A SOAR platform that actually reads the news for you
Watcher automates threat intel by scraping RSS feeds, certificate logs, and paste sites, then summarizing it all with local LLMs.

What it does
Watcher is a Django/React security operations platform that ingests threat data from dozens of sources—CERT advisories, certificate transparency logs, ransomware trackers, code repositories, and even Pastebin—then surfaces what matters through keyword-based “Watch Rules.” It also monitors for typosquats of your domains, tracks leaked credentials, and can push findings to TheHive or MISP. Docker deployment is a single make up away.
The interesting bit
Instead of just aggregating feeds, Watcher runs local Hugging Face models (FLAN-T5 for summarization, BERT-NER for IOC extraction) to generate weekly digests and breaking-news alerts. The AI angle is practical, not performative: it turns raw RSS noise into paragraphs a human might actually read.
Key highlights
- Certificate transparency monitoring via CertStream catches suspicious domain registrations in real time
- TLSH fuzzy hashing detects when monitored malicious domains change content or infrastructure
- Full TheHive sync with auto-created alerts and pre-built Cortex analyzers
- MISP export with UUID tracking for collaborative IOC sharing
- SSO/OIDC, LDAP, or local auth; Swagger UI auto-generated at
/api/docs/
Caveats
- Pastebin monitoring requires a paid Pro account and IP whitelisting
- The README claims “10 minutes” to deploy but doesn’t specify hardware requirements for running the ML models locally
- Some feature descriptions (“smart case management,” “smart UUID tracking”) are vague on what “smart” actually means
Verdict
Security teams drowning in open-source feeds but allergic to commercial TI platforms should evaluate this. If you already have a mature Splunk/Elastic SOAR pipeline, Watcher may duplicate effort.