Guide to the OWASP Top 10 for LLMs: Vulnerability mitigation with Elastic
Organizations are increasingly adopting large language models (LLMs) and generative AI (GenAI), creating new security challenges. Traditional security measures struggle to address the vulnerabilities inherent in these complex AI ecosystems. The OWASP Top 10 for LLM Applications provides a framework for navigating these risks. Securing LLM applications requires a unified platform that combines deep observability with powerful security analytics. Elastic's Search AI Platform offers an integrated solution to protect the entire LLM application stack, from prompts to infrastructure. This unified architecture provides visibility and control at every stage of an LLM-powered transaction. Elastic's capabilities instrument the input layer, monitor LLM and RAG interactions, and secure downstream systems. Telemetry from all these layers is ingested into a single Elasticsearch data store. Elastic Security and Observability then analyze this data to detect complex attacks and monitor for risks like misinformation and supply chain vulnerabilities.