An initial phishing simulation used to establish a starting point for user susceptibility before a broader program launches. It provides a reference for later measurement, helps identify hidden technical issues, and gives security teams a practical view of current behaviour. The baseline matters because it shows whether later training is improving performance.
What a baseline phishing test is used for
A baseline phishing test is the first simulation in a phishing program, designed to measure how people behave before awareness campaigns, controls, or process changes have had time to influence results. It gives security teams an initial reference point for future comparison.
The value of the baseline is that it anchors later measurement. Without it, a drop or rise in click rates, credential entry, or report rates is harder to interpret because there is no starting condition to compare against.
How a baseline supports program measurement
The baseline is not the program itself, it is the measurement foundation beneath it. That makes it useful for separating genuine improvement from simple noise, such as seasonal workload shifts, campaign fatigue, or changes in message style.
In a mature awareness program, the baseline also helps security leaders decide whether later tests are testing the same behaviour under comparable conditions. If the first simulation is too easy, too obvious, or badly timed, the baseline can distort the entire trend line.
- It establishes a starting susceptibility profile for a population.
- It helps compare later campaigns against a consistent reference.
- It can reveal whether reporting and escalation habits are already strong or weak.
- It may surface technical delivery issues that affect mailbox filters, link rewriting, or user experience.
What the baseline can reveal beyond awareness
Although the term sounds training-focused, baseline tests often expose operational issues that are not about user judgement alone. For example, a simulation can show whether mail security controls, ticketing paths, or reporting buttons are working the way the organisation expects.
That is why the baseline is often most useful when interpreted as both a behavioural measure and a control check. It can show whether users are the only weak point, or whether the environment itself is helping or hindering detection.
A baseline also becomes more valuable when the organisation tracks multiple outcomes, not just click-through behaviour. Reporting speed, repeat offenders, and response handoff all tell a more complete story about readiness than a single metric can.
How organisations should interpret baseline results
Baseline results should be treated as a snapshot of current behaviour, not a verdict on maturity. A poor result does not mean the awareness programme has failed, only that the starting point is now visible and can be improved in a measurable way.
The best use of the baseline is comparative: it should support later review of whether training, process changes, and technical controls are changing behaviour in the intended direction. If the baseline is not designed carefully, later measurements may be difficult to defend.
Risk and Threat Considerations
Phishing remains risky because the baseline captures how likely real users are to interact with malicious messages under ordinary working conditions. If the starting point is weak, an attacker can exploit that behaviour before the organisation has reliable reporting habits or response discipline.
Failure mechanism: Users click, submit credentials, or ignore warning signs in ways that reveal how a real phishing campaign could succeed. A poorly designed baseline can also create a false sense of progress if it is not comparable with later tests.
Impact: Credential compromise, account takeover, malware delivery, or delayed reporting can follow, and security teams may misread the organisation’s true exposure if the measurement method is inconsistent.
Standards & Framework Alignment
This section maps relevant standards and security frameworks to the operational risks and controls described in this guidance.
CIS Controls v8, NIST CSF 2.0 and NIST SP 800-53 Rev 5 set the governance and control requirements practitioners need to meet.
| Framework | Control / Reference | Relevance |
|---|---|---|
| CIS Controls v8 | CIS-14 — Security Awareness and Skills Training | Baseline phishing tests establish awareness starting points and measure user susceptibility. |
| Recommendation — Use baseline phishing results to target awareness training where user susceptibility is highest. | ||
| NIST CSF 2.0 | PR.AT-01 — All users are provided awareness and training | Phishing baselines support awareness and training programs by measuring current user behavior. |
| DE.CM-09 — Vulnerabilities are identified, reported, and corrected | Phishing simulations can reveal technical issues in mail filtering, reporting, and response paths. | |
| Recommendation — Measure baseline phishing performance before training so later results can be compared consistently. Use simulation findings to identify and correct weaknesses in reporting and email defenses. | ||
| NIST SP 800-53 Rev 5 | AT-2 — Awareness Training | Baseline phishing tests provide input for awareness training effectiveness and user risk reduction. |
| SI-4 — System Monitoring | Simulation campaigns can expose monitoring and delivery issues that affect detection and response. | |
| Recommendation — Use baseline phishing outcomes to tailor awareness training to observed user behavior. Validate that monitoring and reporting paths capture simulated phishing activity as expected. | ||
Practitioner Guidance
Why practitioners should care: The baseline is only useful when it is clean enough to support future comparison. Security teams should treat the first test as a measurement instrument, not just an awareness exercise, and keep conditions stable enough that later results are meaningful.
What to watch for: Large swings caused by timing, delivery quirks, or message design can undermine the value of the baseline. The practical question is whether later improvements reflect real behavioural change or simply a different test profile.
Related resources from NHI Mgmt Group
- How should security teams test phishing controls against modern evasion techniques?
- What are the signs that a phishing message is failing its own credibility test?
- How should security teams use phishing assessments to improve user resilience without treating them as a technical pass or fail test?
- What happens when employees receive immediate feedback after failing a simulated phishing test?
