Spur Intelligence, a cybersecurity firm founded in Lake Mary, Florida by two ex‑Defense Department engineers, announced a $200 million funding round led by Insight Partners. The capital will accelerate development of its platform that separates genuine human users from sophisticated bot traffic, a capability the company has been refining since its inception in 2017—well before the recent surge of generative AI tools.
The technology works by analyzing the underlying network infrastructure behind each connection rather than just the observable activity. It flags patterns associated with criminal‑grade VPNs, residential proxy networks, and other anonymization layers that malicious actors use to disguise automated requests. By continuously modeling these signals, Spur can identify fake users and potential threats even when bots employ ever‑more evasive tactics.
This matters to developers and researchers because bot interactions have now eclipsed human traffic online, as reported by Cloudflare for mid‑2026. As automated agents proliferate, traditional security measures leave a growing blind spot. Spur’s approach offers a proactive way to harden applications, protect APIs, and maintain data integrity, giving engineering teams a critical tool to stay ahead of an increasingly automated threat landscape.