This chapter covers
- The use of machine learning in cybersecurity
- Key machine learning algorithms for security applications
- Practical applications of AI in cybersecurity
- Implementing AI models in security systems
- Evaluating AI performance in cybersecurity
This chapter examines the transformative role that artificial intelligence (AI) and machine learning (ML) play in cybersecurity. AI and ML have changed the way organizations approach threat detection, response, and risk management. By learning from historical data and adapting to new patterns, AI can anticipate, identify, and respond to cyber threats far more rapidly and efficiently than traditional methods.
Here, we will explore some algorithms driving AI-powered cybersecurity solutions, their applications in real-world scenarios, and the practical steps required to implement and evaluate these models. Although AI and ML are complex technologies, this chapter aims to break them down into understandable components, providing security professionals with the knowledge they need to adopt AI-driven solutions effectively.