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SMHealth

Human Risk, Meet Clarity.

Training only goes so far. Underneath it sits the risk attackers exploit, scattered across tools that never talk to each other. SMHealth brings it together: surface hidden risk, fix what matters, and watch it change in one place.

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SMBreach

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The Problem

Training scores the module.
Attackers score the person.

Breach

Course finished. Still exposed.

Training scores what someone understands at that moment. Not the leaked password, the dormant account, or the access that quietly piled up.

Policy

Minor alone. Critical stacked.

Credentials exposed. Elevated access. Stack both on one person and a toxic combination appears: exactly what attackers hunt for.

Integration

Everything logged. Nothing connected.

The risk signals already exist: identity data, training results, phishing results, breach alerts. What is missing is not the data. It is the connection.

Introducing SMHealth

Connect scattered risk. Fix what is hidden. Watch what changes.

SMHealth reads every person the way an attacker sizes them up: Target, Awareness, Hygiene and Access. One live score for the business and for everyone in it, with the worst combinations and their fixes at the top.

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Connect

Turn scattered signals into one live risk score

Training, phishing, policy, credential leaks, identity and access. Everything that shapes a person's real risk, finally in one place and one number.
  • SMLearn, SMPhish, SMBreach and SMPolicy data
  • Identity and access signals from Microsoft 365 and Google Workspace
  • The score moves as conditions change
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Resolve

Uncover toxic combinations, ranked and ready to fix

The riskiest people rise to the top, with the reasoning in everyday language. The next step sits right beside them: tighten a policy, enforce MFA, assign a module.
  • Risk combinations stacked on a single employee
  • Priorities ranked by business impact
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Prove

Show outcomes, not completion rates

One view that answers the question every review comes back to: is risk actually going down?
  • Score movement before and after each fix
  • Compare risk across departments and sites

The risk signals are already there. Now see them connected.

Langkah proaktif pencegahan kebocoran data berlanjut

domain monitoring
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