AI-Powered Threat Detection in Business Environments

Abstract

The use of artificial intelligence (AI) in cybersecurity is a need due to the outpacing of conventional security measures by the fast growth of cyber threats. Exploring the function of machine learning (ML), deep learning (DL), and natural language processing (NLP) in recogniz- ing and reacting to new cyber dangers, this chapter offers a thorough introduction to AI-powered threat identification. The paper contrasts AI- based systems with more traditional approaches, demonstrating how AI can better identify unknown assaults, adapt to new threats, and decrease the number of false positives. It touches on topics such as training models using industry-specific data, ensuring they can commu- nicate with one other, and keeping them up-to-date and monitored. Data privacy, legislation compliance, and best practices for AI threat detection are also discussed. We discuss the need for human analysts to work with AI tools and how to overcome obstacles, including AI bias, complicated systems, and ethical considerations.