Tracebit, a cybersecurity company that deploys security canaries to help enterprises detect intruders, has closed a Series A funding round, bringing its total investment to $25m.
The round was led by FirstMark and joined by Accel, MMC Ventures, Tapestry VC and CCL, with continued backing from existing angel investors. The raise follows an initial seed round secured in 2024, which enabled the company to significantly expand the capabilities of its platform beyond its original AWS environment to include Azure, Kubernetes, CI/CD pipelines, developer workstations and identity providers. A Community Edition was also introduced during this period to make the platform more accessible.
Tracebit has built an enterprise platform that simplifies the deployment and management of security canaries — digital decoys embedded across a company’s infrastructure that expose attackers the moment they gain access. The approach is grounded in the “assume breach” philosophy, which treats a security infiltration as an inevitability and focuses instead on rapid detection.
The company argues that when it comes to intrusion detection, the gap between identifying a threat in seconds versus months is not marginal — it is the difference between containment and catastrophe. Since its founding, Tracebit has deployed millions of canaries at companies including Riot Games, Snyk, Docker and Synthesia, thwarted red team attacks, and detected intruders across a growing number of enterprise customers.
The new capital will be used to accelerate product development and strengthen customer support across both the UK and the US, where the company has opened a new office near Union Square in New York. Tracebit is also expanding its engineering and commercial teams in London and New York. Alongside the funding announcement, the company has launched several new products: Perimeter Canaries, Deceptive Artifacts and GCP Support.
The raise comes as the cybersecurity landscape grows increasingly complex. Writing in March 2026, Tracebit’s co-founders noted that while defenders have gained access to powerful new tooling, AI-assisted threat actors are making the years ahead among the most volatile the industry has seen — reinforcing the case for canary-based detection as a core element of the enterprise security stack.
Kai, an AI-driven cybersecurity company focused on autonomous threat defence, has emerged from stealth with up to $125m in funding.
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