taranis-ai/taranis-ai

What it solves

Taranis AI streamlines the process of Open-Source Intelligence (OSINT) gathering. It solves the problem of manually sifting through vast amounts of unstructured data from websites and news feeds by automating the collection and refinement of information into structured, publishable intelligence reports.

How it works

The system uses a distributed architecture with a central REST API (core) and specialized workers. These workers scour data sources like websites, RSS/Atom feeds, and Mastodon to collect unstructured news articles. It then applies Natural Language Processing (NLP) and AI to enhance the quality and enrich the content of these articles. Human analysts then refine this AI-augmented data into structured report items, which can be exported as PDFs or published.

Who it’s for

It is designed for intelligence analysts and security professionals who need to monitor diverse data sources and transform raw web information into formal situational analysis reports.

Highlights

• Automated OSINT Collection: Gathers unstructured news from multiple web sources and feeds.
• AI-Powered Enrichment: Uses NLP to automatically improve the quality of collected intelligence.
• Structured Workflow: Provides a clear path from raw data collection to analyst refinement and final publication.
• Collaborative Intelligence: Supports experimental sharing of intelligence stories via MISP.
• Multi-Format Output: Capable of generating structured reports and PDF deliverables.