The problem with traditional prioritization
Security teams operating at cloud scale face a common set of prioritization failures:
- Thousands of alerts with no clear distinction between noise and genuine risk
- Severity scores based on CVSS or asset type, not on actual exploitability or business impact
- No model of which findings actually lead to sensitive assets or business disruption
- Remediation backlogs measured in months, not days
- Board reporting built on finding counts rather than risk reduction
- Security posture conversations without a shared definition of "better"
The Cloudryption approach
Cloudryption shifts from counting problems to modelling risk. The before/after framing replaces alert volume with a measurable outcome:
| Before Cloudryption | After Cloudryption |
|---|---|
| How many findings do we have? | How many attack paths lead to crown-jewel assets? |
| Which vulnerabilities do we patch first? | Which 3 actions eliminate the most attack paths? |
| Are we getting better? | Crown-jewel reachability reduced from 52 paths to 9 |
| What do we tell the board? | 83% reduction in crown-jewel exposure after 3 priority fixes |
| How much effort does remediation require? | ~2.5 engineering days for priority actions |
| Is this finding worth fixing? | This finding eliminates 14 attack paths — decision: fix this week |
Example ROI narrative
Example pilot outcome:
Cloudryption analysed a production AWS + GCP environment with 1,847 assets across 3 accounts. The decision graph identified 52 attack paths to crown-jewel assets.
Three priority actions — one security group change, one storage access policy fix, and one IAM scope reduction — eliminated 43 of 52 attack paths. Crown-jewel reachability dropped by 83%. Estimated remediation effort: 2.5 engineering days.
The executive report was delivered to the CISO and risk committee with a before/after narrative. The board approved the remediation plan in the same meeting.
Cloudryption analysed a production AWS + GCP environment with 1,847 assets across 3 accounts. The decision graph identified 52 attack paths to crown-jewel assets.
Three priority actions — one security group change, one storage access policy fix, and one IAM scope reduction — eliminated 43 of 52 attack paths. Crown-jewel reachability dropped by 83%. Estimated remediation effort: 2.5 engineering days.
The executive report was delivered to the CISO and risk committee with a before/after narrative. The board approved the remediation plan in the same meeting.
ROI metrics
| Metric | What it measures | Why it matters |
|---|---|---|
| Attack paths eliminated | Number of paths from exposure to crown-jewel assets closed after remediation | Direct measure of risk reduction, not just finding count |
| Crown-jewel reachability % | % of crown-jewel assets reachable from internet-accessible entry points | Board-ready measure of exposure to high-value assets |
| Minimum-fix efficiency | Number of changes required to eliminate 80%+ of paths | Measures how targeted the remediation plan is |
| Triage time saved | Engineer hours freed from manual finding triage | Cloudryption prioritizes by impact — engineers skip manual correlation |
| Time to first executive report | Days from pilot start to first board-ready report | Demonstrates fast time-to-value without multi-month deployment |
| Risk reduction per € spend | Attack paths eliminated per unit of platform investment | Traditional tools measure cost per finding; Cloudryption measures cost per risk eliminated |
How to calculate your ROI
The Cloudryption pilot is the most accurate way to estimate ROI for your specific environment. The pilot produces:
- A before-state baseline — attack paths, crown-jewel reachability, priority risks
- A prioritized remediation plan with effort estimates
- An after-state projection — estimated risk reduction from priority actions
- An executive report with the before/after narrative for board and risk committee
This gives your team a concrete, evidence-backed business case for continued investment — from your own environment, not a vendor demo.
Start measuring risk reduction, not alert volume
The pilot produces your before/after baseline in 30 days, from your actual cloud environment.