Guide to the OWASP Top 10 for LLMs: Vulnerability mitigation with Elastic

As industries and governments increasingly integrate large language models (LLMs) and generative AI into their operations, they face new security challenges that traditional measures cannot adequately address. The Open Web Application Security Project (OWASP) has created the OWASP Top 10 for LLM Applications as a framework to navigate these risks, emphasizing the need for a unified platform combining security, observability, and data management. Elastic's Search AI Platform provides a comprehensive solution by offering deep observability and security analytics across the entire LLM application stack, from user prompts to backend infrastructure. Utilizing tools such as Elastic Security and Elastic Observability, the platform addresses vulnerabilities such as prompt injection, sensitive information disclosure, and data poisoning by correlating signals across various layers and leveraging machine learning and prebuilt detection rules. This integrated approach allows organizations to confidently innovate with AI while managing risks effectively, as outlined in the OWASP Top 10 for LLMs.

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