The rapid advancement of Generative Artificial Intelligence (GenAI) presents a dual-edged impact on cybersecurity and information security. While its capabilities drive innovation and efficiency across industries, the widespread integration of self-learning generative algorithms also introduces novel cyber threats. This paper explores the technical, operational, and strategic risks associated with GenAI, emphasizing its role in cyberattacks, data manipulation, and security vulnerabilities. Key concerns include data confidentiality breaches, misinformation proliferation, and the exploitation of AI for cybercrime, including phishing, deepfakes, and AI-generated malware. The study also evaluates threats to information integrity, highlighting AI-driven disinformation campaigns and adversarial attacks that compromise decision-making processes. Additionally, we discuss the regulatory challenges posed by GenAI, including legal ambiguities in data protection and intellectual property rights. Drawing from cybersecurity frameworks and real-world case studies, the paper proposes strategies for mitigating GenAI-related threats, including AI governance, ethical design principles, and enhanced cybersecurity protocols. By addressing these risks, policymakers, security professionals, and AI developers can work toward a balanced approach that maximizes AI’s potential while safeguarding digital infrastructure and societal trust.