Multi-Tenant Isolation: Running 50 Teams Through One Gateway Safely
A shared LLM gateway serving multiple teams creates a surface area for cross-tenant data exposure that most teams underestimate. Prompt content, response data, usage metrics, and even model behavior can leak between tenants without proper isolation.
The Isolation Challenge
In a multi-tenant gateway, these vectors exist:
Prompt leakage — Team A's proprietary context appearing in Team B's responses
Cache poisoning — Shared caches returning responses from the wrong tenant
Budget interference — One team's spending affecting another's rate limits
Observability crossover — Logs and traces mixing between tenants
SpiderGate's Isolation Architecture
Namespace Separation
Every team operates in a completely isolated namespace:
Separate API keys and authentication
Isolated routing configurations
Independent model allowlists
Per-namespace rate limits and budgets
Request Isolation
Each request is tagged with a tenant identifier at the gateway edge:
Tenant context never crosses namespace boundaries
Cache lookups are scoped to the requesting tenant
Logs are partitioned by tenant ID
Data Plane Isolation
Prompt content is never stored in shared buffers
Response caching uses tenant-scoped cache keys
Embedding indexes for semantic caching are per-tenant
Audit logs are cryptographically separated
Compliance Features
For regulated industries:
Data residency — route specific tenants to region-locked providers
Retention policies — per-tenant data retention and deletion schedules
Access controls — role-based access to tenant configuration
Audit trails — immutable logs of all cross-tenant access attempts
Performance Impact
Isolation adds overhead, but SpiderGate minimizes it:
Namespace lookup: < 0.1ms (in-memory hash)
Cache scoping: < 0.5ms additional latency
Total isolation overhead: < 1ms per request
Multi-tenant isolation is available in SpiderGate Enterprise. Contact sales for configuration.