Airlock is an MCP server. LLM agents query a per-user, PII-masked DuckDB snapshot of your production data, generated inside your VPC. Read-only. Your prod credentials never leave your network.
How it works
Airlock provisions a read-only, PII-masked DuckDB mirror inside your infrastructure — scoped to a single agent session, time-limited, and erased at the end. Production credentials and raw rows never leave your VPC.
Two unsafe defaults
If you want to ship an AI feature that touches real user data, the field forks at the agent: hand it your database, or hand-roll a tool for every question. Airlock is a third path.
One prompt injection drains your database.
You ship the questions, not the agent.
Free-form SQL on a per-user, masked, ephemeral snapshot. Nothing the agent does touches prod.
Why the gateway model fails
One stolen credential unlocks every model and every customer's data.
Self-hosted proxies ship with every upstream zero-day already loaded.
Logs, caches, fine-tunes — every gateway hoards PII forever.
Capabilities
Deterministic tokenization preserves joins. Agents never see a real SSN, email, or PAN.
5-minute default TTL, configurable per-tenant. Snapshots live in tmpfs; a worker exit wipes them.
Every query, every column, hash-chained.
The worker runs inside your VPC and reads your source DB over a read-only role. The control plane never sees a connection string.
Sits between the agent and the data — not between the agent and the model.
For developers
Airlock is an MCP server. Point your LiteLLM proxy — or any MCP client — at it, and your agent picks up execute_sql, get_schema, null_rates against your masked snapshot.
$ litellm --config litellm.yaml --port 4000# Add Airlock as an MCP server in your gateway
mcp_servers:
airlock:
url: "$${AIRLOCK_CP_URL}/mcp/$${AIRLOCK_TENANT_SLUG}"
transport: http
auth_type: bearer_token
auth_value: os.environ/AIRLOCK_API_KEYCompliance
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