Cloud
Your cloud isn't misconfigured.
It's just reachable.
CSPM finds 12,000 findings. KSPM adds 4,000 more. CNAPP dashboards glue them into a heatmap. CYBRET ingests AWS, GCP, Azure, and your clusters into a single identity-and-network graph, then reasons about which IAM chains, RBAC bindings, and secret reachabilities an attacker could actually traverse across accounts.
3
Clouds, one graph
12k→47
Findings deduped
100+
Services modeled
<30s
Cross-account path reconstruction
Capabilities
KSPM and CNAPP
replaced by reachability.
◇
Multi-cloud graph ingest
AWS, GCP, Azure, and OCI unified into one typed graph, the same night you connect them. Resources, identities, network, data, and the edges that actually link them.
◎
IAM chain analyzer
AssumeRole, workload identity, and federated principals resolved end-to-end. We surface the three-hop escalations your policy reviewer never caught.
⊡
K8s RBAC reasoning
ClusterRoles, ServiceAccounts, and pod-level tokens reasoned against the workloads that mount them, so impersonate-then-exec paths become visible.
⌖
Secret reachability
A secret in a bucket is noise. A secret a public Lambda can read and decrypt is a path. We rank by who can actually reach the material, not where it sits.
◐
Cross-account privilege trace
Follow an identity from one account, through a trust policy, into a peer VPC, onto a pod, and out to customer data, with every hop cited in evidence.
⬡
Data-exposure ranking
Buckets, warehouses, and volumes scored by real tenancy, encryption state, and who can reach them from the edge. "Public" is a property, not a verdict.
How it works
From cloud sprawl
to a graph of real paths.
Cloud teams live in a graveyard of posture findings. We shorten the queue to the handful of paths that could actually move an attacker, and give the owning team the fix.
01
Connect
Read-only roles in AWS, GCP, Azure, plus kubeconfigs for your clusters and federation for your IdP. Thirty minutes per cloud, zero agents.
Read-only, zero agents02
Model
Every principal, resource, and trust relationship lifted into a typed graph. We model the service catalog, so "EKS node → IRSA → S3" is a first-class edge, not a guess.
100+ services modeled03
Reason
Graph walkers simulate what an attacker with a stolen token, a public endpoint, or a CI key could actually reach, across accounts and clouds.
Cross-account, cross-cloud04
Remediate
Findings grouped by root-cause policy or binding, routed to the owning team with the exact diff, Terraform hunk, or IAM patch that closes the path.
Root-cause, not row-by-rowSurface
One graph, every cloud.
Spec sheet
The boring details
that determine fit.
For procurement, architecture review, and that one engineer who reads every datasheet front-to-back. We respect them.
Clouds supported
AWS · GCP · Azure · OCI · custom via SDK
Kubernetes support
EKS · GKE · AKS · self-hosted · OpenShift
Identity sources
Okta · Entra ID · Google Workspace · AWS IAM Identity Center · Ping
Ingest mode
Read-only APIs · no agents · no in-line proxies
Outputs
Jira · Linear · ServiceNow · Slack · webhook · GraphQL API · Terraform patch
Deployment
SaaS · single-tenant · BYO-VPC · air-gapped on Enterprise
Data residency
US · EU (Frankfurt) · UK · AU · CA · BYOK on Enterprise
Compliance
SOC 2 audit underway · ISO 27001 Stage 2 scheduled · GDPR DPA available
Next in the fabric
01 / EXPOSURE INTELLIGENCE
The graph beneath the cloud.
Cloud is one ingest. Exposure Intelligence fuses it with code, identity, and runtime, so the paths you see span every layer.
USE CASE / CODE
SAST that respects reachability.
The same graph that ranks your cloud paths feeds our code analysis, so "critical bug" means an attacker could actually get there.
Start today
Connect a repo.
See your first proven path.
Read access. 30 minutes. No credit card.