Customers
Detecting threats inside the perimeter
Proud to partner with leading security teams, all the way from scale up teams to enterprise security functions, who don’t want to search through the noise.
Modern security programs depend on deception as a core control, and Tracebit delivers it at the highest level.
Chief Information Security Officer
Canary-based detection is a critical layer in Docker’s defense-in-depth strategy. Tracebit makes deploying and managing deception at scale practical.
Chief Information Security Officer, Docker
The Tracebit platform delivered on their promise of low friction and low noise. We were able to quickly and confidently roll out Tracebit!
Head of Security, IT & Compliance
Tracebit’s platform enables high fidelity alerts, is quick to deploy, easy to maintain and secure by design. Their solution delivers actual value and is getting better by the day.
Head of Security
We deployed something like a few hundred canaries within our environment, and it took… a few minutes. It’s been pretty seamless for us.
Lead SOC Analyst
As part of our comprehensive, multi-layered security model, Tracebit provides the vital, dynamic detection layer.
VP Security and CISO
“Tracebit’s platform enables high fidelity alerts, is quick to deploy, easy to maintain and secure by design. Their solution delivers actual value and is getting better by the day.”
Synthesia’s security team operates under a clear assumption: prevention will eventually fail. They deploy Tracebit canaries as part of their Assume Breach strategy, to give them a high-confidence detection layer, so that they can act with speed.
“As part of our comprehensive, multi-layered security model, Tracebit provides the vital, dynamic detection layer. It ensures that if an attacker compromises the perimeter, we gain immediate, high-fidelity visibility into any attempt at lateral movement, neutralizing their advantage at the point of action.”
Zepz’s security team leverages Tracebit to gain visibility across cloud infrastructure, surface insider risk, and build a scalable detection layer without growing headcount.