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Regulated teams often want AI help, but the useful context is exactly the context they cannot paste into a third-party provider unchanged. PasteGuard gives these teams a local or self-hosted privacy layer before requests leave their environment.

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Common Status Quo

Teams usually choose one of these options before adopting a privacy layer:
  • Avoid cloud AI for sensitive work
  • Redact client or production data manually
  • Switch to a local model even when a cloud provider would give better results
  • Build one-off masking code inside each app
PasteGuard is designed to replace that manual step with a consistent control point.

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Who It Fits

PasteGuard is useful when sensitive values appear in normal AI work:
  • Finance and banking work with customer or transaction context
  • Legal and advisory work with privileged or client-confidential material
  • Healthcare-adjacent operations with patient or provider details
  • Insurance, accounting, consulting, HR, and recruiting work
  • Regulated SaaS teams handling logs, support tickets, and production context

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Product Paths

Browser Chat

Browser extension beta for ChatGPT, Claude, and Gemini.

Apps & APIs

Apps, SDKs, internal AI products, and provider-compatible APIs.

Coding Agents

Codex, Claude Code, logs, tickets, codebase context, and secrets.

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Deployment Model

PasteGuard can run locally for individual use, or self-hosted for team and infrastructure use. Use local or self-hosted deployment when your team needs tighter control over:
  • Where private values are processed
  • Which provider receives masked requests
  • What request metadata is logged
  • How sensitive requests are routed to local models
  • How masking rules are configured
PasteGuard can help keep sensitive values out of prompts before they reach a provider. Your legal, security, and compliance controls still decide whether a workflow is production-ready.

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What To Validate In A Pilot

For a regulated pilot, validate the trust questions before adding more features:
  • Can users complete real work without manual redaction?
  • Do they understand which values stayed local?
  • Do they trust the restoration flow?
  • Do they need local, self-hosted, or managed deployment?
  • Which logs and audit exports are required before production use?
Start with Local-First Privacy, then connect the path your team uses most: Browser Chat, Apps & APIs, or Coding Agents.