Make human risk measurable – and improve it with focus.

People are part of your defence – but only when behaviour changes in the moments that truly matter.

We make human risk visible and measurable and reduce it with focused campaigns, clear goals, nudges and better reporting quality that strengthens your response rather than creating additional noise.

If awareness feels like a box-ticking exercise or it’s unclear what “good” concretely looks like in your organisation, bring your specific questions. We’ll define a pragmatic starting point first.

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Does this sound familiar?

Click rates are moving, but everyday behaviour barely changes.
Employees don’t report suspicious emails or report them too late.
There’s no reliable evidence of impact – beyond “training completed”.
How do we demonstrate value with metrics that truly matter rather than vanity metrics?
How do we intervene at the moment of risk – not weeks later?
How do we establish a lived everyday culture?

Fits if you…

want measurable risk reduction rather than simply “more training”
run security with a small team or distributed responsibilities
are tired of vanity metrics and want to see whether behaviour actually changes
need better reporting signals and fewer false positives
want to start pragmatically without a large internal campaign machine

When it’s relevant

phishing and social engineering are among the most frequent incident drivers
the reporting rate is low or reporting quality fluctuates
there’s an internal sense that “training doesn’t change behaviour”
many false positives and noisy user reports are generated
reliable evidence for budget or next steps is missing

Outcomes

measurable behaviour improvement in critical roles and scenarios
higher phishing resilience and faster reporting
better signal-to-noise ratio for response and security teams
a culture that lasts beyond individual campaigns

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No dumb questions

Is phishing simulation still worthwhile – or are we just annoying people?
How do we evidence impact beyond completion rates?
What is meaningfully a “good” reporting rate?
Can we start without directly involving HR or comms?
How do we prevent the SOC (or IT) from drowning in false positives?
Do nudges actually work – or is that just buzzword theatre?
How do we avoid blame and still change behaviour?
What’s a sensible first pilot – and when do we see initial movement?
How do we handle different risk profiles (finance, execs, admins, developers)?
What if our culture is rather sceptical about “security training”?

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Ask your “dumb question”. We’ll give you a straight answer.

Building blocks

Measurement, KPIs and continuous improvement

What do we measure to keep it meaningful?

Baseline, targets and an improvement cadence tied to outcomes.
Outcome: visible progress and better investment decisions.

Culture and leadership enablement

How does security become “normal” rather than a campaign?

Practical guidance that leaders can reinforce in daily work – not just slogans.

‍Outcome: clear expectations and lasting habits.

Nudges and just-in-time coaching

Can we change behaviour at the moment of decision?

Small, context-aware prompts that reduce errors at the critical moment.
Outcome: risk reduction where it matters most.

Phishing resilience and reporting quality

How do we improve reporting without creating more noise?

Faster, better reports, fewer duplicates, stronger signals for response teams.
Outcome: less noise and greater operational value.

Micro-learning and campaigns that land

How do we keep it relevant – without training fatigue?

Short, relevant, repeatable prompts focused on “What concretely changes tomorrow?”
Outcome: awareness becomes part of daily work rather than an annual box-ticking exercise.

Risk and behaviour model

What exactly should people do differently going forward?

We start with your risk drivers: roles, typical errors and critical moments in key processes.

‍Outcome: a clear target picture – and how you measure progress.

How we start

Intro call: Confirm fit, clarify priorities, define success criteria
Tailored demo: Adapted to your context and workflows
PoV (optional): 2–4 weeks, clearly time-boxed validation in your environment
Proposal: Scope, deliverables, timeline, commercial model

Ready to measurably reduce human risk?

In the intro call, we align on your biggest behaviour-driven risks, define what “good” looks like in your environment, and set the success criteria for a tailored demo. Where appropriate, we validate with a clearly time-boxed PoV (typically 2–4 weeks) and then prepare a proposal.