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End-User Knowledge Baseline

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By NHI Mgmt Group Updated September 28, 2026 Domain: Governance, Ownership & Risk

An end-user knowledge baseline is the starting measurement of how well employees understand cybersecurity topics before deeper analysis or remediation begins. It gives organisations a reference point for comparing progress over time, spotting weak subject areas, and prioritising training. Without a baseline, improvement claims are hard to prove.

What an End-User Knowledge Baseline Measures

An end-user knowledge baseline captures the starting point for employee cybersecurity awareness, usually before training, phishing simulation, or other remediation. It turns a vague sense of “people know enough” into a measurable reference that can be compared over time.

The baseline is usually built from quiz results, survey responses, simulation outcomes, or a blend of those signals. The exact method matters because a baseline only has value when the measurement is repeatable enough to compare like with like.

Why Baselines Matter for Security Training

A baseline helps organisations see which topics are already understood and which subjects need reinforcement, such as phishing recognition, password hygiene, data handling, or escalation procedures. That makes training more targeted and reduces the common mistake of treating all learners as if they start from the same level.

It also gives security leaders a defensible way to show whether awareness efforts are improving knowledge rather than just increasing training completion rates. Without that reference point, it is difficult to tell whether a program changed behaviour, improved comprehension, or simply produced more attendance.

How the Baseline Is Used Over Time

Once established, the baseline becomes a comparison point for later assessments. The most useful readings are not one-off scores but changes across cohorts, roles, business units, or time periods, because those trends show whether knowledge is improving where it matters most.

In practice, the baseline can support prioritisation. If one topic consistently scores poorly, it may need different delivery methods, more frequent reinforcement, or tighter process controls around the behaviour the training is meant to influence.

Limitations and Interpretation

An end-user knowledge baseline measures understanding, not necessarily safe behaviour. People can score well on a quiz and still fall for a convincing email, while some employees may follow secure habits without performing well on a multiple-choice test.

That is why the baseline should be interpreted as one input, not the full picture. It is most useful when combined with other evidence, such as simulated attack results, incident trends, or role-specific control testing, so leaders do not overstate what awareness data actually proves.

Risk and Threat Considerations

Weak or unmeasured user knowledge creates exposure because it can hide gaps in phishing resilience, data handling, and escalation discipline. A baseline reduces that uncertainty by showing where human judgement is likely to fail before an attacker exploits it.

Failure mechanism: When organisations do not measure starting knowledge, they can misjudge training effectiveness, leave high-risk topics under-addressed, and miss populations that need different intervention.

Impact: The result can be avoidable security incidents, slower remediation, and a false sense of confidence in awareness programs that have not actually closed the most important gaps.

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 technical controls, while ISO/IEC 27001:2022 defines the regulatory obligations.

FrameworkControl / ReferenceRelevance
CIS Controls v8CIS-14 — Security Awareness and Skills TrainingEnd-user knowledge baselines directly support awareness measurement and training effectiveness.
Recommendation — Measure baseline awareness and track improvements to target security training where knowledge is weakest.
NIST CSF 2.0PR.AT-01 — All users are informed and trainedBaseline assessment shows whether users are actually prepared to receive and retain training.
Recommendation — Use baseline assessments to prioritize training topics and validate awareness progress over time.
NIST SP 800-53 Rev 5AT-2 — Awareness TrainingBaseline testing supports awareness training programs by showing what users understand before instruction.
Recommendation — Assess initial knowledge so awareness training can be tailored to the gaps that matter most.
ISO/IEC 27001:2022A.6.3 — Information security awareness, education and trainingBaselines help verify whether awareness and training activities are improving employee understanding.
Recommendation — Record starting knowledge and compare follow-up results to evidence training effectiveness.

Practitioner Guidance

Why practitioners should care: Treat the baseline as a measurement design problem, not just a training admin task. If the initial test is inconsistent, overly broad, or too easy, later comparisons will not be trustworthy.

Common misunderstanding: A higher score after training does not automatically mean the organisation is safer. The better question is whether the baseline and follow-up measurements show durable improvement in the specific knowledge areas tied to real exposure.

Practitioner takeaway: Use the baseline to guide targeted remediation, then remeasure with the same logic so the trend line stays meaningful.

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    NHIMG Editorial Note
    Reviewed and updated by the NHIMG editorial team on September 28, 2026.
    NHI Mgmt Group — the #1 independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org