Advanced Defense Techniques: Beyond Traditional Security Measures

Abstract

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While it is now clear that cyber threats are becoming more advanced as well as more frequent, traditional approaches to information security appear inadequate. In this chapter, more developed defense measures are discussed which can be considered as enhanced methods to counter threats inherent in contemporary cybersecurity. We discuss techniques like machine learning (ML)-natural language processing (NLP)-based anomaly detection, zero trust security model, and behavior-based threat intelligence, where we focus on their capacities to detect and mitigate modern sophisticated threats. Furthermore, the chapter looks at artificial intelligence (AI)-driven planning and implementation of automation and adaptive security that provide organizations with the ability to increase preparedness and response. As such, these more sophisticated strategies are effective because they overcome fixed or passive defenses and incorporate multiple defensive mechanisms compatible with modern constantly evolving threats.