Data Risk Intelligence

Understand which cloud data is exposed and how it can be reached

Cloudryption correlates data-store posture with identity, network, workload, and attack-path context to prioritize the data risks that matter most.

Sensitive data context

Classify and prioritize data stores by sensitivity and business importance.

Reachability

Connect data exposure to identities, workloads, and public access paths.

Control posture

Track encryption, logging, backup, and access-control evidence.

Data risk is not only public access

A private data store can still be highly exposed if too many identities can access it, if a compromised workload can reach it, or if an escalation path leads to it. Cloudryption treats data as a crown-jewel target inside the risk graph.

What Cloudryption evaluates

  • Storage buckets, databases, warehouses, snapshots, backups, and managed data services.
  • Public access and external sharing conditions.
  • Encryption posture and key-management indicators.
  • Identity access, service-account access, and workload reachability.
  • Sensitive-data hints and crown-jewel designation.
  • Logging, backup, retention, and recovery evidence where available.

Decision outcomes

CID highlights which data stores create material exposure, which identities or workloads drive access risk, and which fixes reduce the highest amount of data blast radius.

See Cloudryption in your environment

Request a focused walkthrough and validate the decision model against realistic cloud security scenarios.