Without observability, relay use becomes hard to distinguish from direct traffic, which makes troubleshooting slow and can hide degraded latency or misrouted paths. Teams also lose the ability to spot unusual forwarding patterns at scale. Good monitoring should show usage, health, and traffic volume so operators can separate normal fallback behavior from real network problems.
Why This Matters for Security Teams
Relays are often deployed to preserve availability, reduce client exposure, or bridge systems that cannot talk directly. The risk is that a relay can become a blind spot if teams cannot prove what passed through it, when, and under which identity. That turns a resilience control into an opaque forwarding layer, which weakens incident response, change validation, and auditability. NHI Mgmt Group notes that only 5.7% of organisations have full visibility into their service accounts in the Ultimate Guide to NHIs — Key Research and Survey Results, which is a useful signal for how often relay traffic is already under-instrumented.
Without observability, security teams cannot separate expected fallback behavior from malicious forwarding, misconfigured routing, or abuse of a trusted path. That matters because relay traffic often looks legitimate at the network layer even when the business logic behind it is broken. Current guidance from the NIST Cybersecurity Framework 2.0 and audit-focused NHI governance both point toward continuous visibility, logging, and accountability rather than post-incident reconstruction.
In practice, many security teams discover relay misuse only after a failed investigation has already prolonged the outage and blurred the forensic trail.
How It Works in Practice
A relay is only defensible when it emits enough telemetry to answer four questions: who used it, what it forwarded, where it sent traffic, and whether the path behaved as expected. That usually means correlating application logs, identity signals, and network flow data so relay activity can be distinguished from direct access. The control objective is not just uptime, but traceable behavior.
Effective teams usually instrument relays with request identifiers, source and destination metadata, authentication context, latency metrics, and failure reasons. They also retain audit records long enough to support troubleshooting and investigations. The Top 10 NHI Issues page is a useful reminder that visibility and lifecycle control are inseparable: if a relay or its associated NHI cannot be monitored, it cannot be governed. For implementation detail, NIST logging and monitoring expectations in NIST SP 800-53 Rev 5 Security and Privacy Controls remain a practical baseline.
- Log relay identity, source workload, destination service, and timestamp on every forwarded request.
- Track health signals such as queue depth, retries, drops, and latency percentiles.
- Separate normal fallback traffic from exceptional rerouting with clear thresholds and alerts.
- Preserve audit data so investigators can reconstruct the path without guessing.
Teams should also align relay telemetry with NHI lifecycle evidence, including provisioning, rotation, and offboarding, using the NHI Lifecycle Management Guide. These controls tend to break down in high-volume, event-driven environments because short-lived bursts can overwhelm logs and mask the exact sequence of relay decisions.
Common Variations and Edge Cases
Tighter observability often increases storage, engineering overhead, and alert noise, so organisations have to balance forensic depth against operational cost. That tradeoff is real, especially where relays sit in ephemeral infrastructure, multi-region failover, or batch processing pipelines. Best practice is evolving, but current guidance suggests that some telemetry is non-negotiable even when full packet capture is not realistic.
One common edge case is graceful failover. A relay may legitimately carry large volumes during an outage, so volume alone is not enough to indicate abuse. Another is encrypted traffic, where teams may only see metadata and identity claims, not payload content. In those cases, the most useful signals are authentication context, destination control, timing anomalies, and policy decision logs. NHI Mgmt Group’s Ultimate Guide to NHIs — Regulatory and Audit Perspectives is especially relevant because auditors typically expect evidence that forwarding decisions were traceable, not merely that the relay stayed online.
The practical failure mode is simple: when a relay is treated as a black box, teams lose both operational confidence and the ability to prove whether a path was legitimate. That is where troubleshooting, compliance review, and incident response all start to fail at once.
Standards & Framework Alignment
This section maps relevant standards and security frameworks to the operational risks and controls described in this guidance.
OWASP Non-Human Identity Top 10 and CSA MAESTRO address the attack and risk surface, while NIST AI RMF, NIST CSF 2.0 and NIST SP 800-63 set the governance and control requirements practitioners need to meet.
| Framework | Control / Reference | Relevance |
|---|---|---|
| OWASP Non-Human Identity Top 10 | NHI-06 | Observability and logging are essential to detect relay abuse and hidden NHI activity. |
| CSA MAESTRO | Agentic relay-like workloads need runtime visibility, traceability, and policy evidence. | |
| NIST AI RMF | AI RMF governance supports monitoring and accountability for systems that act without human supervision. | |
| NIST CSF 2.0 | DE.CM-1 | Continuous monitoring is directly relevant when relays can hide direct versus forwarded traffic. |
| NIST SP 800-63 | Identity assurance matters because relay audit trails depend on trustworthy workload attribution. |
Instrument relay identities and request paths so every forwarded action is attributable and reviewable.
Related resources from NHI Mgmt Group
- What breaks when healthcare teams deploy agentic AI without clear controls on data access and action scope?
- How should security teams prove that identity data is complete enough for audit use?
- How should security teams audit LLM usage without missing sensitive input data?
- What breaks when teams disable compromised accounts without blast-radius data?
Deepen Your Knowledge
Reviewed and updated by the NHIMG editorial team on August 27, 2026.
NHI Mgmt Group — the #1 independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org