Intelligent Machine Learning Solutions for Cybersecurity: Legal and Ethical Considerations in a Global Context

Abstract

Cybersecurity threats have dramatically advanced over the last 10 years, with cybercriminals using increasingly sophisticated techniques to infiltrate systems. Ransomware attacks, phishing schemes, and advanced persistent threats (APTs) are just a few examples of the myriad challenges that organizations face globally. The financial losses and reputational harm from these incidents highlight the critical need for strong cybersecurity measures. Machine learning has become an essential tool in the fight against cyber threats. With utilizing large datasets, ML algorithms can detect patterns and anomalies indicative of malicious activity. This ability significantly improves the effectiveness of cybersecurity systems in identifying, responding to, and mitigating attacks in real-time, thus narrowing the window of opportunity for cybercriminals. This chapter comprehensively explores the diverse arena of the intelligent machine learning solutions for cybersecurity concerning legal and ethical considerations in global context.