasizing the need for responsible and transparent practices. This chapter concludes by discussing the potential future developments and challenges in the field, calling for continuous innovation, collaboration, and adaptation to ensure the resilient protection of individuals and societies in the face of evolving cyber threats.