Governance-Aware Agent Telemetry for Closed-Loop Enforcement in Multi-Agent AI Systems
Abstract
Enterprise multi-agent AI systems produce thousands of inter-agent interactions per hour, yet existing observability tools capture these dependencies without enforcing anything. OpenTelemetry and Langfuse collect telemetry but treat governance as a downstream analytics concern, not a real-time enforcement target. The result is an "observe-but-do-not-act" gap where policy violations are detected only after damage is done. We present Governance-Aware Agent Telemetry (GAAT), a reference architecture that closes the loop between telemetry collection and automated policy enforcement for multi-agent systems. GAAT introduces (1) a Governance Telemetry Schema (GTS) extending OpenTelemetry with governance attributes; (2) a real-time policy violation detection engine using OPA-compatible declarative rules under sub-200 ms latency; (3) a Governance Enforcement Bus (GEB) with graduated interventions; and (4) a Trusted Telemetry Plane with cryptographic provenance.
Keywords
Cite
@article{arxiv.2604.05119,
title = {Governance-Aware Agent Telemetry for Closed-Loop Enforcement in Multi-Agent AI Systems},
author = {Anshul Pathak and Nishant Jain},
journal= {arXiv preprint arXiv:2604.05119},
year = {2026}
}