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A RAG API can be designed so that it never receives a user’s password and never holds the authority to sign tokens. That is a worthwhile separation of duties, because it keeps two of the most sensitive secrets in the stack out of the component that talks to your vector index and language model. It does not secure the pipeline by itself. The API still has to authorize each request and each retrieved chunk, and it still has to treat retrieved text and model output as untrusted.
What the title promises, and what it leaves open
The title makes two negative claims, and each is narrower than it sounds.
- No password visibility. Passwords are entered into an identity service. The RAG API never receives them, so it has no password to log, cache or leak.
- No token-signing authority. The API never holds the key material or the service that creates tokens. It can check tokens it receives, but it cannot mint new ones.
The title does not claim that bearer tokens never reach the API. In most request-response designs the client presents a token with each call so the API can check it. The accurate statement is that the API handles tokens for verification only. The title also says nothing about your identity provider, token format, session approach, key management or deployment topology. Those are implementation choices, and each one needs an owner who can document it.
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Treat the system as three roles with separate jobs. One component can play more than one role, but the separation only holds if the combined component still follows the rules for each role.
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The identity service handles passwords
This component presents the login form or receives the credential, verifies it, and establishes who the user is. OWASP’s Developer Guide advises against storing passwords in code or configuration. Where an application does persist passwords, the same guide recommends hashing and salting them. In this design, any such storage belongs in the identity service, never in the RAG API.
The token authority issues and signs tokens
After authentication, the token authority issues a token containing the claims the rest of the system relies on, such as subject, tenant, scopes or roles, and expiry. It signs the token with a private key that only this component can use. Key custody, rotation and storage are implementation questions the title leaves open, and they need a named owner.
The RAG API verifies, then authorizes
The API receives the token with each request, checks its signature and standard claims against trusted key material, and then decides whether this caller may perform this operation on this data. Verification does not require the ability to sign.
Rank #2
Why verifying a token is not the same as signing it
Whether the API truly lacks signing authority depends on how it verifies. With asymmetric signatures, the token authority signs with a private key and the API checks with the matching public key, which cannot create valid tokens. With a symmetric scheme such as HMAC, the verification key and the signing key are the same secret, so any service that verifies tokens can also mint them. A design that says the API never signs tokens but verifies with a shared symmetric secret does not meet the title’s promise, whatever the documentation says. This is a general cryptographic point rather than a finding from the guidance cited in this article, and it should be checked against any real design.
What the API must still authorize
Authentication establishes identity. Authorization decides what that identity may do, and a valid token does not answer that question on its own. OWASP’s REST security guidance makes the same point: a valid credential that lacks the required scope or role should be refused, and assessments should test that case. For each request, the API should confirm the following.
- Every operation checks the scope or role it requires, rather than only checking that the token is valid.
- Tenant and user identity come from claims in the verified token, never from fields the client can edit in the request body or query string.
- Document access is checked for each document or chunk, not just for the endpoint that was called.
- Administrative operations, such as reindexing or changing document permissions, have their own authorization checks.
Why retrieval is a separate data boundary
A RAG pipeline moves content through several stages, and each one can cross a trust boundary. OWASP’s AI Security and Privacy Guide, in its “RAG systems overview,” describes a five-stage flow: ingestion, indexing, retrieval, augmentation and generation. Its central warning for the retrieval side is cross-authorization disclosure. The system retrieves a chunk the requesting user should not see, and the model then repeats it in an answer. The model has no independent way to know who should see what. If a chunk reaches its context, the model will use it.
Rank #3
The table pairs each stage with its main trust risk and the control category OWASP’s RAG Security Cheat Sheet names for it.
| Stage | Main trust risk | Control category named in OWASP guidance |
|---|---|---|
| Ingestion | Poisoned or unauthorized documents enter the corpus | Restrict who can add content; guard against document poisoning |
| Embedding and vector storage | Unrestricted index writes; embeddings and stored text expose sensitive content | Restrict index writes; treat embeddings as sensitive; attach permission metadata to each chunk |
| Retrieval | Chunks from documents the caller cannot read are returned | Filter by permission before retrieval where possible; keep caches permission-scoped |
| Augmentation | Instructions hidden in retrieved text (prompt injection) | Treat retrieved content as untrusted input |
| Generation | Unvalidated output that discloses or misstates content | Validate generated outputs before they are used |
| Agent and tool integration | Model-chosen actions beyond the user’s rights | Constrain tool actions; enforce tool authorization independently of the model |
Permission metadata has to follow each chunk
Documents are split into chunks before indexing, and retrieval returns chunks, not documents. If a chunk loses the access rules of its parent document, the index has no way to enforce them later. OWASP’s guidance calls for permission metadata on each vector chunk and for filtering before retrieval where possible. Filtering after a chunk has been returned to the application is weaker, because restricted text has already moved into a process that may log, cache or pass it on.
Caches and fallbacks can widen access
Two failure paths need explicit design. A response cache keyed only on the question, and not on the caller’s permissions, can serve one user’s answer to another. A fallback that runs when retrieval fails can also leak access if it queries the full index without the permission filter. OWASP’s guidance warns about both cache leakage across users and unsafe fallback behavior when retrieval fails. Define the fallback in advance and make sure it is no broader than the normal path.
Rank #4
- API Security in Action
- Manning Publications
- ABIS BOOK
Browser token isolation is a separate concern
If the client is a browser application, the question of where tokens live is on the client side. RFC 10017, “OAuth 2.0 for Browser-Based Applications,” discusses isolating tokens from the application’s execution context and from shared persistent storage. Keeping the RAG API out of token signing does not answer that question, and the RFC does not prescribe the architecture described in this title. Evaluate browser-side token storage as its own decision.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.Model output and tool calls are untrusted
OWASP’s RAG Security Cheat Sheet states the point directly:
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“The model generates text — it does not enforce policy.”
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The surrounding guidance is that policy filters, authorization, output validation and tool controls must be enforced by the application rather than delegated to the model. In practice this means three things.
- Validate generated output against the format the application expects before it is shown or stored.
- Treat retrieved text as data. A chunk that says “ignore your rules” is content to be handled, not an instruction the system must follow.
- When the model requests a tool action, validate the request against a schema and check the user’s authorization inside the tool service, not inside the prompt.
Review questions for your system
Use these questions to check a design or an implementation. They are prompts for review, not evidence that any particular system already meets them.
- Which component receives the password, and do logs, proxies or analytics ever record it?
- Who can read the signing key, including backups and deployment pipelines?
- Where do scopes, roles and tenant identity come from, and is each one taken only from verified claims?
- Are indexing pipelines and vector-store writes limited to named services?
- Who decides what happens when retrieval fails, and does that path ever widen access?
What the evidence does and does not establish
The guidance behind this article is OWASP’s RAG Security Cheat Sheet, its AI Security and Privacy Guide, its REST Security Cheat Sheet and Developer Guide, and RFC 10017 on OAuth for browser-based applications. These documents describe security controls and failure modes. None of them tests this API design, and none provides a benchmark, deployment report or prevalence figure for this architecture. Treat the design as a set of controls to verify in your own system, not as a proven outcome.
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