See coverage before drawing conclusions.
Ask which people, roles and channels are represented. Gaps in the evidence should remain visible instead of being treated as low risk.
Human Risk Analytics
Understand the pattern.
Keep the person in context.
Human risk management connects security-relevant behavior with the circumstances in which it happens. A useful view should explain where attention is needed and why.
From events to understanding
A score should open
a question, not close it.
A team with more reported events may have greater exposure or a stronger reporting habit. A low click rate may reflect an easy scenario rather than safer decisions.
The KeenSec model connects simulations, reporting and learning to make those distinctions useful at organizational, departmental and employee levels. Explore KeenSec AI Human Risk Intelligence to analyze behavioral patterns, natural-language queries, and automated scanner filtering.
SAME OBSERVATION / DIFFERENT INTERPRETATION
Reports increased.
More reports alone cannot establish improvement. Compare report rates with relevant exposure and check which kinds of events increased.
Illustrative interpretation, not customer analytics.
Compare like with like.
Review scenario difficulty, exposure and time period alongside behavior. Use differences to ask better questions, not to create a punitive league table.
Choose a relevant intervention.
Spot repeat risky behaviour, reporting habits and each person’s learning needs, without reducing anyone to a single score. Connect what you observe to a specific lesson, then reassess.
Explain patterns in language a team can act on.
The intended role is to help summarize evidence, highlight relationships and suggest questions. Verify the evidence and interpretation before acting on a recommendation.