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To stop one user’s data from appearing in another user’s LLM response, enforce authorization in trusted application and data-layer code before data enters Jev state or a model prompt. Treat Jev’s assessment, confidence, and typed outputs as decision support—not permission to read or disclose records. Then isolate every place user-dependent data is retrieved, cached, stored, replayed, or returned, and verify the boundary with cross-tenant tests.
This is a system-design guide, not a report of a confirmed Jev vulnerability or customer incident. A leak can arise in an application’s retrieval, prompt construction, shared state, or response path even when Jev itself is behaving as designed.
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Why context leaks—and the rule that prevents them
Cross-user context leakage occurs when an application lets one principal’s data cross an authorization boundary. The root issue is often a mismatch between relevance and authorization: a record may be relevant to a model’s answer, but that does not mean the current user is allowed to see it. A model score, classifier result, or validly structured output cannot grant access. Keep identity and access policy in trusted application and data-layer code. Oracle Developers notes that a valid output type can still contain an incorrect judgment.
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#1 Best Overall
Trace every place data can cross a user boundary
Map the complete path from authentication to the final response. A correct database query is not enough if an old conversation, cache entry, retry record, or trace is later reused under another identity. Include every component that stores or reuses user-dependent information:
- Identity verification, tenant selection, and membership checks.
- Retrieval and database queries, including source, version, scope, deletion status, and validity window.
- Jev state construction, Jev assessment, reasoning-model calls, and tool execution.
- Logs, traces, caches, conversation records, and response delivery.
- Queues, retries, dead-letter handling, idempotency, and deduplication state.
OWASP treats databases, caches, storage, and compute as distinct isolation surfaces; review each path rather than assuming one correct check secures them all. See the OWASP Multi-Tenant Application Security Cheat Sheet.
Derive identity and tenant scope from trusted credentials
Resolve the authenticated principal and active tenant on the server using verified credentials and current membership. A tenant ID supplied in a URL, request body, header, or model output is only a selector; it is not proof of authorization. OWASP’s guidance is: “Treat client-supplied tenant identifiers as selectors only. Verify that the authenticated principal is authorized to act in the selected tenant.”
Rank #2
- Used Book in Good Condition
After checking membership, propagate the verified scope to every component that needs it. Do not allow model-generated values or untrusted request fields to overwrite that scope. JevLang describes deriving organization identity from the authorization key rather than a path value; that is a platform implementation description, not a guarantee that a separate Jev-based application inherits the same protection. See JevLang.
Authorize records before they enter model context
Apply access checks to the exact records before placing them in Jev state or a reasoning-model prompt. Where applicable, make the scope explicit: tenant, user, agent, thread, source, version, deletion status, and validity window. Preserve source and version metadata so the application can assess whether retrieved evidence applies to the current request.
Keep mandatory policy evidence mandatory even if a model chooses a different retrieval route. A customer ID or tenant claim produced by the model cannot authorize retrieval; the trusted application must enforce the scope in the query or policy check. Oracle’s examples describe tenant and scope predicates at retrieval time. See Oracle Developers.
Keep state structured and focused. Distinguish verified account facts from user-provided claims, and store untrusted user text as data rather than concatenating it into trusted instructions. Clear state organization can make decisions easier to inspect, but it does not turn a classifier into a security boundary. The Jev State Guide, marked official for Jev 1.13.0 on 2026-09-21, makes that distinction explicitly.
Enforce tenant boundaries in storage
Choose a data-isolation method that fits the threat model and operational constraints. Separate databases, separate schemas, and shared tables with row-level security (RLS) are alternatives—not interchangeable guarantees.
| Approach | Boundary and operational considerations |
|---|---|
| Separate databases | Places tenant separation at the database boundary. Account for connection management, pooling, background jobs, and operational complexity when evaluating the design. |
| Separate schemas | Separates tenant data by schema. Verify that application roles, queries, and pooled connections cannot select or retain the wrong schema context. |
| Shared tables with RLS | Requires correctly configured policies on every tenant-owned table and request roles that cannot bypass those policies. Test with the same role and connection-pooling path used in production. |
For shared-table RLS, test reused connections as well as ordinary requests: tenant context left behind on a pooled connection or a role that bypasses policy can defeat the intended boundary. JevLang documents organization-prefixed Redis keys and journal names, as well as an org_id RLS boundary. Those are details of its published implementation; they do not automatically secure another application.
Scope caches and retained conversations
Include tenant and every authorization-relevant dimension in a cache key whenever a cached value could differ by user or tenant. But key separation is not an access check: authorize before returning a cached value. Test cache hits and invalidation after tenant switches, logout, permission changes, and revocation. OWASP specifically recommends testing the complete cache path.
Conversation history and traces also need ownership and revocation rules. Bind them to the correct user and organization; store the sources a conversation depends on or revalidate those sources before continuing. Decide what happens when access is revoked so an old conversation cannot expose content the user can no longer read. JevBox describes a reference design that binds conversations to user and organization, rechecks dependencies, and avoids cross-user prompt/result caches. That is a project-specific design, not a universal Jev guarantee. See JevBox.
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A shared queue is not an isolation boundary. For tenant-scoped asynchronous work, bind verified scope to the trusted producer and broker path, then authenticate and authorize again at the consumer. Scope retry records, dead-letter access, idempotency keys, and deduplication keys whenever their stored data or effects vary by tenant. Otherwise, a retry or replay can cross a boundary even if the original request was properly authorized.
Best Value
Prove isolation with cross-tenant negative tests
Use at least two tenants with distinct canary records—unique test content that makes accidental exposure observable. Run the tests through the ordinary application role, production-equivalent connection pooling, and the complete cache path. Check not only final answers but every intermediate and retained surface.
- Create canary records for each test tenant and verify that authorized same-tenant retrieval works.
- Authenticate as one tenant and attempt to retrieve, continue, replay, or cache-hit the other tenant’s canary. Confirm the request is denied or returns no foreign record.
- Inspect retrieved passages, Jev state, model inputs, tool calls, answers, traces, logs, and response headers for the foreign canary.
- Repeat after switching tenants, reusing database connections, revoking membership, changing permissions, and invalidating caches.
- Exercise asynchronous retries and replay paths, including idempotency and deduplication behavior.
- Run the suite against the actual request database role, policies, pool configuration, and cache behavior—not a more privileged test setup.
OWASP recommends testing isolation for each protected path and the complete cache path. Keep these checks as regression tests so changes to retrieval, state, storage, or retries do not silently weaken the boundary.
What to inspect when a leak is suspected
A suspected cross-user response is not, by itself, proof that Jev caused a vulnerability. Establish the failing boundary by tracing a reproducible request through identity resolution, retrieval, prompt/state construction, caches, persistence, and response delivery. Review access-control policy, connection and cache configuration, and the affected request paths; then use distinct canary records to identify where foreign data first appears.
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