The execution layer is the real boundary
Most security and quality problems live where software acts — the tools it calls, the data it reaches, and the permissions it holds. We start there.
About
A security-led engineering practice.
Mochavi exists because software is increasingly trusted to act on its own — calling tools, reaching data, and changing real systems. We help teams make that layer safe, whether we are reviewing what exists or building what comes next.
We are deliberately narrow. Rather than a general software shop, Mochavi concentrates on the execution layer of sensitive systems: AI agents and the integrations, permissions, and data access that give them reach. That focus is what makes the work sharp.
The Agentic Security Review is our flagship and the easiest place to start — a focused engagement that maps how a system behaves, what it can reach, and where production risk concentrates. From there we can help close the gaps, harden adjacent systems, or build new capability with the right controls from day one.
Our thinking is public. The thread that connects everything we do is laid out in our field note on the execution layer.
What we believe
Principles we work by.
Reviews should produce change
A finding is only useful if someone can act on it. We work close to the engineering, so reviews end in fixes, not just documents.
Concrete beats impressive
No fear-driven sales, no absolute guarantees. We map real risk, prioritize it honestly, and say what we are not sure about.
Privacy is a default, not a feature
When we build, sensitive data stays where it belongs. Blobster runs entirely in your browser because that is the right default.
Operator
Mochavi is operated by Mochavi Holding B.V. For commercial questions and formal notices, see legal or get in touch.
Work with Mochavi
Have a system worth securing?
Bring us an AI agent, a sensitive production system, or a tool you need built right. We start by understanding the execution layer.
The Agentic Security Review is the sharpest place to start, and we are currently accepting a small number of pilot reviews for teams deploying agents into real workflows.
AI agentsMCP integrationsTool permissionsPrompt injectionData leakageAudit logsHuman approvalProduction readiness
See the flagship review Discuss a project