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RAG Assurance

Test that your AI assistant shows each user only what they may see, and forgets what you delete.

In your AWS accountRuns in CIEarly access

Four test suites for retrieval-augmented generation on Amazon Bedrock Knowledge Bases or any HTTP RAG endpoint. Run them nightly in your account or in your CI pipeline, with signed results.

Who it's for

Teams running an internal assistant or a customer-facing RAG feature on Amazon Bedrock, and teams moving off Amazon Kendra or Amazon Q Business.

When teams call us

A security review asking whether one department can read another's files through the assistant, a GDPR erasure request, a model or chunking change before release, or a Kendra migration.

What it does

Inside RAG Assurance

Access-control leak tests

Test identities and canary documents, probed with direct, paraphrased, prompt-injection and enumeration queries.

Silent failures caught

E-mail mismatches that hide documents, slow group changes, sources without access control, and requests without user context.

Erasure verification

Shows that a deleted document can no longer be retrieved, by exact and semantic probes, with timestamps.

Quality gate

Retrieval recall and ranking, faithfulness, citations, refusals and injection resistance, with thresholds that fail the build.

Finnish and Swedish sets

Golden question sets in English, Finnish and Swedish come with the product.

Migration parity

Compares a new Bedrock knowledge base with Amazon Kendra or Amazon Q Business on your real queries.

What you receive

On every run

  • A self-contained HTML report
  • Results (JSON) and findings (CSV)
  • A signed manifest, stored under S3 Object Lock
  • A check summary in GitHub when it runs in CI

How it works

Step by step

  1. 01

    Describe the target

    Your knowledge base, or an HTTP endpoint through a small adapter, plus test identities and canary documents (the tool can generate them).

  2. 02

    Choose suites and thresholds

    Access, erasure, quality and parity, each with its own pass mark.

  3. 03

    Run

    Nightly in your account, or as a GitHub Action on every change.

  4. 04

    Act on findings

    Leaks are marked critical; a failed threshold stops the release.

Built on AWS

The AWS services it uses

  • Amazon Bedrock Knowledge Bases
  • Amazon Bedrock
  • AWS Step Functions
  • AWS CodeBuild
  • Amazon EventBridge Scheduler
  • Amazon SNS
  • Amazon S3 Object Lock
  • AWS KMS
  • Amazon Kendra
  • Amazon Q Business

Your data

Runs in your account. Reports keep document text out, apart from short snippets, unless you turn it on. The judge model can be limited to the EU. Nothing is sent to CloudNerve.

Scope, stated plainly

What it does not do

  • Certify your system or give legal advice; it produces assurance evidence
  • Fix your access lists or delete documents for you; you delete and sync, it verifies
  • Trace erasure in vector stores other than S3 Vectors, OpenSearch Serverless and Aurora pgvector

Questions

Common questions

Does it need production data?
No. Access and erasure tests use canary documents with known access lists, which the tool can generate.
What does a run cost?
Judge calls run on Bedrock in your account. Results are cached by content hash, and a cost estimate is printed before each run.
Can it gate our releases?
Yes. In CI it returns a failing exit code and a GitHub check summary when a threshold is missed.

See RAG Assurance on your own AWS data.

Book a free Intro Call with a CloudNerve architect, or ask us anything about how it would fit your accounts.