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SONOMOS Privacy at the point of creation.

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We build local-first privacy infrastructure for AI. Our tools detect and mask sensitive databefore it reaches any AI model. Everything runs on your device. Nothing leaves your machine unscreened.

The problem

Every prompt is a potential data leak. Developers paste code with API keys. Users share documents with client names. Teams discuss strategy with internal numbers. AI sees everything, and there is no undo.

Our approach

We intercept at every surface where data meets AI — browsers, desktops, MCP tool calls, agent workflows — and apply detection and masking locally, before transmission. No cloud. No server-side scanning. No trust required.


Public Projects

Canary — PII exposure counter for Claude Code

Counts every piece of sensitive data you expose across all sessions. 16 regex detectors with real checksum validation plus 70+ semantic categories via Claude self-scan. Local-only, zero config. The number only goes up.

/plugin marketplace add sonomos-ai/Canary-Plugin
/plugin install canary@sonomos

What We're Building

Surface What it does Status
Locke On-device sensitive data detection with format-preserving encryption, image pipeline (face/NSFW/OCR redaction), cognitive firewall In development
"Named Entity Recognition Validation Engine" An open-source, deterministic NER benchmark testing harness for evaluating sensitive data detection In development
Canary PII exposure counter for Claude Code — shows what you have already leaked Public

Everything local. Everything on-device. No exceptions.


Contributions welcome.

sonomos.ai

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datasets 0

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