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Automate OSINT collection into a knowledge graph by running a multi-phase pipeline that gathers data from open sources, validates findings, extracts entities, and builds relationships between people, companies, and products. The graph updates continuously across cycles.

Change detection in open-source intelligence monitoring identifies updates across targets like companies, people, and markets over repeated collection cycles. It scores changes, de-duplicates data, and updates the knowledge graph to maintain current intelligence.

Entity extraction for building knowledge graphs from web scraping identifies people, technologies, companies, and events within collected data. It uses configurable prompts and guardrails to validate sources and de-duplicate findings before updating the graph.

You can generate structured reports from an automated OSINT pipeline after the collection and entity extraction phases complete. The pipeline produces reports detailing detected changes and validated intelligence across monitoring cycles.

You do not need external dependencies to run continuous intelligence workflows. The pipeline operates independently using configurable prompts and built-in guardrails to handle source validation, de-duplication, and change scoring.