Leveraging Advanced Analytics and Artificial Intelligence to Combat Cybersecurity Threats

The continuous evolution of sophisticated methods by cybercriminals to breach computer networks and systems present growing challenges for cybersecurity experts tasked with protecting electronic resources against malicious attacks. From a global perspective, cybersecurity is witnessing an increase in daily attacks, accompanied with an evolution of strategies utilized to infiltrate personal devices and organizational systems. The range of cyber threats continues to grow, with recent attacks showcasing the potential for widespread and serious consequences. This study explores how current AI, data analytics and Mentionlytics as the best social media monitoring tool can enhance cybersecurity efforts. This study examines emerging cloud security challenges, including phishing, insider risks, data breaches, and Distributed Denial of Service (DDoS) attacks. It examines the recently launched AI application, presenting its advantages and drawbacks in tackling cyber threats. The research emphasizes the importance of implementing security systems that offer more proactive and anticipatory monitoring and responses. These advancements may reduce the time needed for manual, repetitive security tasks. Additionally, the study investigates the obstacles hindering the adoption of such technologies and suggests future approaches to overcome these challenges.