Best Security Practices for AI Prompting and Building Agent Systems

This report serves as a guide on best security practices for utilizing artificial intelligence (AI) in prompting and building agent systems. It discusses the evolution of AI, particularly large language models (LLMs), and emphasizes the importance of careful engineering and system design to achieve reliable results. The document synthesizes insights from seven resources provided by major industry players, including O’Reilly and Google, outlining effective techniques for prompt engineering and the integration of AI into enterprises. Key topics include understanding model architecture, gathering relevant context, and choosing appropriate prompting techniques. The report also highlights the iterative nature of prompt engineering, advocating for a feedback loop to refine prompts based on output evaluation. Additionally, it presents practical examples of applying these techniques in real-world scenarios, such as product description summarization and educational explanations. By the end, readers are expected to gain a clear understanding of how to adopt AI responsibly within their organizations.