PromptBrake can now run inside your infrastructure
We just added a new Enterprise self-hosted deployment option to PromptBrake.
You can now run PromptBrake within your own infrastructure so that sensitive prompts, AI traffic, and scan activity remain within your environment.
The goal was simple: make AI security testing possible without your data leaving your box.
Still focused on keeping PromptBrake lightweight and easy to use — just with more deployment flexibility for teams that want private/local deployments.
Would love feedback from people building AI products, internal copilots, chatbots, or LLM-powered apps.
That self-hosted move is the right call. For AI security work, "does the data leave my box?" is the real buying question, not just a feature checkbox. I think the same trust logic applies to DictaFlow's hybrid setup, local speed when it can, cloud only when it needs to. Enterprise buyers care about that separation more than we like to admit.
Exactly. We realized pretty quickly that for AI security testing, deployment trust matters as much as the scan itself.
Many teams are fine with testing features in the cloud, but security validation is different when real prompts, internal copilots, customer data, or production workflows are involved.
That’s what pushed us toward the self-hosted option — keeping the testing close to where the AI system actually runs.
This self-hosted move is the right direction. For AI security testing, the deployment model is part of the trust layer, not just a pricing tier. If a team is scanning sensitive prompts, internal copilots, agent flows, or production AI traffic, “runs inside your own infrastructure” is probably the line that makes the product feel enterprise-ready.
I’d make that the main positioning: not just lightweight prompt testing, but private AI security testing where sensitive AI behavior never leaves the customer environment.
The only thing I’d watch is the PromptBrake name. It is clear for the current wedge, but it may feel feature-specific if the product expands into broader AI security, governance, and traffic inspection. For that harder enterprise security-infra direction, Davoq.com would carry the brand with more weight.
Really appreciate this feedback. The point about the deployment model becoming part of the trust layer really clicked with me.
Many teams want to test sensitive prompts, internal copilots, or customer-facing chatbot flows without that data leaving their environment. That’s a big reason we started pushing harder into the self-hosted direction.
We’re increasingly thinking about PromptBrake as: “test the AI endpoint you actually ship — inside your own infrastructure.”
And yeah, fair point on the naming too. Right now, PromptBrake still feels aligned with the current focus on pre-release AI endpoint and chatbot testing, but it’s definitely something we'll consider as the product grows.
One practical thought here.
Since you are already moving toward self-hosted AI security testing, this may be worth pressure-testing before the category gets too fixed around “PromptBrake.”
I do focused naming/positioning audits for early security and AI products: current name risk, category framing, domain perception, enterprise trust signal, and whether the brand can hold up as the product expands beyond the first wedge.
For PromptBrake, the key question would be whether buyers should remember it as a prompt-testing tool, or as private AI endpoint security that runs inside their own infrastructure.
That distinction affects landing copy, enterprise perception, and the naming layer.
It is not a long consulting thing. Just a sharp written breakdown with practical recommendations.
I’m doing a few of these at $99 while refining the format. If useful, connect here and I can put together a clear outside read:
https://www.linkedin.com/in/aryan-y-0163b0278/
That positioning is much stronger.
“Test the AI endpoint you actually ship, inside your own infrastructure” makes the trust promise clear without needing a long explanation.
The naming question probably comes down to where you want the product to be remembered.
PromptBrake works if buyers see it as pre-release prompt or chatbot testing.
But if the roadmap moves toward broader endpoint security, traffic inspection, governance checks, and production AI assurance, the word “Prompt” may start narrowing the perceived category before buyers understand the full system.
That matters especially in enterprise security, where the brand needs to feel like infrastructure, not just a testing utility.
I would not force a rename now, but I’d watch how technical buyers describe it back to you. If they say “prompt testing tool,” the name is helping. If they say “AI security layer,” the brand may eventually need more weight.
Happy to stay connected on LinkedIn if useful. This is exactly the kind of category shift worth pressure-testing as the product matures:
https://www.linkedin.com/in/aryan-y-0163b0278/