Connectivity, data proliferation, and technology have gained great
advantages in this age of digitization. However, these advantages bring significant
cybersecurity challenges. Especially with the advancement of malware, phishing
attacks, and ransomware, advances like these are making it challenging to stay ahead in
traditional security practices.
The advanced complexity in cyber security arises from these developments, like cloud
computing, the Internet of Things, and mobile technologies. Organizations now have to
shield not only their traditional networks but also environments based on the cloud,
endpoints, and third-party integrations. The more interconnected devices and systems
grow, the harder they are to secure from Distributed Denial of Service attacks and data
breaches, for instance. An important challenge would be the time it takes to detect and
respond to cyber incidents. Traditional security systems rely on static rules or
signature-based methods, which make them ineffective at changing attack tactics.
Artificial Intelligence has emerged as one of the significant transformative elements
within the realm of cybersecurity, offering improved methodologies for the detection,
prevention, and alleviation of cyber threats. With the complexity and intricacy of
cyberattacks on the rise, AI-driven systems offer a much more advanced system than
conventional security approaches. Further, artificial intelligence can predict potential
weaknesses and automate redundant security functions so that cybersecurity experts
can focus on strategic matters. This chapter analyses the increasing role of artificial
intelligence in the cyber defense strategy and its potential use in different sectors of
security.
Keywords: Artificial intelligence, Cyber security, Cyber attack, Network security.
