This workflow integrates NixGuard’s AI-powered Retrieval-Augmented Generation (RAG) with Wazuh security data to provide real-time cybersecurity insights. It is triggered by chat messages or manual input, then constructs and sends an API request to NixGuard, passing the security query containing API keys and user prompts. The response from NixGuard is parsed, formatted, and combined with other security data sources to deliver comprehensive security insights. The workflow includes detailed steps for setup, data aggregation, and response processing, making it ideal for automating cybersecurity threat detection and analysis in network environments.
Real-Time Security Insights with n8n and NixGuard
Node Count | 11 – 20 Nodes |
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Nodes Used | @n8n/n8n-nodes-langchain.chatTrigger, aggregate, code, executeWorkflowTrigger, httpRequest, merge, set, stickyNote |
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