With the rise of generative AI systems like large language models (LLMs), Elastic Security Labs has released the LLM Safety Assessment report to address the novel security challenges associated with these technologies. This report highlights prevalent LLM implementation risks and threats, drawing on research from OWASP, and outlines how Elastic's AI Assistant and Attack Discovery tools are designed to mitigate these concerns. Techniques such as prompt injection, insecure output handling, training data poisoning, supply chain vulnerabilities, sensitive information disclosure, and overreliance on AI outputs are specifically addressed, with features like historical chat logs, anonymization capabilities, and the Elasticsearch Relevance Engine (ESRE) enhancing security. Elastic emphasizes a proactive approach to adopting generative AI responsibly and securely by integrating robust security measures, ensuring the safe deployment of AI technologies while prioritizing ethical responsibility and data protection.