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Governance, Ownership & Risk

What should teams do when trusted workflows start looking slightly unusual?

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By NHI Mgmt Group Editorial Team Updated June 27, 2026 Domain: Governance, Ownership & Risk

Escalate it as a governance signal, not just a helpdesk issue. Unusual approval chains, unexpected payment requests, or vendor behaviour that deviates from normal history can indicate pretexting or account abuse. Teams should verify the business context, inspect linked identities, and preserve evidence before the workflow completes.

Why This Matters for Security Teams

When a trusted workflow starts to look slightly unusual, the risk is often not a broken process but a compromise hiding inside normal business motion. A vendor email that arrives at an odd time, an approval chain that skips its usual reviewer, or a payment request that is technically valid but contextually off can signal pretexting, account abuse, or secret theft. NHI Management Group’s Ultimate Guide to NHIs notes that only 5.7% of organisations have full visibility into their service accounts, which means abnormal workflow behaviour is often detected late. That is why teams should treat these events as governance signals, not just helpdesk noise, and correlate them with identity, permission, and workflow evidence. In practice, many security teams encounter the real compromise only after the workflow has already completed and the attacker has moved on.

How It Works in Practice

The right response is to verify the business context before the workflow completes, while preserving evidence for later review. Teams should inspect the identities attached to the request, the approval path, the source system, and any linked non-human identities such as service accounts, API keys, or automation tokens. That matters because workflows are often executed by both people and machines, and the machine side is where hidden privilege usually sits. The NIST Cybersecurity Framework 2.0 is useful here because it pushes organisations to combine detect, respond, and recover actions instead of treating the event as a single-ticket problem. A practical triage pattern usually includes:
  • Confirm whether the request matches a known business event, project, or vendor change.
  • Check whether the approver, sender, or API client is using a new identity, device, or location.
  • Review recent secret use, token issuance, and permission changes for the linked workflow.
  • Pause or step up approval if the request is time-sensitive, high-value, or outside the normal pattern.
  • Preserve logs, messages, headers, and transaction metadata before the workflow is altered or deleted.
This is especially important for workflows that call internal tools, payment rails, or ticketing automations because a slightly unusual request can be the first sign of lateral movement through trusted systems. The NHIMG Ultimate Guide to NHIs also highlights that 97% of NHIs carry excessive privileges, which means one compromised workflow can have far more reach than the original request suggests. These controls tend to break down when approvals are fully automated, because the system can complete the transaction before a human reviewer has time to challenge the anomaly.

Common Variations and Edge Cases

Tighter verification often increases operational friction, requiring organisations to balance fraud resistance against speed, customer experience, and internal SLA commitments. That tradeoff is real, especially for finance, procurement, and IT automation where delays create business pressure. Current guidance suggests that high-risk workflows should use step-up validation, but there is no universal standard for exactly which anomalies must always pause execution. Edge cases usually appear in three places:
  • Legitimate business change: a new vendor, merger, or re-org can make a normal workflow look suspicious, so context from business owners matters.

  • Automation drift: scripts and agents may change behaviour after updates, causing a trusted workflow to deviate without malicious intent.

  • Identity overlap: a human request may be routed through a service account or integration token, making the visible workflow look clean while the underlying identity is compromised.

The safe default is to treat unexplained deviation as a reason to slow down, not to dismiss it. Where the organisation already uses the NIST Cybersecurity Framework 2.0 alongside the NHIMG Ultimate Guide to NHIs, teams can decide faster whether the event is a benign exception, a control gap, or an active abuse attempt.

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 address the attack and risk surface, while NIST CSF 2.0 and NIST CSF 2.0 set the governance and control requirements practitioners need to meet.

FrameworkControl / ReferenceRelevance
OWASP Non-Human Identity Top 10NHI-03Unusual workflows often expose weak NHI rotation and misuse.
NIST CSF 2.0DE.CM-1Anomalous workflow behavior is a monitoring and detection signal.
NIST CSF 2.0RS.AN-1Suspicious workflow deviations need structured investigation and triage.

Preserve evidence, verify context, and run incident analysis before the transaction completes.

NHIMG Editorial Note
Reviewed and updated by the NHIMG editorial team on June 27, 2026.
NHI Mgmt Group — the #1 independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org