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Data Encryption and Sensitive Data Controls

Sensitive data controls help teams capture useful operational telemetry while protecting prompts, completions, user content, identifiers, and regulated fields.

What This Feature Does

Anosys supports sensitive data handling patterns such as field minimization, content redaction, encrypted transport, encrypted storage, access controls, audit trails, and enterprise encryption controls.

When To Use It

Use these controls when AI systems process customer data, regulated data, internal code, healthcare, financial, legal, security, or business-confidential information.

Prerequisites

  1. Classify which fields are sensitive.
  2. Decide what should be captured, redacted, hashed, excluded, or encrypted.
  3. Define who can access sensitive telemetry.
  4. Coordinate enterprise controls with your security team.

Step-By-Step Setup

  1. Start with field minimization: send only what you need for debugging and operations.
  2. Add redaction rules before ingestion for sensitive payloads.
  3. Use metadata fields for operational analysis when raw content is not needed.
  4. Apply access controls and ownership.
  5. Monitor redaction state and policy violations in governance views.
  6. For enterprise deployments, configure advanced encryption and retention controls with the AnoSys team.

Example Redaction Pattern

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redaction:
  fields:
    - prompt
    - completion
    - user_email
  preserve:
    - workflow
    - model
    - token_count
    - latency_ms
    - eval_score
    - cost_usd

What Appears In The Console

Console records show redaction status, safe metadata, policy status, audit trails, and links to traces or process units without exposing protected fields to unauthorized users.

Common Mistakes

  • Sending raw content when metadata is enough.
  • Redacting after data has already been exported.
  • Giving every user access to sensitive trace details.
  • Treating encryption as a substitute for data minimization.