Our Mission
Blekline is dedicated to accelerating AI adoption by building the governance layer that makes AI safe to use at scale. Intercepting risk at the moment a prompt is sent, before it ever reaches a model or a sandbox.
Blekline started as a simple observation: the teams we talked to weren't worried about AI being too powerful. They were worried about losing control of it quietly. A customer detail pasted for context. Credentials dropped into a debugging session.
Sensitive data included in a draft. Nobody making a mistake on purpose, just people moving fast, doing their jobs, in a world where the model is always listening.
Audit logs catch it too late. Training programs depend on everyone being perfect. Neither scales. So we started building the thing that was missing: a control layer that lives in the prompt itself, not after it.
That became Blekline. An MCP ingress control plane that sits between your agents and everything downstream, masking sensitive data, enforcing tool policy, and logging every call before anything reaches a model API or a sandbox. Not a dashboard you check on Fridays. Something that works in the background, every time, without slowing anyone down.
We're open core. The server, proxy, and SDK are open source. The cloud adds fleet policy, authoritative PII masking, and investigations for teams that need them.
The idea was always simple: enterprises shouldn't have to choose between moving fast with AI and keeping sensitive data in control. We're building the infrastructure that makes both true at once. Move fast with AI. Not risk.
Sensitive data included in a draft. Nobody making a mistake on purpose, just people moving fast, doing their jobs, in a world where the model is always listening.
Audit logs catch it too late. Training programs depend on everyone being perfect. Neither scales. So we started building the thing that was missing: a control layer that lives in the prompt itself, not after it.
That became Blekline. An MCP ingress control plane that sits between your agents and everything downstream, masking sensitive data, enforcing tool policy, and logging every call before anything reaches a model API or a sandbox. Not a dashboard you check on Fridays. Something that works in the background, every time, without slowing anyone down.
We're open core. The server, proxy, and SDK are open source. The cloud adds fleet policy, authoritative PII masking, and investigations for teams that need them.
The idea was always simple: enterprises shouldn't have to choose between moving fast with AI and keeping sensitive data in control. We're building the infrastructure that makes both true at once. Move fast with AI. Not risk.
