What question did this study set out to answer?

The aim is to enhance governance in multi-agent AI systems through structured tenant management and isolation.

March 26, 2026Open Access

APR-Lite Phase 7.0 Technical Note: Multi-Tenant Governance and Cross-Tenant Isolation in Regulated Multi-Agent AI Systems

Key Points

The aim is to enhance governance in multi-agent AI systems through structured tenant management and isolation.
Introduction of tenants as governance subjects at the coordination layer
Creation of a tenant_config table for ceilings, conditions, scopes, and permissions
Implementation of tenant isolation assertions at stateful handler entry points
Validation against an extensive smoke test suite
Successful blocking of requests from unregistered or non-compliant tenants
Imposition of tenant ceilings on resource policies
Explicit validation of cross-tenant isolation through tests

Abstract

This technical note describes Phase 7. 0 of the APR-Lite governance platform: Multi-Tenant Governance and Cross-Tenant Isolation. Phase 7. 0 introduces tenants as first-class governance subjects at the agentic coordination layer. A tenantconfig table stores per-tenant ceilings, freeze conditions, allowed scopes, and topology permissions. A tenant isolation assertion fires at the entry point of every stateful handler, blocking requests from unregistered, suspended, frozen, or provisioning tenants before any database query executes. Tenant ceilings are applied to memory policy and routing topology, ensuring that per-resource policies never exceed tenant-level constraints. The implementation is validated against an 18-test smoke suite including explicit cross-tenant isolation tests with a second active tenant (TENANTHEALTHCARE₂). Global scope and coalition learning are deferred to Phase 8.

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