Artificial Intelligence (AI) in Cybersecurity: A Revolution in Threat Detection and Prevention

Artificial Intelligence (AI) in Cybersecurity: A Revolution in Threat Detection and Prevention

연구 분야: Safety

학회: International Ethical Hacking Conference

The article entitled “Artificial Intelligence (AI) in Cybersecurity: A Revolution in Threat Detection and Prevention” looks at how Artificial Intelligence (AI) has improved measures taken to ensure cyber safety. The methods that have been traditionally used for security cannot match the new sophisticated means of cyber-attacks hence the need for advanced options like AI. This study explores the relationship between cybersecurity and AI as two mutually dependent systems that work together toward achieving their goals. Different approaches within the field of artificial intelligence such as machine learning or deep learning are examined based on their effectiveness when it comes to the detection as well as mitigation of threats posed by cyberspace. It is shown in this paper that artificial intelligence can make threat finding proactive, response time minimal and predictions more accurate thus heightening general security robustness. The writer also assesses how real-life applications of AI have worked in preventing cybercrimes by showcasing some examples which underscore both its benefits and limitations. By doing so he provides readers with hands-on experiences on where they might use this technology while dealing with security issues surrounding information systems within organizations they work for or even personal gadgets like mobile phones. He further goes ahead to consider what could happen if we start using them widely now looking into future challenges plus opportunities associated with applying these machines toward safeguarding data networks against unauthorized access attempts (hackers). Additionally, it gives a balanced view of prospects for success concerning different areas covered under AI and cybersecurity.