As the digital landscape keeps evolving, corporate security systems are facing increasingly complex and ever-changing threats that often outstrip traditional defense strategies. This review explores how artificial intelligence (AI) is transforming corporate security through machine learning, anomaly detection, threat intelligence, and real-time decision-making support. By automating those tedious tasks, sorting through heaps of data, and enabling quick responses to potential threats, AI helps organizations strengthen their digital and physical security systems. This paper dives into the challenges that come with AI integration, like making sure data is reliable, algorithms are transparent, ethical issues are addressed, and governance standards are met. Through various case studies and a look at industry tools such as IBM Watson, Darktrace, and Microsoft Security Copilot, the review highlights how AI is increasingly shaping risk management, compliance, and cost efficiency. Ultimately, it emphasizes the need for strong AI governance frameworks and zero-trust architectures to ensure that implementation is both responsible and secure.
Stanojević et al. (Wed,) studied this question.