In the rapidly evolving landscape of artificial intelligence (AI) and large language models (LLMs), security can no longer be an afterthought. Implementing robust security measures is paramount as these technologies become integral to enterprise operations. However, proper security in AI goes beyond traditional cybersecurity practices — it must also encompass ethical considerations and responsible AI principles. 

This guide provides IT practitioners and decision-makers with a comprehensive approach to applying zero-trust principles in AI and LLM architectures, emphasizing the integration of ethical considerations from the ground up. 

The convergence of security and ethics in AI architecture 

Recent publications, such as the AI ethics principles outlined by Architecture and Governance, highlight the growing recognition that security and ethics in AI are inextricably linked. Ethical AI is secure AI, and secure AI must be ethical. The two concepts are mutually reinforcing and essential for responsible AI development.