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21/08/2026 4:47 pm
TL;DR: Phishing simulation training becomes materially more useful when it is treated as one signal inside a broader Human Risk Management program, with Living Security Human Risk Management Platform arguing that click data, report rates, access context, and threat intelligence should be correlated to prioritise the people who matter most. The governance shift is from compliance testing toward risk-based intervention, where measurement, segmentation, and just-in-time education drive behaviour change.
NHIMG editorial — based on content published by Living Security Human Risk Management Platform: Smarter phishing simulation training for employees
By the numbers:
- When AWS credentials are exposed publicly, attackers attempt access within an average of 17 minutes and as quickly as 9 minutes in some cases.
Questions worth separating out
Q: How should security teams use phishing simulation results beyond compliance reporting?
A: Use them as one input into a broader human risk model.
Q: Why do phishing simulation metrics often miss the highest-risk employees?
A: Because click rate alone ignores access context.
Q: What do security teams get wrong about phishing awareness training?
A: They often treat training as a replacement for technical containment.
Practitioner guidance
- Define success metrics beyond click rate Set baseline goals for report rate, time-to-report, and repeat clickers so the programme measures resilience, not just failure.
- Correlate simulation results with access data Join phishing outcomes to IAM and privilege records so high-risk behaviour is evaluated in the context of actual access exposure.
- Segment simulations by role and exposure Prioritise groups with sensitive access, high transaction value, or frequent targeting so scenarios reflect the risk the user actually faces.
What's in the full article
Living Security Human Risk Management Platform's full blog post covers the operational detail this post intentionally leaves for the source:
- Step-by-step guidance for setting baseline metrics such as report rate, click rate, and time-to-report
- Examples of how the platform correlates simulation results with employee behaviour, identity and access, and threat intelligence
- Practical advice on role-based segmentation for finance, executives, and privileged users
- Recommendations for building a supportive micro-training loop after failed simulations
Phishing simulations and human risk management: are your metrics enough?
Explore further
21/08/2026 5:06 pm
Human risk becomes an identity problem when it determines who can be compromised first. Phishing simulation data is useful only when it helps security teams prioritise people whose behaviour intersects with meaningful access. A low click rate can still mask severe exposure if the same users hold privileged or sensitive entitlements. The article’s core point is that behaviour, identity, and threat telemetry must be analysed together. That is where IAM and human risk management converge, and where programme owners should focus their next control decisions.
A question worth separating out:
Q: How can teams keep phishing simulations from harming trust?
A: Be transparent about the existence of simulations, explain their educational purpose, and avoid public shaming or performance punishment. Employees are more likely to report genuine threats when they see the programme as a safe learning loop rather than a trap. Trust improves detection quality.
👉 Read our full editorial: Phishing simulation data is only useful when tied to human risk
