Impact-first ranking
Prioritize fixes by how much risk they remove from connected paths.
Minimum fix sets
Find the smallest set of actions with the largest exposure reduction.
Measurable outcomes
Show before/after risk movement for leadership and engineering.
Why finding count is the wrong metric
A backlog with fewer findings is not always a safer environment. Closing low-impact findings can create a good dashboard while leaving high-impact attack paths open. Cloudryption evaluates remediation using connected risk: which crown jewels become less reachable, which privilege paths are broken, and how much blast radius is reduced.
Risk reduction inputs
- Asset criticality and crown-jewel designation.
- Identity privilege, trust relationships, and escalation potential.
- Network reachability, public exposure, and lateral movement potential.
- Data sensitivity, public access, encryption posture, and access paths.
- Existing security findings and their placement in the graph.
- Remediation difficulty and expected control impact.
Decision model
| Decision factor | What CID evaluates |
|---|---|
| Path reduction | How many material attack paths are removed or weakened by a fix. |
| Blast-radius reduction | How much reachable asset, identity, or data scope is reduced. |
| Crown-jewel impact | Whether the fix protects business-critical systems or sensitive data. |
| Fix efficiency | Whether one remediation action closes multiple connected exposures. |
| Evidence quality | Whether the recommendation can be explained and validated. |
Output
The result is a prioritized remediation plan that explains why a fix matters, what evidence supports it, what risk it reduces, and how the team can validate improvement after remediation.
See Cloudryption in your environment
Request a focused walkthrough and validate the decision model against realistic cloud security scenarios.