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Air-gapped code security review with a self-hosted model

An air-gapped code review has to keep three things local: your source, the model that reads it, and the tool that checks it. RedMirror Reflection is already the last piece: its verify kernel runs on your machine and uses no tokens, so it never egresses your source. The one component that can still leak your code is your agent's model. Run the agent on a self-hosted model, and the whole review loop stays inside your enclave.

What does an air-gapped code review actually require?

It is easy to say "nothing leaves my network" and hard to make it true. Self-hosted-LLM guides are blunt about it: a full air-gap requires configuring every component of the setup, not just one. For an AI-assisted security review the loop has three parts that can each carry your code out: the source files on disk, the model your coding agent calls to reason about them, and the tool that checks the code for bugs. If any one of the three reaches a remote service, the enclave has a hole, and the most common hole is the model, not the scanner. Getting to a genuine air-gap means accounting for all three, and being honest about which of them you have actually kept local.

Which part of the loop is the real egress risk?

The model. Most coding agents default to a hosted API, so every time the agent reads or reasons about your code, that code is sent to Anthropic, OpenAI, or Google to get a completion back. That is a real egress, and no amount of "offline scanning" downstream undoes it, because the code already left through the model. The checking tool is the part people worry about, but it is usually the easier part to keep local. RedMirror Reflection's verify kernel does not call a model at all for the check: it runs a compiled state-space search on your machine and returns a proof or a counterexample. So Reflection adds zero egress. The only remaining leak is the agent's model, and that is the piece a self-hosted model fixes.

How does RedMirror Reflection close the air-gap?

Reflection is an MCP server your coding agent drives. The agent proposes a suspected bug; the compiled kernel returns a concrete, replayable attack path, or a bounded proof that none exists. The kernel runs locally and uses no tokens, so the verification step never touches the network and never sends your source anywhere. That makes Reflection the component the air-gap guides say is hard to get right, already configured for no egress. To make the whole loop local, you supply the other piece: run your agent on a self-hosted model instead of a hosted API. Then source, model, and checker are all inside your enclave.

Component of the review loopWhere it runsDoes your code leave?
Your source filesOn your diskNo, they stay where they are
Coding agent on a hosted model (Claude, GPT, Gemini API)Vendor cloudYes, your code is sent to the model vendor
Coding agent on a self-hosted model (Ollama, vLLM, LM Studio)Your hardwareNo external API calls
RedMirror Reflection verify kernelYour machineNo, no source egress and no tokens

The takeaway is simple: the scanner is not the leak, the model is. Reflection is the no-egress verifier; a self-hosted model is what turns "mostly local" into a true air-gap.

When should you use it, and when not?

Use it when your code cannot leave the network at all, or leaves only under strict control: regulated stacks, classified or export-controlled work, and proprietary code you refuse to hand a model vendor. The pairing gives you an AI-driven review where source, model, and checker are all local, and every finding is a proof you can replay rather than an opinion you have to trust. It is a fit only if you actually run a self-hosted model: if your agent still calls a hosted API, Reflection alone keeps the verification local but not the whole loop, and your code still reaches the model vendor. It is also not a secrets or dependency-CVE scanner; pair it with tools built for those. For teams that need local review without a full enclave, see on-prem AI code security and scanning code without sending it to a vendor.

How do you set up a fully local loop?

Serve an open model locally, point your MCP-capable agent at it, then wire in Reflection. From then on you ask the agent to "verify this change" and it reports only what the kernel proves, with no external API calls in the loop.

ollama serve &                                         # or vLLM / LM Studio serving Qwen, DeepSeek, Llama
# point your MCP-capable coding agent at the local model, then:
curl -fsSL https://dist.redmirror.io/install.sh | sh   # macOS / Linux
redmirror-reflect license activate <your-key>
redmirror-reflect init claude                          # or cursor, codex, gemini, pi, dsh, ci

On Windows, install with irm https://dist.redmirror.io/install.ps1 | iex. Licence activation is the one network touch; it carries your key, never your code. See running security review with a local LLM for the model-side setup, and the docs for per-editor wiring.

Frequently asked questions

Does an air-gapped AI code review mean nothing leaves my enclave?

Only once every component of the loop is local. Three things can touch your code: your source files, the model that reads them, and the tool that checks them. RedMirror Reflection's verify kernel is already local and uses no tokens, so it never egresses your source. The remaining risk is your coding agent's model, which a hosted API sends your code to. Run the agent on a self-hosted model and the whole loop stays inside your network.

Which component is the actual egress risk?

The coding agent's model. When your agent runs on a hosted API such as Claude, GPT, or Gemini, it sends your code to that vendor to get a response, and that is the egress. Reflection's kernel does not use a model at all for the check, so it adds no egress; swapping the agent's hosted model for a self-hosted one closes the last gap.

What self-hosted model stack closes the air-gap?

Serve an open model locally with Ollama, vLLM, or LM Studio running Qwen, DeepSeek, or Llama, and point any MCP-capable coding agent at it. The agent proposes suspected bugs and drives Reflection to prove them, all on your own hardware, with no external API calls.

Can a small local model still find real bugs?

Yes. The kernel, not the model, decides what counts as a finding, so a smaller self-hosted model cannot flood you with false positives; it only needs to propose a suspected bug for the kernel to prove or refute. See our compiler-graded benchmark and the DeepSeek-harness write-up.

Does RedMirror Reflection need internet to verify?

No. The verify loop runs offline on your machine. Licence activation and validation are network calls that carry your licence key, never your source code; the checking itself needs no network and no tokens.

How is this different from just scanning code offline?

Scanning offline keeps the checking tool local, but if your coding agent still calls a hosted model, your code has already left through that model. The full air-gap needs the model local too. Reflection is the verification piece that never egresses; pairing it with a self-hosted model closes the loop end to end.

Sources and related reading