SSO List
You build an sso list by cataloging every app and data store your team uses. Next, you link those systems to your main login provider using open standards. Most teams start by grouping users by job title in their central directory. When these groups get broad roles, one user can change or delete critical production data. A clear inventory helps you spot these wide permissions before an accident happens. How an sso list works in your stack An sso list acts as the single source of truth for tea
Cross-Domain SSO: the complete guide
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You build an sso list by cataloging every app and data store your team uses. Next, you link those systems to your main login provider using open standards. Most teams start by grouping users by job title in their central directory. When these groups get broad roles, one user can change or delete critical production data. A clear inventory helps you spot these wide permissions before an accident happens.
How an sso list works in your stack
An sso list acts as the single source of truth for team login rules. Your security team writes down every web app, cloud console, and database in one place. Then, admins link each system to a central identity provider like Okta or Entra ID. When an engineer tries to log in, the target tool asks the provider for proof. The provider checks the user status and sends back a signed digital token.
This token holds the user name and their current group memberships. The target system reads the token and maps those groups to local roles. For example, a developer group might map to a read-only role in Postgres. A platform team group might map to a full admin role in your cloud console. You manage all these links from your central directory instead of twenty separate tools. When someone leaves the company, you disable one account to cut off all logins.
Why group mapping needs careful design
Many teams rush the role design phase when they add tools to their directory. They create one generic engineering group and give it broad rights across all systems. This shortcut saves time during setup, but it creates huge risks later on. Every person in that group gets the same high power in every linked tool. A junior developer might get the power to drop tables in a live database.
Good directory design splits groups by both team task and data risk level. You can make separate groups for test databases and live customer data stores. Admins then link the live data group to strict review steps in the directory. Users must ask for approval before they join that special group for an afternoon. Still, group rules only work up to the moment the database accepts the user.
Cross-Domain SSO: architecture patterns and best practices
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What an sso list solves and what it misses
A complete sso list stops password sharing and removes stale accounts across your company. Your team does not need to store raw database passwords on their work laptops. Security reviewers can check one central dashboard to see who can log in where. This setup handles the front door check very well for every tool you own. Still, identity providers stop watching once the user passes that initial login check.
Your login provider only decides who starts a session, not what happens next. Once inside a database, a user can run any query their local role allows. The identity provider cannot see individual SQL statements or shell commands in flight. It cannot block a bad delete command or rewrite sensitive fields in query results. If a query returns customer emails or card numbers, those values show up in plain text. To control live queries and mask fields like phone numbers, you need runtime checks.
Add runtime guardrails and masking beside your databases and APIs
Login rules, role grants, and CI checks govern who connects to your stack. Yet any allowed script, engineer, or AI agent still runs commands with the full scope of its role. For workloads on Postgres, MySQL, SQL Server, MongoDB, ClickHouse, Kubernetes, SSH, or internal HTTP services, hoop.dev sits beside the service as an open-source proxy, a sidecar for your database or API.
Before a query runs, hoop.dev guardrails check the statement against your rules. An AI Analyzer you configure can score intent or hold risky calls for human review. Next, hoop.dev data masking rewrites sensitive fields in responses, and each verdict is logged per listener. Explore the MIT-licensed project on GitHub.
Frequently asked questions
What belongs on a company sso list?
Your list should include every web app, cloud console, code host, and data store. Do not leave out internal admin tools or staging databases that hold real data. Tracking every system helps you close old accounts fast when team members leave.
How do databases use single sign-on tokens?
Modern cloud databases can read identity tokens directly from your central login provider. The database checks the token signature and matches the user to a local role. Older databases often need a helper tool from the cloud vendor to check tokens.
Does single sign-on hide sensitive data in query results?
No, single sign-on only checks who the user is at the start of a session. Once logged in, the user gets whatever raw data their database role can read. Rewriting national IDs or emails in results requires a separate tool that inspects traffic.