Toil

What Toil Means in Security Operations

Toil is work that is repetitive, manual, and low in enduring value, but still consumes time and attention. In security and identity operations, it often appears when teams keep executing the same approvals, corrections, reconciliations, or recovery steps because the underlying workflow is not automated end to end.

Toil is not simply “busy work.” It is a signal that a process still depends on human execution for tasks that should be deterministic, repeatable, and auditable. That matters because the more time skilled staff spend on routine handling, the less capacity they have for exceptions, investigation, control improvement, and higher-risk decisions.

Why Toil Emerges

Toil usually grows where systems are fragmented, ownership is unclear, or workflows cross too many tools and teams. A request may start in one system, require validation in another, and end with manual updates elsewhere, creating repeated handoffs and re-entry. The work is often legitimate, but the path is inefficient.

It also appears when exceptions become the norm. If onboarding, access changes, account recovery, or review escalations cannot be completed reliably through standard controls, teams build human workarounds that eventually become the default operating model. Over time, the process starts to depend on a small set of people who know how to keep it moving.

That dependency is a practical risk because toil tends to hide in plain sight. A process can look “operationally successful” if tickets are closed, while the real cost is absorbed through context switching, delays, and avoidable manual effort.

Where Toil Shows Up in Identity and Security Work

In identity and security operations, toil is most visible in access reviews, onboarding, account recovery, exception handling, and recurring evidence collection. These are areas where the organisation needs control and traceability, but still relies on humans to stitch together records, approvals, and remediation steps.

When recurring tasks are handled manually, the process often becomes inconsistent. Different operators may interpret the same case differently, approvals may vary by team, and the resulting records can be incomplete or harder to audit. That inconsistency is one reason repetitive operational work eventually creates governance drag as well as efficiency loss.

Toil is especially costly when the same work is repeated because the workflow cannot complete itself. If a step exists only to compensate for missing integration, missing policy logic, or missing data quality, the manual action is masking a structural problem rather than solving it.

Why Toil Matters

Toil matters because it scales poorly. A process that consumes a few minutes per case can become a major burden when it repeats across thousands of users, applications, or exceptions. It also increases the chance of error, since manual handling is more fragile under pressure, handoffs, or staff turnover.

For security teams, the deeper issue is that toil competes with judgment. Time spent rekeying data, chasing approvals, or reconciling lists is time not spent on anomaly detection, control tuning, or incident response. In practice, persistent toil can slow the organisation’s ability to absorb change, enforce policy consistently, and respond to real risk.

It can also distort control design. If a control only works because people manually rescue it, the organisation may mistake labor for resilience. A durable security process should reduce repeatable human effort, not depend on it.

Related resources from NHI Mgmt Group

• Why do AI-driven alert investigations reduce analyst toil and improve response speed in cloud environments?
• How do identity and SOC programmes both suffer from control toil?
• What is the difference between automation that reduces toil and automation that improves security governance?
• Why do identity governance programmes still leave so much manual toil in place?