Overview #
Structured process for verifying claims through open-source intelligence (OSINT). Applied primarily to career reconstruction, corporate structure analysis, and public record cross-referencing. This methodology governs investigations that rely on publicly available data rather than leaked or classified materials.
Process #
1. Scope Definition #
Before beginning an OSINT investigation:
- Define research questions — what specific claims or gaps in the record need verification
- Identify target entities — individuals, companies, or organizations under review
- Establish temporal boundaries — date ranges relevant to the investigation
- Document jurisdictional context — which legal frameworks govern the data
2. Source Collection #
Gather information from tiered source categories:
| Tier | Source Type | Examples |
|---|---|---|
| Tier 1 — Primary | Official registries, filings, court records | Company registries, trademark databases, EDGAR, court docket systems |
| Tier 2 — Secondary | Professional platforms, press, industry databases | LinkedIn (archived), industry publications, press releases |
| Tier 3 — Tertiary | Social media, forums, cached pages | Web archives, social media posts, user reviews |
Rules:
- Always start with Tier 1 sources before descending
- Minimum 2 independent sources for any factual claim
- Archive all web sources at time of access (Wayback Machine, screenshots with timestamps)
3. Career Reconstruction #
When reconstructing an individual’s professional history:
- Cross-reference company registries with stated employment periods
- Verify corporate roles through official filings (director appointments, beneficial ownership)
- Check for temporal overlaps or gaps that contradict public statements
- Document corporate connections (shared directors, parent/subsidiary relationships)
4. Corporate OSINT #
When analysing corporate structures:
- Map ownership chains from beneficial owner to operating entities
- Identify jurisdictional arbitrage (entities in different countries for regulatory advantage)
- Cross-reference registered addresses with actual operations
- Verify financial claims against filed accounts where available
5. Cross-Verification Matrix #
Each claim must pass through multiple independent verification paths:
| Path | Method | Confidence Contribution |
|---|---|---|
| Registry | Official corporate/government records | +40% |
| Archival | Web archives, cached versions | +25% |
| Publication | Press coverage, industry reports | +20% |
| Social | Professional profiles, public statements | +15% |
A claim achieves high confidence when registry + at least one other path converge.
Quality Criteria #
- Provenance: Every factual assertion traces to a specific, citable source
- Timeliness: Sources dated; staleness flagged when data is >2 years old
- Independence: At least 2 sources that are not derived from each other
- Completeness: Gaps in the record are explicitly documented, not papered over
- Reproducibility: Another researcher could follow the same steps and reach the same conclusions
Methodology in Practice #
This framework is applied throughout Lucerna case studies. See OSINT Case Study: Iterative Employment Verification — Subject-Delta Technical Profile for a detailed three-phase case demonstrating iterative cross-verification, timeline reconstruction, and edge case handling in professional due diligence.