Tracebit, a cybersecurity platform specialising in security canary deployment and intrusion detection, has raised $25m in a Series A funding round led by FirstMark, with participation from Accel, MMC Ventures, Tapestry VC and CCL, alongside continued backing from existing angel investors.
The raise brings Tracebit’s total funding to $25m, inclusive of seed capital secured in 2024.
The company, co-founded three years ago, has built an enterprise platform designed to simplify the deployment and management of security canaries — decoys that are embedded across a company’s infrastructure to expose attackers the moment they gain access. The approach is rooted in the “assume breach” philosophy, which treats infiltration as inevitable and focuses instead on rapid detection.
Tracebit’s platform has since expanded well beyond its original Amazon Web Services environment to support Azure, Kubernetes, CI/CD pipelines, developer workstations and identity providers. The company has deployed millions of canaries at clients including Riot Games, Snyk, Docker and Synthesia, and says it has successfully thwarted red team attacks whilst detecting intruders across a growing roster of enterprise customers. A Community Edition has also been introduced to lower the barrier to entry for smaller organisations.
The fresh capital will be used to accelerate product development and deepen customer support across the UK and the United States, where the company has opened a new office near Union Square in New York. Tracebit is also expanding its engineering and commercial teams across both London and New York. Alongside the funding announcement, the company has unveiled several new products: Perimeter Canaries, Deceptive Artifacts and GCP Support.
The timing of the raise comes against a backdrop of growing cyber threats. With AI-assisted threat actors increasingly sophisticated, Tracebit argues the coming years will be among the most volatile the cybersecurity industry has seen — and that canary-based intrusion detection, where the difference in response time can mean the difference between containment and catastrophe, will become an essential layer of enterprise security.
Recently, Kai, a cybersecurity startup developing an agentic AI platform designed to autonomously defend enterprises from digital threats, emerged from stealth with $125m.
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