Catch cloud drift before it becomes a breach.

Cloud environments start correct and drift. Someone widens a security group at 11pm to unblock a deploy and means to revert it. A bucket policy is loosened for a partner. Each is defensible. Together they turn a well-configured environment into a badly configured one.

Point-in-time assessments miss this by design, and a first scan returns hundreds of unranked findings that become an ignored backlog.

Kervo AI connects read-only to your cloud accounts and continuously checks their configuration for misconfigurations: excessive permissions, exposed storage, permissive network rules and drift from a known-good state. Each finding is mapped to the compliance frameworks you follow.

Findings come ranked with attack-path context: an overpermissioned role that opens a privilege escalation path to production outranks a missing tag. Drift is detected as it happens, with what changed, when and by whom, and every finding shows which compliance controls it affects.

Connection is read-only, least-privilege API access. Kervo AI never modifies your cloud configuration, and the permission sets for each provider are documented and reviewable before you grant anything.

Evaluation runs continuously against live state, with multi-account and multi-subscription environments rolled up across the estate and filterable by account, environment or business unit.

A standalone posture tool can flag an overpermissioned role. It cannot know that the identity holding it has a credential in a breach dump, or that the workload it reaches runs an internet-facing RCE. In Kervo AI those facts are connected nodes in one graph, so they surface as one critical attack path instead of three separate mediums.