Topic starter
20/08/2026 6:10 pm
TL;DR: Phishing simulations turn human susceptibility to social engineering into measurable risk and, according to Living Security Human Risk Management Platform, effective programs work best when they prioritise education, immediate feedback, and realistic scenarios. The real governance issue is not whether employees can be tricked, but whether identity, behaviour, and response data are being used to reduce repeat exposure and improve reporting.
Editorial analysis by NHI Mgmt Group, based on content published by Living Security Human Risk Management Platform: “Security Phishing Simulation: The Ultimate Guide”.
Key questions
Q: What breaks when phishing simulations are used as punishment instead of learning?
A: They create fear, reduce reporting, and encourage users to hide mistakes instead of surfacing suspicious emails early.
Q: Why do phishing simulations need reporting metrics, not just click metrics?
A: Click rates show susceptibility, but reporting rates show whether people will act as sensors for the security team.
Q: How should security teams measure human risk in phishing simulations?
A: They should measure more than clicks.
Practitioner guidance
- Implement behaviour-based phishing metrics Track click rate, report rate, and time-to-report as separate signals so you can see whether awareness is translating into defensive action.
- Use immediate post-click micro-training Send users to a safe explanation page immediately after interaction so the learning moment lands while the message is still fresh.
- Correlate simulation results with access context Prioritise follow-up for users whose role, permissions, or business function would make a successful phish materially more damaging.
Bottom line: Phishing simulations reveal whether employees can turn awareness into action, not just whether they recognise a threat in theory.
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20/08/2026 6:46 pm
Phishing simulation data becomes governance data only when organisations treat behaviour as an access signal. Clicks, reports, and repeat failures are not just training outputs; they are indicators of where human risk is concentrated. That matters because the same user behaviour can mean very different things depending on role, access, and exposure. The practical conclusion is that phishing programmes should inform control prioritisation, not sit apart from it.
A few things that frame the scale:
- Roughly 1 in 3 phishing payloads are delivered outside email, through channels such as social media, search ads and messaging apps.
A question worth separating out:
Q: What should organisations do after repeat phishing failures?
A: Give targeted support, adjust the scenario mix, and review whether the user’s work context is increasing susceptibility. Repeated failure is not only a training problem; it can also show that the organisation needs better message realism, clearer reporting paths, or more context-aware intervention.
👉 Read our full editorial: Phishing simulations reveal the gap between awareness and behavior