Win enterprise customers without rebuilding your AI stack

Enterprise buyers do not block AI — they block ambiguity. The first security review is where ambiguity gets exposed: what reaches the model, what is retained, where credentials live, what happens on incident. AI startups that can answer those questions in one document close enterprise deals. The rest get stuck in a six-week questionnaire loop.

The same six questions surface in almost every enterprise security review of an AI feature. None of them require a re-architecture to answer — but they do require a clear data path and a few documented artifacts.

• First security review

  Founder-led teams meet a 100+ question security questionnaire and stall for weeks while answering it from scratch.

• Data path opacity

  Reviewers cannot trace which fields reach which provider, and the deal pauses until they can.

• Provider lock-in concerns

  Buyers do not want a vendor that pools provider credentials or hides the model behind a proprietary contract.

• Missing legal artifacts

  No DPA, no subprocessor list, no incident-response summary — and procurement cannot move forward.

• Prompt retention

  If raw prompts can be replayed, the data exposure surface becomes the buyer's exposure surface.

• Re-architecture demands

  Buyers ask for a managed-only deployment, a different region, or self-hosting — and the team has to rebuild.

Privian sits one hop between your application and the model provider. The masking, routing, rehydration and zero retention happen there — so the answers to a security review become a single, consistent story instead of a scramble across three vendors.

• Prompt Privacy

  Mask personal and sensitive values before any prompt reaches the model.

• PII Masking

  Deterministic placeholders the model can reason about — no original values exposed.

• LLM Gateway

  Provider-agnostic, BYOK, OpenAI-compatible. One endpoint for OpenAI, Anthropic, Google.

• Data minimization

  Only the fields the feature actually needs ever leave your perimeter.

• Rehydration

  Placeholders are restored on the response so your application is unaffected.

• Zero-retention architecture

  No raw prompts or responses persisted. Counters and latencies only.

A short, reusable checklist for AI startups preparing for their first enterprise security review. The full questionnaire framework lives in the AI security questionnaire and vendor due-diligence checklist articles.

• Enterprise Trust Package

  One URL to forward to security and procurement — every trust asset indexed.

• Privian Blueprint

  Single document covering data path, retention, BYOK and scope.

• Blueprint Guide

  How founders, security and procurement use the Blueprint.

• Compliance Roadmap

  Implemented, in-progress and planned controls — dated and honest.

• Trust Center

  Posture, controls, retention boundaries, customer-owned credentials.

• Data path

  Per-hop view of what enters, leaves, is retained, is visible, is deleted.

• Security

  Detailed security model and data-handling posture.

• Architecture

  How the gateway, masking and rehydration fit together.

• Prompt Privacy

  The underlying capability behind enterprise-ready AI.

• Enterprise AI procurement

  Buyer-facing reference for organizing an AI vendor evaluation.

• Pricing

  Plans and implementation options for enterprise rollouts.

What does 'enterprise-ready AI' actually mean?

It is the set of properties an enterprise buyer expects before approving an AI-powered SaaS product: a clear data path, no raw prompt retention, BYOK for the model provider, a DPA, a subprocessor list, and answers to a standard security questionnaire. Privian provides the data-handling layer of that bundle without requiring an architecture rewrite.

Do we need to change our application code?

No major change. Privian is OpenAI Chat Completions-compatible. Repointing your existing OpenAI SDK at api.privian.io/v1 with your gateway key is usually the entire integration.

Does using Privian mean Privian sees our customers' data?

Sensitive values are masked to deterministic placeholders before egress and rehydrated on the response. Raw prompts and responses are not persisted. The Trust Center and Blueprint document the data path end-to-end.

Can we keep using OpenAI / Anthropic / Google directly?

Yes — Privian is BYOK and provider-agnostic. Your provider relationship, billing and account-level controls remain yours. Privian sits one narrow hop in the request path.

What do we send to a security reviewer?

The Privian Blueprint plus links into the data path, architecture, security and subprocessor pages. Most reviewers accept that bundle as the basis for their evaluation.

Is this a replacement for Prompt Privacy?

No. Prompt Privacy is the underlying capability. 'Enterprise-ready AI' is what that capability unlocks commercially — passing security reviews and selling into enterprise faster.