Evidence
Connect the exposure to identities, workloads, networks, data, vulnerabilities, and attack paths.
Decision OS
Define the objective, compare FixSets, simulate expected impact, and govern execution authority.
Verified outcome
Track approved work and prove the actual post-change result before closure.
When this use case appears
This use case appears when teams operate across multiple cloud accounts, subscriptions, projects, workloads, identities, and data stores but lack a clear model for what creates material risk.
How Cloudryption helps
- Collects scoped cloud evidence and establishes Current Security State.
- Correlates assets, identities, permissions, workloads, networks, data, vulnerabilities, findings, and attack paths.
- Defines a measurable Decision Objective instead of optimizing for alert closure.
- Compares competing remediation strategies and FixSets using simulated expected outcomes.
- Applies Decision Governor policy, RBAC, safety, rollback, and approval controls.
- Creates governed remediation plans with accountable owners and Native, Jira, or ServiceNow ticket workflow.
- Tracks engineering execution independently from verification.
- Re-evaluates post-change evidence, records the verified actual outcome, and creates Decision Proof and Decision Memory.
What success looks like
Success is not only fewer findings. Success is a measurable security objective achieved through governed action and confirmed by post-change evidence: lower material attack-path exposure, reduced crown-jewel reachability, smaller blast radius, and a verified outcome that engineering and leadership can audit.
See Cloudryption in your environment
Request a focused walkthrough and validate the decision model against realistic cloud security scenarios.