Most attacks do not respect cloud boundaries. Federated identity, SaaS integrations, shared data stores, and interconnected workloads create risk paths that span AWS, Azure, and GCP. Cloudryption Solution Matching models those paths as one connected decision problem, not as separate cloud-specific findings.
The multi-cloud visibility gap
In many enterprises, each cloud environment is assessed independently. AWS findings live in one workflow. Azure identity risks appear somewhere else. GCP misconfigurations create another backlog.
But attackers do not operate that way.
A compromised identity in one cloud can expose data in another. A misconfigured workload can become a pivot point. A shared SaaS integration can connect multiple environments into a single attack path.
When risks are reviewed cloud by cloud, the real exposure is easy to miss.
One decision graph
Cloudryption normalizes signals from AWS, Azure, and GCP into a single decision graph.
This graph connects assets, identities, permissions, workloads, vulnerabilities, network paths, data stores, and crown jewels across cloud boundaries.
Cross-cloud attack paths surface as first-class objects, not fragmented findings across separate tools.
From cross-cloud risk to matched solutions
Cloudryption Solution Matching evaluates each cross-cloud path and identifies the remediation action, or minimum fix set, that reduces the most measurable risk.
Instead of asking, “Which cloud has the most critical findings?”
Security teams can ask, “Which solution breaks the most important attack path across our cloud estate?”
Expanding cloud coverage
Cloudryption currently supports decision modeling across AWS, Azure, and GCP, with Oracle Cloud Infrastructure and Alibaba Cloud support coming soon.
As enterprise cloud estates expand, Cloudryption is built to keep decision-making unified, consistent, and risk-led across providers.
What good looks like
- Security teams see cross-cloud paths in one model.
- Prioritization reflects attacker reachability across AWS, Azure, and GCP.
- Remediation decisions are matched to measurable risk reduction, not isolated cloud findings.
Cloudryption Solution Matching helps teams move from provider-specific alert management to unified multi-cloud risk decisions.