RISK-AWARE LEGAL GOVERNANCE FOR AI-DRIVEN CYBERSECURITY SYSTEMS: FRAMEWORKS, COMPLIANCE, AND ACCOUNTABILITY

Abstract

As AI becomes increasingly central to cybersecurity, organizations face new legal and ethical challenges. This paper explores risk-aware governance approaches for AI-driven cybersecurity systems, focusing on compliance, accountability, and regulatory alignment. By reviewing current laws and AI-specific regulations, it identifies potential gaps and liabilities that may arise from automated decision-making. A practical framework is proposed to help organizations integrate risk management into their AI cybersecurity strategies, including ongoing monitoring, transparent reporting, and ethical safeguards. The study shows that considering legal and ethical aspects from the start not only reduces regulatory risks but also strengthens trust and system reliability. The insights offered aim to guide policymakers, legal professionals, and technology developers in fostering responsible AI adoption in cybersecurity.