The RETACH CRQ Engine translates your S.I.N.S. posture into Expected Annual Loss β scenario by scenario, pillar by pillar. Run a live OSINT surface scan. Get a board-ready financial risk model in minutes.
Fill your profile and click Calculate to run the full model. For a consultant-delivered version with live AD audit data, book an assessment.
These seven numbers answer one question: what could a bad year cost you, and how confident are we in that number? The three highlighted tiles are loss figures in KES; the rest give you context on how that number was built.
Sector risk baselines from published industry data β the starting point for every RETACH engagement. Refines to your organisation once you calculate.
Likelihood (cols) Γ Impact (rows). Darker = higher combined risk. Scenario codes plotted by calculated EAL and likelihood.
EAL = modelled frequency (Poisson Ξ») Γ severity (Lognormal), per scenario, summed. Likelihood = probability of β₯1 event this year given your control posture. Sorted by EAL.
| Scenario | Pillar | Likelihood | EAL / yr |
|---|
Live, unauthenticated checks against your own public-facing footprint β DNS, SSL, and known ransomware activity. Results feed into your Attack Surface Score, which nudges how often an incident is expected β not how badly it would hurt if one happened.
Ranked by EAL reduction. Implement top-to-bottom for maximum risk ROI per KES spent.
Your top EAL-reducing actions, grouped into a 30/60/90-day sequence. Work top-to-bottom within each window for the fastest risk reduction per KES spent.
Kenya sector benchmarks: Serianu 2023 Β· CA Kenya Annual Report Β· CBK Cybersecurity Guidelines Β· ODPC enforcement data.
The CRQ Engine gives you the financial model. A RETACH Full Assessment adds live AD audit findings, consultant-run OSINT with dark web and Shodan data, and a signed executive report β in 5 business days.
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