Glossary

What is prompt privacy?

Prompt privacy is the practice of reducing prompt-level exposure before data reaches an AI model. It governs what sensitive values are allowed to cross from an application into the prompt body that an LLM provider actually receives.

Definition

Prompt privacy is the practice of reducing prompt-level exposure before data reaches an AI model. It governs what sensitive values are allowed to cross from an application into the prompt body that an LLM provider actually receives.

Definition

Prompt privacy — short definition

Why it matters

Why this matters

Every LLM call is a data egress event. Prompts routinely carry names, emails, identifiers, ticket bodies, source code and internal documents — content that would not normally be sent to a third-party API without review. Prompt privacy is the technical layer that intercepts this before egress.

Every LLM call is a data egress event. Prompts routinely carry names, emails, identifiers, ticket bodies, source code and internal documents — content that would not normally be sent to a third-party API without review. Prompt privacy is the technical layer that intercepts this before egress.

How it works

How it works

A user produces a prompt. The gateway detects sensitive entities, masks them with deterministic placeholders, forwards the masked prompt to the LLM provider, and rehydrates placeholders in the response before returning it to the user.01User02Prompt03Detection04Masking05Provider06Rehydration
Prompt Privacy flowSensitive values are masked before egress and rehydrated on the return path.

Framework

Prompt privacy process

  1. 01

    Detect

    Identify supported sensitive entities in the prompt body before any provider call.

  2. 02

    Mask

    Replace originals with deterministic placeholders so the provider only ever sees masked content.

  3. 03

    Rehydrate

    Restore originals inside the gateway on the way back, then discard the per-request mapping.

Implementation

Learn how this works in Privian

From definition to implementation, docs and architecture — the same idea at different layers.

FAQ

Frequently asked questions

Is prompt privacy the same as data privacy?
No. Data privacy is a broad legal and operational discipline covering how personal data is collected, stored and used. Prompt privacy is a narrow technical control focused on one specific surface — the prompt body — in the moment it leaves the application.
Is prompt privacy the same as AI security?
No. AI security is the broader program (model abuse, infrastructure, output handling, governance). Prompt privacy is one discipline inside it, scoped to what the model receives.
Is prompt privacy a compliance certification?
No. Prompt privacy is a technical control. It complements compliance work but does not certify HIPAA, SOC 2, PCI or any other framework on its own.
What does prompt privacy not address?
Prompt injection, content moderation, model hallucination, downstream misuse and governance decisions. Each is a separate problem with its own controls.

Where to go next

From definition to implementation

This entry is part of the Privian content library. If you are evaluating how this concept is implemented in practice, the links below are the most direct paths.

Related product

Prompt Security in Privian

Prompt-level controls — masking, structural validation and BYOK routing — applied before any provider call.

Open product page →