Altare surfaces the behavioral signals that sanctions-list screening cannot see: research network trajectory shifts, disclosure gaps, undisclosed foreign affiliations. Keep research open. Keep it compliant.
Research security officers, vice presidents of research, and designated school officials facing the July 2026 certification.
For universities →Chief security officers, insider-threat, and M&A due-diligence teams protecting strategic IP and sponsored labs.
For enterprises →"Is this person on a list?" is a binary check. It catches the obvious and misses everything that matters: researchers whose research networks shift toward defense-linked institutions over time, whose publication record names foreign affiliations never declared on a grant form, whose shadow lab appears only in non-English journals.
That is the behavioral gray zone. It's where real incidents live, and it's the analytical territory the existing tools explicitly concede.
Six stages turn open data into a structured risk memo: confidence levels, alternative hypotheses, and intelligence gaps in the format research security officers already brief up.
Open academic sources and professional open-source data, aggregated and kept current.
Author disambiguation and cross-lingual identity reconciliation.
Temporal collaboration graph with institutional risk mapped onto it.
Declared disclosures compared against the observed record.
Calibrated risk probability grounded in documented cases.
A structured risk memo: findings, alternative hypotheses, confidence.
Start with Module 1 for network and disclosure intelligence; layer on lifecycle, compliance, and counter-influence as your program matures.
Research network trajectory analysis, disclosure verification, critical-and-emerging-tech sensitivity, and shadow-lab detection across academic and open-source data.
Pre-arrival screening, ongoing monitoring, departure documentation. The first integrated designated-school-official and research-security-officer workflow.
Section 117, NSF Notice 149 MFTRP, UK NSI Act, Canada NSIA. Auto-generated regulatory memos; audit trail throughout.
Pre-approach talent recruitment detection, coordinated inauthentic behavior in academic publishing.
Imperial College London described its partnership with Jiangsu Automation Research Institute as civilian ocean modeling. A 2018 Chinese-language email from JARI's research head, surfaced only via Freedom of Information, asked for help on data-visualization tools for "smart military base(s)." The military end-use was never translated into the English record.
Altare would have surfaced it upstream, from the open record, before any FOI request was required.
Pernin et al. (March 2026) describe research security risk assessment as a checklist review. Altare automates that review and adds the one thing the framework lacks: signal weighting grounded in documented ground-truth cases.
Research outputs, pre-publication IP, sponsored-lab leakage.
Disclosure verification against the observed record.
Audit trail, structured memos, defensible thresholds.
~131 U.S. R1 institutions receiving >$50M federal R&D must certify compliant Research Security Programs or lose eligibility. Altare gives you the detection, the audit trail, and the regulatory memos, without an eighteen-month build.
Vet academic partners. Screen founders pre-acquisition. Monitor sponsored university labs for leakage. Altare gives CSOs, insider-threat, and M&A due-diligence teams the same analytical engine the public sector uses, without the classified-system overhead.
We scope with your research security officer or chief security officer, ingest one department or portfolio, and deliver a structured risk read-out on real researchers, not demo data.