Legal and Regulatory Frameworks for AI in Cybersecurity: Strategies Against Threats and Fraud

Abstract

Abstract: This chapter delves into the intricate web of legal and regulatory frameworks governing the deployment of Artificial Intelligence (AI) in cybersecurity. In an era where digital threats evolve with alarming speed and complexity, AI offers a beacon of hope for robust defense mechanisms. However, the integration of AI into cybersecurity strategies introduces a plethora of legal and ethical considerations that must be navigated with precision. From data protection and privacy concerns under regulations like GDPR and CCPA to the challenges of ensuring fairness, accountability, and transparency in AI algorithms, the chapter explores the multifaceted legal landscape that organizations must traverse. It further examines the role of international regulatory bodies in shaping AI use in cybersecurity, highlighting the importance of staying abreast of regulatory changes and adopting a proactive compliance stance. Through real-world case studies, the chapter sheds light on the legal challenges and successes experienced by organizations deploying AI in their cybersecurity efforts, offering insights into best practices for ethical AI deployment. The evolving nature of legal and regulatory frameworks is analyzed, with predictions on future trends that stakeholders must prepare for. The chapter concludes with a call to action for ongoing vigilance and adaptation, emphasizing the critical role of legal and ethical considerations in leveraging AI to combat cyber threats and fraud effectively. Keywords: AI in Cybersecurity,Legal Frameworks,Regulatory Compliance,Data Privacy,Ethical AI,Intellectual Property Rights,International Regulatory Bodies,Bias Mitigation,Transparency and Explainability,Cross-Border Data Transfers and Future Trends in AI Regulation.