Cloud and On-prem Identity

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3 min read

Luis Felipe Dias

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You manage cloud and on prem identity by linking your local directory to a cloud provider. This setup lets users log in everywhere with one set of keys and roles. Most teams start by syncing local user groups to their cloud accounts. Still, broad group roles often give engineers too much power on sensitive databases and servers. How cloud and on prem identity works A hybrid setup starts with a single source of truth for user accounts. Many companies run a local directory inside their own data

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You manage cloud and on prem identity by linking your local directory to a cloud provider. This setup lets users log in everywhere with one set of keys and roles. Most teams start by syncing local user groups to their cloud accounts. Still, broad group roles often give engineers too much power on sensitive databases and servers.

How cloud and on prem identity works

A hybrid setup starts with a single source of truth for user accounts. Many companies run a local directory inside their own data center. Others use a modern cloud directory as their main hub. A sync tool copies user names and groups between these two systems on a schedule.

When an engineer logs in, the main directory checks their password and second factor. It then creates a signed assertion that proves who the user is. The cloud platform reads this trust assertion and maps the user to an account role. Local servers also check the same user group before they allow a remote login.

Database admins can map these directory groups to internal database roles as well. Instead of making local database passwords for each person, the database trusts the central directory. When someone leaves the team, admins disable one main account. That single change blocks login attempts across both local hardware and cloud platforms.

What native directory sync solves and what it misses

Unifying your directories solves account sprawl across your company. Admins do not need to manage separate user lists in five different places. Users only remember one strong password and use one phone app for login checks. Audit teams can also review group memberships in one central dashboard.

Still, directory sync only controls who can open a session at the front door. Once a user logs into a database or server, the directory steps back. The identity system cannot see the specific queries or shell commands that run next. If a role allows write actions, the user can drop tables or read raw data.

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Shared group roles make this blind spot much worse for security teams. Teams often assign ten developers to the same broad admin role to save time. Native identity logs show when a session started, not what each command did in flight. Also, returned query results can expose sensitive fields like emails, phone numbers, and card numbers.

How to tighten hybrid roles and permissions

Start by splitting large team groups into smaller, task-based roles. Create separate roles for reading data, changing schemas, and running server maintenance. Do not sync local domain admin groups directly to cloud superuser roles. Keep those high-level admin accounts separate from daily work accounts.

Next, require short session lifetimes for every role that touches production data. When a token expires fast, an old session cannot keeps the session active all week. You should also review role bindings every month to remove unused group permissions. Finally, pair your login rules with controls that inspect commands and mask sensitive fields in results.

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

Should our local directory or cloud directory be the main source?

Use the system that links directly to your human resources tool as your main source. When HR updates a job title or status, that main directory updates every linked system.

Local servers can still check cached group rules or talk to local domain controllers. Still, cloud apps will block new logins until the network link comes back online.

Does directory sync hide sensitive data inside production databases?

No, directory sync only decides who can log in and which database role they get. To protect emails or card numbers in results, you need query-level data masking rules.

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.