Implement Openid Connect

Published
Length
3 min read

Luis Felipe Dias

All posts

To implement openid connect, register your app with an identity provider and exchange login codes for signed JSON tokens. Your app then checks those tokens to confirm who the user is before granting entry. Most teams set up this flow to unify logins across internal tools and cloud services. Still, teams often map these logins to broad roles that give users too much power once inside. How to implement openid connect in your architecture OpenID Connect sits on top of the OAuth 2.0 protocol. It

OpenID Connect (OIDC): the complete guide

Architecture patterns, implementation strategies, and security best practices. Delivered to your inbox.

Free white paper. No spam. Unsubscribe anytime.

To implement openid connect, register your app with an identity provider and exchange login codes for signed JSON tokens. Your app then checks those tokens to confirm who the user is before granting entry. Most teams set up this flow to unify logins across internal tools and cloud services. Still, teams often map these logins to broad roles that give users too much power once inside.

How to implement openid connect in your architecture

OpenID Connect sits on top of the OAuth 2.0 protocol. It adds an identity layer so your app knows who is logging in. First, you register your app with your identity provider to get a client ID and secret. You also define the callback URL where the provider will send users after they log in.

When a user tries to log in, your app sends them to the identity provider. The user enters their password and completes a second factor check there. After a good login, the provider redirects the user back to your callback URL with a short code. For single-page apps or mobile tools, teams add a proof key step to stop attackers from stealing that code.

Your backend server then sends that code to the provider over a secure backchannel. In return, the provider sends back an ID token and an access token. The ID token is a signed JSON structure that holds user details like an email and group list. Your app fetches the public keys from the provider to check the token signature. It also checks that the issuer name, target audience, and expiration time are all valid.

What native identity setup solves and what it misses

A clean OpenID Connect setup solves the problem of scattered passwords across your company. When someone leaves the team, you disable one central account to cut off their app logins. Your apps no longer need to store password hashes or build custom password reset pages. You also get one central place to enforce multi-factor checks before issuing any token.

Yet this login flow only answers who the person is at the front door. Once the app checks the ID token, it maps the user to a local role. In many databases, cloud consoles, and internal dashboards, those roles stay static and broad. An engineer in the backend group gets full read and write permissions for the whole session.

OpenID Connect (OIDC): architecture patterns and best practices

Continue reading? Get the full guide.

Free. No spam. Unsubscribe anytime.

OpenID Connect does not see or control what that user does inside the session. It cannot stop an engineer from running a dangerous drop table query in production. It cannot inspect a query result to mask emails, phone numbers, or card numbers before they hit the screen. If a token has a long life, a role change at the provider will not stop active sessions right away.

How to tighten token handling and role scopes

Teams should keep ID token and access token lifetimes very short. Short lifetimes force the app to check in with the identity provider more often. You can use refresh tokens to get new tokens in the background while checking if the user is still active. Always store tokens in secure, HTTP-only cookies rather than browser storage to prevent script theft.

You should also limit the group claims you pass inside the token. Map each group claim to the smallest set of permissions needed for daily work. Even with tight group claims, login tokens alone cannot govern live commands or filter sensitive data fields in flight.

Check database and API queries on the wire

Identity tools, roles, and network rules decide who opens a session. Setup alone cannot check what each query does or mask sensitive values in a response once a session starts. When workflows touch Postgres, MySQL, SQL Server, MongoDB, ClickHouse, Kubernetes APIs, SSH, or internal HTTP APIs, hoop.dev runs beside those services as an open-source proxy, a sidecar for your Postgres or API. It inspects requests coming in and results going back on the wire.

Your login details and client tools stay as they are while hoop.dev guardrails refuse bad deletes or drops before they run. On responses, hoop.dev data masking rewrites matched sensitive values in memory. Furthermore, hoop.dev holds SOC 2 Type II, is MIT licensed, and writes every query and decision to an audit trail that generates evidence for HIPAA, GDPR, and PCI DSS. See the source on GitHub.

Frequently asked questions

How is OpenID Connect different from OAuth 2.0?

OAuth 2.0 is a framework that lets one app grant permission to another app. OpenID Connect builds on OAuth 2.0 to verify user identity through a signed ID token.

What claims must my app check in an ID token?

Your app must check the cryptographic signature using the provider's public keys. It must also check the issuer, the audience client ID, and the expiration timestamp.

Does OpenID Connect control database queries or shell commands?

No, OpenID Connect only verifies user identity at login time. It does not inspect, log, or block individual queries or commands after the session starts.

Save the open-source gateway.

hoop is MIT-licensed infrastructure for controlling how AI agents reach production data. Star hoophq/hoop so you can inspect it, deploy it, or share it when your team starts governing agent access.