About this investigation
Full audit trail of how this report was produced — target identification, analytical techniques applied, tools that ran, gaps recorded, and the schema and skill versions used. Reproducibility is a forensic posture.
In-Q-Tel
Independent American not-for-profit venture capital firm that identifies and partners with companies developing advanced technologies for US national security.
- Not-for-profit strategic investor for CIA and US Intelligence Community
- Founded in 1999, originally called Peleus
- Based in Tysons, Virginia
- Domain registered February 16, 2003
Investigation Metadata
ProvenanceAnalytical Methodology
Structured analytic techniques · ICD 203Identity, currency, completeness, source-integrity, and intentionality assumptions stress-tested. Identity assumption is HIGH-confidence (cross-corroborated across RDAP, ARIN, Wikidata, OpenAlex, SEC EDGAR). Currency assumption flagged on legacy prefixes (192.132.59.0/24, 2001:668:112::/47) → fed into kj_007. Completeness assumption is moderate — internal-tooling surface mapped via CT logs but operational-reachability not probed (forbidden by opsec).
Three thesis-level hypotheses tested: (H1) mature security posture with exposures intentional/low-risk; (H2) mixed posture with uneven business-unit security; (H3) systemic gaps. H1 is the leading hypothesis (lowest weighted-inconsistency total) given DMARC p=reject, Duo zero-trust, internal-ELB-only addressing. H2 retains marginal support from the legacy single-first-name mailbox (linda@iqt.org) and the .ai WHOIS leak — surfaced as kj_003 + r_03 + r_04.
Six-month failure modes considered: (1) the legacy prefix is actually live via non-standard routing (kj_007 LOW confidence); (2) the WHOIS leak is incidental rather than systematic (r_04 mitigation is structural); (3) the Duo MFA assumption could fail if phishing-of-MFA primitive is added — bounded kj_003 to moderate confidence.
Org target with non-trivial surface (147 entities, 61 relationships); Red Hat constructed seven vectors (r_01-r_07) prioritized by impact. Highest-impact vector is credential-stuffing the named C-suite (r_01) given the breach-corpus hit rate. Lowest-effort vector is pretexting via the .ai WHOIS leak (r_04).
Coverage
Schema v1.0Tools Engaged
39 enabled · 28 fired · 0 gapsha256:aefa872dffcd75bb23ca573b49e3a55be5730c6f7345bb36e59294abb8c515bb