Governance-Aware Agent Telemetry for Closed-Loop Enforcement in Multi-Agent AI Systems

📅 2026-04-06
📈 Citations: 0
Influential: 0
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🤖 AI Summary
This work addresses a critical limitation in existing observability tools for multi-agent systems, which merely log interactions without enabling real-time enforcement of governance policies, thereby allowing violations to be detected only post hoc. To overcome this, the paper proposes a closed-loop governance architecture that embeds governance attributes directly into the telemetry layer, introducing a Governance-aware Telemetry System (GTS). By integrating an OPA-compatible declarative rule engine, a Governance Execution Bus (GEB), and a trusted telemetry plane, the system achieves real-time policy evaluation and tiered intervention with sub-200-millisecond latency. Leveraging encrypted provenance and enriched telemetry data, GTS establishes a tight feedback loop between observation and action, significantly enhancing runtime compliance and security 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.
Problem

Research questions and friction points this paper is trying to address.

multi-agent AI systems
governance enforcement
real-time policy violation
observability gap
telemetry
Innovation

Methods, ideas, or system contributions that make the work stand out.

Governance-Aware Agent Telemetry
real-time policy enforcement
OpenTelemetry extension
declarative policy engine
cryptographic provenance
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