Governance-Aware Vector Subscriptions for Multi-Agent Knowledge Ecosystems

TL;DR

This paper presents governance-aware vector subscriptions that integrate semantic matching with multi-dimensional policy constraints to ensure compliant notifications in multi-agent knowledge ecosystems.

Contribution

It introduces a formal mechanism combining semantic similarity with policy predicates grounded in legal frameworks, implemented in AIngram and validated on a synthetic benchmark.

Findings

The mechanism enforces all policy constraints while delivering authorized content.

No single policy dimension alone guarantees full compliance.

The approach effectively balances content delivery with regulatory adherence.

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.