The share of employees who report suspicious messages more than once over a measured period. It is a behaviour indicator, not a volume metric. A rising rate suggests the organisation is earning trust and reinforcing the habit of reporting through timely and useful feedback.
Expanded Definition
Repeat Reporter Rate is a behavioural indicator that measures how often the same employee reports suspicious messages more than once over a defined period. It is not a count of alerts, tickets, or total submissions. Instead, it reflects whether people trust the reporting process enough to act again after their first report.
In security awareness programs, the metric helps distinguish one-time participation from sustained vigilance. A healthy rate can indicate that reporting flows are easy to use, that feedback is timely, and that employees understand what “suspicious” looks like in practice. A low rate does not always mean poor awareness, but it can signal friction, slow response, or a lack of visible acknowledgment. Guidance varies across vendors on the exact window used to measure repeat activity, so organisations should define the period, population, and matching logic consistently before comparing teams or campaigns. For governance context, the NIST Cybersecurity Framework 2.0 reinforces the value of repeatable reporting behaviours as part of effective detection and response maturity. The most common misapplication is treating a high repeat reporter rate as a pure training success signal, which occurs when teams ignore whether reports are being resolved, classified, and fed back quickly enough.
Examples and Use Cases
Implementing Repeat Reporter Rate rigorously often introduces attribution and timing challenges, requiring organisations to weigh behavioural insight against privacy, reporting-window design, and data-quality overhead.
- A phishing awareness team measures how many employees submit suspicious email reports in more than one monthly campaign cycle, then compares repeat behaviour before and after feedback improvements.
- A SOC uses the metric to see whether staff continue reporting after an initial false positive was acknowledged, which can show whether the reporting culture remains resilient.
- A security operations leader reviews department-level repeat reporting trends after refreshing mailbox banners and training content, then checks whether the change correlates with increased trust in the process.
- A threat operations program cross-references repeat reporters with incident timestamps to identify whether employees who reported once are also reporting later lures or spoofed internal messages.
- Teams benchmarking against the Ultimate Guide to NHIs use the same behavioural discipline when evaluating how well reporting habits support broader identity protection and early detection.
Where phishing reporting is integrated with enterprise identity tooling, definitions still vary across vendors on whether repeat reporting is tied to the same sender, the same campaign, or any suspicious item. Organisations that want comparable results should document the exact logic and keep it stable across reporting periods.
Why It Matters in NHI Security
Repeat Reporter Rate matters because human reporting is often the earliest practical signal that a credential, session, or identity workflow has been abused. In NHI security, quick escalation can shorten the time between a suspicious message and exposure of API keys, tokens, service credentials, or privileged workflows. When employees report repeatedly, it suggests the organisation is not only teaching recognition but also reinforcing action after each encounter. That matters in environments where misuse of secrets often begins with a deceptively routine message.
NHIMG research shows that 79% of organisations have experienced secrets leaks, with 77% of those incidents causing tangible damage, which underscores why repeat reporting cannot be treated as a soft metric. The Ultimate Guide to NHIs also notes that 96% of organisations store secrets outside of secrets managers in vulnerable locations including code, config files, and CI/CD tools. That reality makes user reporting a practical bridge between awareness and containment, especially when paired with a response process aligned to NIST Cybersecurity Framework 2.0. Organisations typically encounter the operational value of this term only after a report exposes a live phishing attempt or token theft, at which point Repeat Reporter Rate becomes unavoidable to assess and improve.
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.
| Framework | Control / Reference | Relevance |
|---|---|---|
| NIST CSF 2.0 | DE.CM-1 | Repeat reporting supports continuous monitoring by surfacing suspicious activity through people. |
| NIST CSF 2.0 | RS.AN-1 | The metric reflects whether reported events are analyzed and acted on quickly enough to sustain trust. |
| OWASP Non-Human Identity Top 10 | NHI-10 | Human reporting can expose NHI credential abuse before secrets or service accounts are fully compromised. |
Track repeat reporting as part of detection signals and refine intake workflows when employees report again.
Related resources from NHI Mgmt Group
Deepen Your Knowledge
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
