Relishing Machine Learning Intelligence Combating Cyber Threats: Legal and Ethical Disquiets in Cyber Investigation at Global Scenario

Abstract

Machine learning in cybersecurity involves leveraging artificial intelligence technologies to bolster the defense of digital systems and data against cyber threats. This approach employs machine learning, neural networks, and other AI methods to enhance the efficiency and effectiveness of detecting, preventing, and responding to cyberattacks. AI helps identify anomalies by learning typical network behavior, performs behavioral analysis to spot suspicious activities, and facilitates real-time monitoring for instant threat detection. The role of AI in cybersecurity includes anticipating potential vulnerabilities and predicting future attacks through predictive analytics. Automated threat hunting reduces the burden on cybersecurity professionals by detecting threats within a network. This chapter focuses on the relishing machine learning intelligence for controlling and combating cyber threats and examines the legal and ethical disquiets in cyber investigation at global scenario.