# Corp Filter: per-tenant control over which documents are in play

> Corp Filter scopes retrieval per tenant, ensuring each draws only on the documents it's entitled to.

**Category:** Audit & Compliance
**Author:** NeuralSeek Team · **Published:** June 9, 2026
**Canonical:** https://neuralseek.ai/ai-grounded/corp-filter
**Section index:** https://neuralseek.ai/ai-grounded

Corp Filter is one of NeuralSeek's Audit & Compliance guardrails — part of the platform's 118 individually configurable, fully auditable controls. In regulated, high-volume AI, the difference between a system you can trust and one you merely hope works comes down to specific, tunable controls exactly like this one. Here is what Corp Filter does, why it matters to the business, and how to set it for your own environment.

## What it actually does

This applies a per-tenant corporate document filter, controlling which documents are eligible for retrieval. It scopes the knowledge available to each tenant.

## Why business teams care

Different tenants and teams should only draw on the documents they're entitled to; a corporate filter enforces that boundary. It keeps retrieval within governed scope.

## How to tune it in practice

Define filters that match each tenant's entitlements. Audit them as document access policies change.

## Common failure modes it prevents

When a regulator or risk team asks why the AI did something, 'we're not sure' is not an acceptable answer. Corp Filter closes that gap directly. By making the behavior an explicit, enforced control rather than something left to chance, it converts a latent risk into a managed, observable event — one that surfaces in the audit trail instead of in a customer complaint or a compliance finding.

## Where it fits in the stack

It governs the system of record, capturing and exporting an attributable trail of every change and decision. Because it lives in NeuralSeek's governance layer rather than inside any single model, the control holds identically whether a request routes to OpenAI, Anthropic, Gemini, Llama, Mistral, IBM watsonx, or an in-house model.

## Compliance built in, not bolted on

With versioning, redaction, and SIEM-ready export native to the platform, audit readiness is a default state rather than a project you scramble to assemble before a review.

> Access control belongs in retrieval, not just storage.

## The takeaway

Corp Filter scopes retrieval per tenant, ensuring each draws only on the documents it's entitled to.

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From NeuralSeek's AI Grounded — practical, web-verified guidance on building governed, grounded enterprise AI. NeuralSeek is the model-agnostic, governed AI platform you own: any LLM (swap with no rebuild), your data in your own tenant (cloud or on-prem), 118 guardrails enforced before any action, one container that runs anywhere.