Significant applications in healthcare, education, and finance have been made possible by the rapid development of artificial intelligence (AI), especially large language models (LLMs) like GPT-4 and Vicuna-13B. However, dual-use dangers, such as disinformation, cybercrime, and content moderation evasion, are a concern, as these technologies are becoming more susceptible to adversarial attacks. This study offers a comprehensive governance architecture incorporating hybrid monitoring systems, adaptive governance mechanisms, and region-specific tactics to guarantee responsible development and implementation to address these issues. The usefulness and efficacy of the framework are illustrated through case studies and real-world applications, focusing on doable ways to handle the moral and practical problems raised by adversarial AI tools. To promote confidence, safety, and responsibility in AI systems, this work offers important insights and suggestions for practitioners, researchers, and policymakers.