Q4 2026 · United States
Cybersecurity Startups in United States to Watch, Q4 2026
4 cybersecurity startups based in United States ranked by GitHub engineering acceleration. Filtered from our broader Cybersecurity sector rankings.
| # | Company | Stage | Geo | Commits (14d) | Change | Contributors | Contrib. Growth | New Repos | Signal |
|---|---|---|---|---|---|---|---|---|---|
| 1 | NOFireAI The Context & Control Model for Production View signal profile → | Pre-seed | US | 667 | +42% | 3 | +0% | 1 | Framework migration |
| 2 | vulncheck-oss VulnCheck Open Source Contributions View signal profile → | Series A/B | US | 5 | -17% | 21 | +0% | 0 | Deceleration |
| 3 | boxlite-ai The AI agent infrastructure company. Building the backbone for the next billion users. View signal profile → | Series A/B | US | 38 | -49% | 43 | +0% | 1 | Deceleration |
| 4 | OpenCTI-Platform Open Cyber Threat Intelligence Platform View signal profile → | Growth | US | 114 | -51% | 205 | +18% | 0 | Deceleration |
Sorted by commit velocity change (14-day window, descending). Data last updated Q4 2026. Geography from GitHub org profiles.
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Frequently Asked Questions
Which cybersecurity startups in United States are showing the strongest engineering signals in Q4 2026?
In Q4 2026, NOFireAI leads cybersecurity startups in United States with 667 commits over a 14-day window (+42% change) and 3 active contributors. Across all 4 tracked United States-based startups in this sector, the average 14-day commit velocity is 206 commits. The dominant signal pattern is "Deceleration", which typically indicates significant technical migration, which often precedes a pivot or platform upgrade.
How does the United States cybersecurity startup ecosystem compare to other regions?
United States accounts for 4 of the cybersecurity startups in our tracking dataset for Q4 2026. This geographic view filters the broader sector rankings to help investors focused on United States-based deal flow identify engineering acceleration patterns within their target geography. Regional concentrations often reflect local regulatory environments, talent pools, and investor networks that shape startup trajectories differently from global averages.
How is startup geography determined in these rankings?
We derive startup geography primarily from the GitHub organization profile location field, supplemented by a manually curated enrichment database of known startup headquarters. This means startups without a public GitHub location may appear in our global sector rankings but not in geographic filters. The geographic classification uses broad regions (United States, etc.) rather than city-level granularity to provide meaningful sample sizes for comparison.