Analytical study for cyber threat intelligence (CTI)

Cyber Threat Intelligence (CTI) involves collecting and analyzing cyber security data using advanced algorithms and rigorous techniques to identify and address potential threats, harmful incidents, and existing vulnerabilities that cybercriminals exploit. Threat intelligence facilitates faster and well-informed security decisions while understanding threat actors' motives, targets, and attack patterns. Defenders employ diverse strategies to prevent, detect, and disrupt incoming attacks. However, traditional security solutions are inadequate for today's complex security landscape, often proving ineffective against the rapid proliferation of cyber threats. Automating information sharing related to cyber threats presents new challenges for researchers and analysts, requiring them to detect deceptive practices and produce accurate, timely, and pertinent intelligence. This research explores the profound impact of Artificial Intelligence (AI) and Machine Learning (ML) in cyber security, including their various types, applications, challenges, and promising future. Leveraging AI knowledge, particularly ML technology, organizations can strengthen their defenses against malicious threats, reduce cyber risks, and establish a dynamic, automated, and up-to-date security system by analyzing security data.