Finra Approved Cloud Storage
You set up finra approved cloud storage by turning on strict retention locks on your storage buckets. No regulator certifies specific cloud vendors, so your team must enforce audit storage, read-many rules yourself. Teams often build this storage layer and grant broad admin roles to engineers for support tasks. When engineers hold broad roles, they can read raw customer data or bypass retention checks during maintenance. How finra approved cloud storage works in practice Financial rules requi
Approved Cloud Storage: the complete guide
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You set up finra approved cloud storage by turning on strict retention locks on your storage buckets. No regulator certifies specific cloud vendors, so your team must enforce audit storage, read-many rules yourself. Teams often build this storage layer and grant broad admin roles to engineers for support tasks. When engineers hold broad roles, they can read raw customer data or bypass retention checks during maintenance.
How finra approved cloud storage works in practice
Financial rules require firms to keep records safe from changes or deletion for set time periods. To meet these rules, engineering teams configure object storage with strict immutability locks. When an app writes a trade record or audit log, the storage bucket locks that file right away. No user, admin, or root account can overwrite or delete the file until the timer runs out. Teams also set up an audit trail that tracks every single read and write request.
Next, you must set up identity roles that separate daily app traffic from human operators. The app gets a narrow role that can only write new files and read recent records. Auditors get a read-only role to check records during reviews. Platform engineers get admin roles to fix broken data pipelines or check system health. You also turn on encryption keys so that only permitted roles can read the stored files.
What native storage locks solve and where gaps remain
Native bucket locks stop anyone from deleting or altering archived files on disk. Cloud identity roles also control who can log in to the storage account or database. These native controls handle the basic storage rules for static files very well. They prove to auditors that past files stay whole and untouched over many years.
Still, storage locks do not control how engineers query live databases or read active buckets. Cloud roles only decide who logs in at the start of a session. They do not check individual commands, queries, or file reads while the session runs. If an engineer logs in with a read role to fix a bug, they see everything. Query results will return raw emails, phone numbers, card numbers, and national IDs in plain text. Native storage settings cannot rewrite sensitive fields in results or require approval for a single command.
Approved Cloud Storage: architecture patterns and best practices
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Closing the gap for live data and engineering sessions
To protect regulated records during live support, teams need controls at the command level. Instead of handing out permanent keys or broad roles, teams should check every query in flight. When an engineer runs a diagnostic check, the system should log the exact command and user identity. Data masking should also run on the output to rewrite card numbers and national IDs in results. This keeps customer data private while engineers fix production issues.
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 sits inline in the wire protocol beside those services as an open-source proxy, a sidecar for your Postgres or API. On every query an AI agent or engineer runs against production, hoop.dev decides to pass, mask, block, or hold it for human review.
Your login details and client tools stay as they are while hoop.dev guardrails refuse bad deletes or drops before they run, and hoop.dev data masking rewrites matched sensitive values in responses 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
Does FINRA publish a list of approved cloud providers?
No, the regulator does not certify or approve specific cloud vendors. Your team must configure your chosen cloud storage to meet strict record retention and immutability rules.
What is audit storage, read-many storage?
Audit storage, read-many storage locks a file the moment an app writes it to a bucket. Users can read the file as needed, but nobody can change or delete it before expiration.
Why do engineers still need database controls if storage is locked?
Storage locks only stop file deletion in archive buckets. Engineers still run live queries against databases and buckets, which exposes raw emails and card numbers without masking.