Cyber-Attack Defense System Enhanced by Artificial Intelligence
Usman Showkat Rangrez, Syed Absar Qadri, C. Ashok Kumar, C. Jothi Kumar · 2024
In today's rapidly evolving digital landscape, ensuring the security of computer systems and networks is of utmost importance. With the widespread use of internet access, the escalation of cyberattacks and infiltration attempts poses significant threats to both data integrity and user privacy. Addressing these challenges, the integration of AI-Powered Cyber Security Defender Systems has become an essential component within contemporary cybersecurity frameworks. This research delves into the realm of these advanced systems, exploring their development, classification, methodologies, challenges, and future prospects. The study commences by examining key milestones that have shaped the modern architectures of AI-Powered Cyber Security Defender Systems throughout their historical evolution. It provides a comprehensive classification of these systems, elucidating their operations and advantages. Leveraging artificial intelligence and machine learning, these systems have the capability to analyze large datasets, identify patterns, and respond to malicious activities within networks, significantly enhancing overall security. The research paper underscores the pivotal role played by AI-Powered Cyber Security Defender Systems in safeguarding digital assets and user information. In conclusion, the study offers valuable insights for cybersecurity experts, researchers, and policymakers, thoroughly addressing the development, methodologies, challenges, and future trends of these systems, advocating for a proactive approach to securing the digital sphere.