Five common situations, and what you get in the application for each.
Describe it to us; a person from the team shows you what Ctadel makes of it on your accounts.
Legacy AWS accounts, a Scaleway project for sovereignty, clusters at OVHcloud: nobody has the overall picture, and every console has its own rules.
Ctadel inventories the six clouds with the same scanners and the same rules, and connects everything in one graph. Identities present on several clouds are matched. Accounts and repositories are grouped into projects, with users restricted to their scope.
Thousands of configuration findings, all “high”, and no way to know which ones actually open an access.
Toxic combinations connect exposure, vulnerability, permissions and data in the graph, with a score out of 100 and the link to break. The Sapper, an AI agent, searches for paths no rule describes yet and proposes them to you.
ISO 27001 in three months, a 200-question customer questionnaire, and evidence to gather from five consoles.
Every rule cites the controls it covers: ISO 27001, SOC 2, PCI DSS, NIST, GDPR, HIPAA, SecNumCloud, CIS. Findings export to CSV, the audit log keeps who did what, and the trust centre answers the questions about hosting and data.
A public bucket declared in Terraform reaches production before anyone has seen it.
Ctadel analyses Terraform, Kubernetes manifests and Dockerfiles on every GitHub or GitLab push and pull request, comments on the pull request and reports drift between the code and what is running.
Backups in a forgotten bucket, an API key in a function variable, and no certainty about what they contain.
The Data scanner samples buckets and reads databases on a temporary copy inside your account; the Secrets scanner finds keys and checks whether they still work. Only masked excerpts are kept.
Describe it to us; a person from the team shows you what Ctadel makes of it on your accounts.