Security model

Protect the boundary, minimise the evidence.

RedactNode is built around a straightforward principle: sensitive content should be transformed before it reaches a public model, and operational visibility should not become a second copy of the sensitive content.

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Browser boundary

Tanda Guard checks supported public AI submissions locally. When a rule matches, the message is stopped before the provider receives it.

  • Original text stays in the browser
  • Masked copy is generated locally
  • IT details exclude the original prompt
  • Users receive immediate feedback

Protected gateway

Tanda Proxy provides the controlled path for tasks that need more than a placeholder. It separates provider access from the raw values in the original prompt.

  • Mask before external submission
  • Restore authorised responses
  • Apply configurable rules
  • Keep the workflow observable without oversharing

Safe operational records

Security and compliance teams need evidence of controls, not a searchable archive of every sensitive request. RedactNode favours metadata that supports review without recreating the risk.

  • Rule and timestamp metadata
  • Controlled audit access
  • Retention aligned to policy
  • No raw PII in support diagnostics

Security is a programme

Deploy with ownership, testing, and review. Use synthetic values during pilots, train users on the safe path, and revisit rules as your organisation adopts new AI tools.

  • Pilot with representative workflows
  • Review false positives
  • Document provider boundaries
  • Keep extension and portal versions current

Make safe AI the easy default.

Start with the workflow that fits your organisation, then add the controls your compliance team needs.

Read the getting-started guide