🔬 Technical Intelligence (TECHINT)
Technology Capability, Design, and Exploitation
Research & Technical
Sources
7
7 no-auth
Mission domains
4
reach
Data points
7
covered
Related INT
4
disciplines
🔌 Sources for Technical Intelligence (7)
| Source | Category | Auth | Format | |
|---|---|---|---|---|
| AI Incident Database Catalogued real-world AI harms/incidents. | Emerging Tech | NONE | json | home↗ api↗ |
| arXiv API Preprint research. | Academic | NONE | xml | home↗ api↗ |
| GitHub / Exploit-DB / OSV Code, package & exploit technical intel. | TECHINT | NONE | json | home↗ api↗ |
| Google Patents Global patent full-text search. | Patent | NONE | html | home↗ api↗ |
| huntr AI/ML Vulnerabilities Disclosed vulnerabilities in AI/ML OSS. | Emerging Tech | NONE | html | home↗ |
| MITRE ATLAS (AI threats) Adversarial ML threat matrix. | Emerging Tech | NONE | yaml | home↗ api↗ |
| OWASP Top 10 for LLM Apps LLM application risk taxonomy. | Emerging Tech | NONE | html | home↗ |
🎯 Mission Domains served
🔍 Lookup
📊 Pre-built Queries · Technical Intelligence
🔄 Live Datasets & APIs (3 key-free · ingestible)
📜 Playbook — Technical Intelligence collection
- Direction — frame the requirement for Technical Intelligence: what decision does this support, by when?
- Collection — collect from the 7 mapped sources (7 free) — filter the catalog by TECHINT; capture provenance and observe OPSEC.
- Processing — normalize, de-duplicate and enrich the collected data.
- Analysis — correlate against local holdings; apply ACH; assign confidence.
- Dissemination — open a case, draft a report, share via STIX/MISP.
- Feedback — set an alert rule / watchlist to monitor for change.
⚡ AI Skills & Automation
Automate unattended via the cron pipeline (collect → ingest → resolve → enrich → score → alert).
🧩 Advanced Capabilities
🔗 Pivot to related disciplines
✨ Enrichment pathways
🎯 Mission
Technical Intelligence exploits foreign materiel, hardware, components and supply chains — through teardowns, component markings, datasheets and trade-flow records — to characterize the performance and provenance of adversary systems. It answers what a captured or observed system can do, where its components come from, and which supply-chain chokepoints it depends on.
📡 Collection methods
- Teardown and bill-of-materials analysis of boards and components to fingerprint suppliers
- Component marking and datecode decoding for manufacturing provenance
- Import/export trade-flow analysis via HS codes and bills of lading
- Firmware and technical-manual exploitation for specifications
- Photogrammetry and dimensional measurement from equipment imagery
- Serial number, nameplate and FCC ID exploitation
- Vendor datasheet and standards correlation to confirm part identity
📚 Key sources & datasets
🎫 Data points produced
🔧 Tools & frameworks
- ImportYeti
- UN Comtrade Explorer
- FCC ID Search
- Octopart
- QGIS
- Maltego
- OpenRefine
📜 Technical Intelligence Tradecraft
- Acquire teardown imagery, component markings and matching trade records for the target system
- Decode part numbers, datecodes and FCC IDs to identify manufacturers and production lots
- Reconstruct the bill of materials and map the supplier and supply-chain dependency graph
- Trace components to real manufacturers and shipment routes via HS codes and bill-of-lading data
- Issue a capability and supply-chain vulnerability assessment
- Cue sanctions and GEOINT collection on chokepoint suppliers and their facilities
📊 Dashboard KPIs
Components ID'dSuppliers mappedTrade routesChoke-point vendorsFCC IDs resolved
🔍 Pre-built queries
🔗 Cross-discipline pivots
🧩 Advanced Capabilities
Workstation · Copilot · AI Skills · Automation · Playbooks · Lookups · Docs · Reports
🤖 AI Copilot
⚡ AI Skills
🔍 Lookup & Enrich
📚 Docs & Reports
💡 Recommendations
- Explore related tools below
- Automate recurring work via cron