Sign inGet started
Paper · arXiv

Governance-Aware Vector Subscriptions for Multi-Agent Knowledge Ecosystems

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 independ...

AuthorsSteven Johnson
Primary categorycs.AI
Published21 March 2026
Last updated at source27 March 2026
cs.AI
Embed this entry
<iframe src="https://silytics.si/embed/item/898260b5-41d1-46a0-846c-b789e3291a71" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Silytics shows public metadata from arXiv and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.