A common mistake is treating games as entertainment instead of a control that must drive measurable behavior change. Another is using broad, generic training for everyone rather than matching the experience to risk. Teams also overvalue participation metrics and ignore whether risky actions actually decrease after the training. Engagement matters, but it is only useful when tied to outcomes.
Why awareness games fail when they are treated like training theatre
Organisations often buy into the format before they define the control objective. A game can be memorable and still fail if it does not reduce risky behaviour, change decision-making under pressure, or support a specific policy outcome such as safer handling of messages, attachments, credentials, or reporting. The practical test is whether the activity changes what people do next time.
That is why participation scores are a weak proxy. High engagement may reflect novelty, competition, or internal culture, but it does not prove that users are less likely to click, disclose, bypass, or ignore a warning when the real event arrives. The useful question is not whether people enjoyed the exercise, but whether the organisation can show a measurable drop in the target behaviour.
Organisations also overgeneralise. A single awareness game aimed at the whole workforce assumes the same failure pattern everywhere, which is rarely true. A finance team, a software engineer, and an executive assistant do not face identical social engineering pressure, so the lesson and format need to reflect the risk context if the exercise is meant to be more than branded entertainment.
For a broader control lens, organisations should think in terms of behaviour change, not campaign volume. That is the same reason outcome-based security programmes matter more than activity-based ones, especially when the intervention is meant to affect human decision points rather than just communicate information.
Where the design usually goes wrong
The most common design error is making the game easy to launch and hard to evaluate. Teams count completions, badge claims, or leaderboard activity because those are visible, but the control fails if nobody defines the target behaviour in advance. If the goal is phishing resilience, for example, the design should measure reporting quality, time to report, or refusal rates, not simply whether people played.
A second mistake is using one generic experience for all roles. Awareness improves when the scenario reflects the actual work environment, the likely lure, and the consequences of the mistake. Generic content may still build familiarity, but it rarely creates enough relevance to alter judgement in high-pressure situations.
A third issue is confusing short-term recall with durable change. People can remember a lesson from a game and still revert to old habits a week later. Good programmes therefore need follow-up measurement, reinforcement, and a way to connect the game to operational controls such as reporting channels, approvals, or helpdesk escalation. NHIMG’s Ultimate Guide to Non-Human Identities is useful here as a reminder that security outcomes improve when controls are tied to the asset or behaviour being protected, not just to awareness messaging.
In practice, the best designs make the desired action unmistakable and observable. If the organisation cannot describe the exact behaviour it wants to see more or less of, the game is probably serving communications more than security.
What practitioners should measure instead
The right metrics depend on the behaviour the game is supposed to change. If the aim is better phishing response, measure reporting speed, false-positive reporting quality, and repeat susceptibility over time. If the aim is safer data handling, measure policy violations or risky sharing patterns before and after the intervention. Those signals are much stronger than attendance, scoreboards, or completion rates.
It also helps to track whether the game changes decisions in the right population. A small improvement in a high-risk team can matter more than broad participation across low-risk users. That is why segmentation matters: the control should be tuned to the people, privileges, and workflows that create the largest exposure.
When organisations need a reality check, they should compare awareness-game results with actual incident patterns and enforcement data. If the game says behaviour improved but incidents, exceptions, or helpdesk escalations do not move, the programme is probably optimising for engagement rather than control effectiveness. NHIMG’s 52 NHI Breaches Analysis reinforces a related point, the strongest lessons are usually those tied to real failure modes and measurable consequences, not just memorable scenarios.
Practitioner Guidance: The most useful awareness games are small, targeted, and measured against a specific behaviour change, not against participation or entertainment value.
What to prioritise: Define the single risky action you want to reduce or the desired action you want to increase, then choose a game format that can be measured against that outcome. If you cannot observe a change in behaviour, the game is not yet a control.
What to verify: Before trusting the programme, verify that it is mapped to a real workflow, a real audience, and a repeatable metric such as reporting speed, refusal rate, or policy violation reduction. If those are missing, the programme is mostly branding.
Practitioner takeaway: Awareness games work when they are treated as an intervention in behaviour, not as proof of awareness, and when the organisation is willing to measure the outcome that actually matters.
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 CIS Controls v8 and NIST CSF 2.0 set the governance and control requirements practitioners need to meet.
| Framework | Control / Reference | Relevance |
|---|---|---|
| CIS Controls v8 | CIS 14 — Security Awareness and Skills Training | This question is about awareness activities and whether they change user behaviour. |
| Recommendation — Measure awareness efforts against behavior change, not attendance or completion alone. | ||
| NIST CSF 2.0 | PR.AT — Awareness and Training | The subject concerns how awareness improves security outcomes in practice. |
| Recommendation — Tie awareness activities to defined outcomes and verify that they reduce risky actions. | ||
| OWASP Non-Human Identity Top 10 | NHI-01 — Secret Leakage and Exposure | Game scenarios often train people around secret handling and risky disclosure behavior. |
| NHI-04 — Overprivileged Non-Human Identities | Awareness content can be targeted to high-risk roles and sensitive access paths. | |
| Recommendation — Use scenarios that reinforce safer secret handling and validate that leakage risk declines. Target training to the roles and access paths where overprivilege creates the most exposure. | ||
Related resources from NHI Mgmt Group
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Reviewed and updated by the NHIMG editorial team on September 18, 2026.
NHI Mgmt Group — the #1 independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org
