Disciplines

🆔 Identity Intelligence (IDENT)

🔌 Sources for Identity Intelligence (4)

🎯 Mission Domains served

🎫 Data Points

🔍 Lookup

📊 Pre-built Queries · Identity Intelligence

🔄 Live Datasets & APIs (1 key-free · ingestible)

📜 Playbook — Identity Intelligence collection

1. Direction — frame the requirement for Identity Intelligence: what decision does this support, by when?
2. Collection — collect from the 4 mapped sources (4 free) — filter the catalog by IDENT; capture provenance and observe OPSEC.
3. Processing — normalize, de-duplicate and enrich the collected data.
4. Analysis — correlate against local holdings; apply ACH; assign confidence.
5. Dissemination — open a case, draft a report, share via STIX/MISP.
6. 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).

🗃 Data Management

🧩 Advanced Capabilities

🔗 Pivot to related disciplines

✨ Enrichment pathways

🎯 Mission

IDENT fuses biometric, biographic, and document data to resolve, verify, and deconflict identities across disparate sources. It answers whether records refer to the same person, what aliases they use, and what their true canonical identity is.

📡 Collection methods

• Facial recognition and reverse-image search across public photos and social media
• Biographic record aggregation from voter, property, court, and corporate registries
• Document exploitation: passport MRZ parsing and national-ID checksum/structure validation
• Alias/AKA graph construction from usernames, handles, and cross-linked profiles
• Entity resolution and probabilistic record linkage across heterogeneous datasets
• Deepfake and GAN-face detection on submitted imagery for liveness/authenticity

📚 Key sources & datasets

🎫 Data points produced

🔧 Tools & frameworks

• Maltego
• Aleph
• OpenRefine
• face_recognition/dlib
• Dedupe.io
• Neo4j
• Tesseract OCR

📜 Identity Intelligence Tradecraft

1. Collect: gather biographic records and facial imagery supporting the identity claim
2. Process: normalize names and dates, OCR documents, and generate face embeddings
3. Analyze: run entity resolution to cluster records to a single candidate identity
4. Attribute: adjudicate aliases and resolve conflicts into a canonical identity with confidence
5. Disseminate: issue a verified identity profile with linked source evidence
6. Action: push confirmed identities to watchlists, sanctions screening, or KYC review

📊 Dashboard KPIs

🔍 Pre-built queries

🔗 Cross-discipline pivots

🗃 Data Management

🧩 Advanced Capabilities