Governance-Aware Vector Subscriptions for Multi-Agent Knowledge Ecosystems

• URL: http://arxiv.org/abs/2603.20833v2
• Date: Fri, 27 Mar 2026 11:58:36 GMT
• Title: Governance-Aware Vector Subscriptions for Multi-Agent Knowledge Ecosystems
• Abstract summary: We introduce governance-aware vector subscriptions, which composes semantic similarity matching with multi-dimensional policy predicates grounded in regulatory frameworks.<n>Agents subscribe to semantic regions of a curated knowledge base; notifications are dispatched only for validated content that passes both the similarity threshold and all applicable policy constraints.<n>We validate the mechanism on a synthetic corpus (1,000 chunks, 93 subscriptions, 5 domains)
• Score: 0.0
• License: http://creativecommons.org/licenses/by-sa/4.0/
• Abstract: As AI agent ecosystems grow, agents need mechanisms to monitor relevant knowledge in real time. Semantic publish-subscribe systems address this by matching new content against vector subscriptions. However, in multi-agent settings where agents operate under different data handling policies, unrestricted semantic subscriptions create policy violations: agents receive notifications about content they are not authorized to access. We introduce governance-aware vector subscriptions, a mechanism that composes semantic similarity matching with multi-dimensional policy predicates grounded in regulatory frameworks (EU DSM Directive, EU AI Act). The policy predicate operates over multiple independent dimensions (processing level, direct marketing restrictions, training opt-out, jurisdiction, and scientific usage) each with distinct legal bases. Agents subscribe to semantic regions of a curated knowledge base; notifications are dispatched only for validated content that passes both the similarity threshold and all applicable policy constraints. We formalize the mechanism, implement it within AIngram (an operational multi-agent knowledge base), and evaluate it using the PASA benchmark. We validate the mechanism on a synthetic corpus (1,000 chunks, 93 subscriptions, 5 domains): the governed mode correctly enforces all policy constraints while preserving delivery of authorized content. Ablation across five policy dimensions shows that no single dimension suffices for full compliance.

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