Unified Multicloud Inventory
You build a unified multicloud inventory by pulling resource lists from each cloud provider into one database. A central script reads account APIs and saves servers, databases, and roles in one table. Most teams set up cross-account read roles so a central scanner can check every cloud project. When teams grant broad permissions to these roles, one bad rule exposes many accounts at once. How a unified multicloud inventory works across providers Each cloud vendor uses a different format to tra
Unified Access Governance: the complete guide
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You build a unified multicloud inventory by pulling resource lists from each cloud provider into one database. A central script reads account APIs and saves servers, databases, and roles in one table. Most teams set up cross-account read roles so a central scanner can check every cloud project. When teams grant broad permissions to these roles, one bad rule exposes many accounts at once.
How a unified multicloud inventory works across providers
Each cloud vendor uses a different format to track servers, storage buckets, and databases. To build a unified multicloud inventory, your team needs a common data model first. This model maps each provider resource to a standard record with an owner and tag.
Next, you set up a read-only role in every cloud account you own. The scanner assumes these roles on a schedule and queries the cloud APIs. It collects details on running machines, network rules, data stores, and user roles. The collector then normalizes the data and writes it into a central database.
Platform teams query this database to find untagged servers or public storage buckets. Security teams also use this data to check which accounts hold sensitive customer records. The system updates every few hours as teams create or delete cloud resources.
What native inventory setups solve and what they miss
A central asset list solves the basic visibility problem across split cloud accounts. You can see every database, server, and role in one single place. It helps finance teams track cloud spend and helps security teams spot old resources. Native cloud roles also control who can log in and read that asset list.
Still, knowing an asset exists does not control what happens inside it. Cloud roles and asset lists only show who can log in to a system. They do not check the actual commands or queries a user runs after login. An engineer with valid database permissions can still run a bad query and drop tables.
Inventory tools also cannot rewrite sensitive fields when a user queries a production database. If a table holds emails, phone numbers, or card numbers, standard queries return raw text. Data masking rewrites matched fields in results so raw card numbers or emails do not leak. Asset lists also run on a delay and miss live sessions as they happen.
Unified Access Governance: architecture patterns and best practices
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Managing permissions and live actions across cloud resources
To reduce risk, teams must pair their asset catalog with tight runtime controls. Start by shrinking the permissions on the roles your engineers use every day. Remove broad admin rights and split roles by specific tasks and data needs.
Tag every database and server in your catalog with a clear data risk level. Mark systems that hold national IDs, emails, or phone numbers as high risk. Use those tags to decide which systems need strict approval before an engineer runs commands.
Finally, log every query and command at the moment it runs against a resource. Linking asset tags to live query logs gives your team a complete audit trail. You can see both what resources you own and how your team uses them.
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 often should a multicloud inventory update its records?
Most teams run a full scan every one to six hours to catch changes. You can also stream cloud events to update records within minutes when resources change.
What permissions does an inventory scanner need in each cloud account?
The scanner only needs read permissions for resource metadata, tags, and role lists. Never give the scanner permission to read data inside storage buckets or databases.
Does an asset inventory track what users do inside a database?
No, an asset inventory only tracks that the database exists and who owns it. It does not inspect live SQL queries, block bad commands, or mask sensitive fields.