Collect
Read cloud evidence through scoped, customer-authorized discovery.
Correlate
Connect cloud signals into one normalized decision graph.
Decide
Recommend the fixes that produce the highest measurable risk reduction.
CID operating model
Collect evidence
CID starts with asset inventory, IAM metadata, network reachability, data-store posture, workload exposure, and security findings.
Normalize context
Provider-specific signals are transformed into common asset, identity, relationship, finding, and risk models.
Build the decision graph
CID connects identities to permissions, workloads to networks, data stores to exposure, and findings to affected assets.
Simulate impact
CID evaluates which paths can reach crown jewels, which identities increase blast radius, and which weaknesses combine into material exposure.
Recommend action
CID ranks remediation by impact and explains why a smaller fix set can reduce more risk than closing large numbers of low-impact findings.
What CID is not
CID is not uncontrolled autonomous remediation. It does not change customer environments unless explicit customer workflows and approvals enable execution. Its primary job is to provide decision-quality intelligence, evidence, and prioritization.
Where CID appears in the product
- Attack path explanations and path scoring.
- Identity risk and toxic-permission analysis.
- Data exposure and crown-jewel prioritization.
- Risk reduction simulation and minimum fix-set planning.
- Executive reports, technical reports, HLD, and LLD generation.
See Cloudryption in your environment
Request a focused walkthrough and validate the decision model against realistic cloud security scenarios.