USE CASES

One privacy boundary for the places your application sends data to an LLM.

Use the same middleware pattern across support, AI agents, internal assistants, document workflows, and other applications where prompts can contain personal data or secrets.

Start free →Quickstart →

01 · CUSTOMER SUPPORT

Sanitize tickets before drafting responses.

Tickets can contain contact details, invoices, identifiers, and credentials. Inspect the text before it becomes provider context.

mario.rossi@example.com
        ↓
{{EMAIL_1}}

02 · AI AGENTS

Inspect retrieved context and tool output.

Agents assemble data from databases and tools. The same boundary can scan that context before the model call.

Tool output
  ↓
PII / secret scan
  ↓
Injection signal

03 · INTERNAL AI

Protect employee-entered business data.

Centralize privacy checks across multiple internal assistants instead of duplicating policy logic in each frontend.

Employee input
  ↓
NullTrace
  ↓
Sanitized prompt

04 · DOCUMENT WORKFLOWS

Minimize identifiers before summarization.

After extracting document text, replace values the model does not need before sending a summary request.

Invoice text
  ↓
{{IBAN_1}}
{{EU_VAT_ID_1}}

NEXT STEP

Put the privacy boundary in code.

Start with one protected request and expand from there.

Open quickstart →