Enterprise Search Security and Permissions
Enforce access control across every document source without leaking sensitive information or slowing down search.
Enterprise search indexes documents from dozens of repositories — HR systems, finance drives, customer databases, engineering wikis. Each source has its own permission model. A naive search engine returns everything it indexed, regardless of who should see it. The result is a compliance disaster: an employee types a query and sees salary data, unreleased financials, or patient records they have no right to access.
OpenBase enforces source-system permissions at query time. When a user searches, the engine checks their access rights against every document before returning results. No caching stale permissions. No leaking data across tenant boundaries. No manual redaction rules that break when your org chart changes. The search index respects the same access control your source systems already enforce, so compliance teams can audit search activity with the same tools they use for file access.
Problem & solution
Search engines that ignore permissions
Traditional search platforms index everything they can reach, then return results based on relevance alone. They do not check whether the person searching has permission to see a document in its original system. This creates a permission escalation vulnerability: anyone with search access can discover sensitive information by guessing keywords. Compliance teams cannot prove that search respects data governance policies, because the search layer operates independently of the access control enforced at the source.
Permission-aware indexing and query-time filtering
OpenBase indexes documents alongside their access control metadata — who can read them, which groups have access, which attributes trigger visibility. At query time, the search engine evaluates the current user's identity and group memberships against every document's permission rules before including it in results. This happens in real time, so permission changes in the source system take effect immediately in search. The engine supports RBAC, ABAC, and dynamic inheritance from federated identity providers, so it adapts to the access control model your organization already uses.
What you see after 90 days
- Zero unauthorized document disclosures in search results across all indexed sources
- Audit logs that map every search query to the user's identity and the documents they accessed
- Permission changes in source systems reflected in search results within seconds
- Compliance reports that prove search respects GDPR, HIPAA, and SOX data access requirements
- Multi-tenant deployments where one customer's data never appears in another's search results
Who benefits most
- Security teams enforcing least-privilege access across federated data sources
- Compliance officers proving that search does not bypass data governance policies
- IT leaders deploying search in regulated industries where unauthorized access triggers fines
- SaaS operators running multi-tenant search infrastructure where data leakage ends contracts
Frequently asked questions
How does permission checking affect search performance?
Permission evaluation happens in parallel with relevance scoring, so latency increases by 10-50ms depending on the complexity of your access control rules. The engine caches group memberships and attribute lookups to minimize repeated identity provider calls. For most deployments, users do not notice the difference.
What happens if a user's permissions change while they are searching?
The next query they issue reflects the updated permissions. OpenBase does not cache permission decisions across queries, so revoked access takes effect immediately. If a user loses access to a document between opening search results and clicking a link, the source system blocks the request when they try to open the file.
Can OpenBase enforce permissions from multiple identity providers in the same search index?
Yes. The engine federates identity across SAML, OAuth, and LDAP providers. Each document is tagged with the identity provider that controls its access. At query time, the engine resolves the user's identity in the relevant provider and applies the corresponding permission rules. This allows search to span acquisitions, partner integrations, and legacy systems without forcing a single identity standard.
How do you prevent data leakage through search result snippets?
The engine applies permission checks before generating snippets. If a user does not have access to a document, it does not appear in results at all — no title, no snippet, no metadata. For documents with mixed sensitivity, you can configure field-level permissions so the snippet shows only the parts of the document the user can read.
What audit information does OpenBase log for compliance reporting?
Every search query logs the user's identity, timestamp, query text, documents returned, and documents clicked. Permission denials are logged separately with the reason the document was excluded. Logs are immutable and include cryptographic signatures so auditors can verify they have not been tampered with. You can export logs in formats required by GDPR, SOX, and HIPAA auditors.
How does multi-tenant isolation work in shared search clusters?
Each tenant's documents are indexed in a logically separate partition with cryptographic tenant identifiers. The query engine verifies the tenant ID in the user's session token before executing the search. Cross-tenant queries are rejected at the API layer before reaching the index. Tenant isolation is enforced in the storage layer, the query layer, and the audit log, so a misconfiguration in one layer does not compromise the others.
Can I use attribute-based access control for documents with complex permission rules?
Yes. OpenBase supports ABAC policies that evaluate user attributes, document attributes, and environmental context at query time. For example, you can restrict financial documents to users in the finance department who are accessing from the corporate network during business hours. ABAC policies are expressed in a declarative language that your security team can audit without reading code.
What happens if the identity provider is unavailable during a search query?
The engine fails closed: it returns no results rather than bypassing permission checks. You can configure a grace period where the engine uses cached group memberships for a limited time, but this requires explicit opt-in and logs every query that relied on cached permissions. Most deployments choose to fail closed because the compliance risk of returning unauthorized results outweighs the availability cost.
In this cluster
Hub: enterprise-ai-search