LEGAL CHALLENGES IN REGULATING AI-POWERED CYBERSECURITY TOOLS

Abstract

AI-powered cybersecurity tools can improve the threat detection process by analyzing the attack patterns. Biased datasets in implementing the AI model can increase the data privacy issue and enhance risks in business practices. Algorithmic bias, data privacy, and data protection are the key factors that can increase the legal challenges in AI-powered cybersecurity tools. Data governance and ethical practices can solve the legal challenges in AI-driven cybersecurity tools.