"Securing AI Agents in Production: A Practical Guide" serves as a comprehensive resource for understanding and addressing the security challenges associated with deploying AI technologies, specifically focusing on large language models (LLMs) and autonomous generative AI systems. It covers a range of topics, including a detailed analysis of vulnerabilities in LLM applications, insights from a vast database of LLM attack data, and practical security measures such as data sanitization and PII detection. The guide introduces Gandalf, an educational game for AI security, and outlines Lakera Guard, a solution designed to counter common AI threats. It emphasizes the importance of designing secure AI agents by incorporating guardrails, tool restrictions, and robust prompt architectures, while highlighting the limitations of static filters and the necessity of real-time security measures. Through real-world examples and case studies like Dropbox's AI agent security, the guide offers actionable strategies for building, monitoring, and defending AI applications, advocating for proactive measures to prevent security incidents as AI agents transition from prototypes to production.