Harnessing Machine Learning Intelligence Against Cyber Threats: Navigating Legal and Ethical Challenges in Global Cyber Investigations

Abstract

The spread of cyberthreats in the digital age presents serious concerns to national security, the stability of the economy, and personal privacy. Traditional security methods are unable to keep up with the increasing sophistication and size of cyberattacks. With facilitating quick identification and mitigation of cyberthreats, machine learning (ML) has the revolutionary potential to improve cybersecurity measures. But applying ML in this field also brings up important moral and legal issues, particularly in light of international cybercrimes. This chapter comprehensively explores the machine learning's dual nature in cybersecurity, emphasizing both its advantages and disadvantages. It also talk about the state of cyber threats today, how machine learning is being incorporated into cybersecurity, and the moral and legal ramifications of using ML to international cyber investigations.