Your cloud account, read like an attacker.
CredShields One offers AI-driven cloud configuration penetration testing for AWS, GCP, and Azure. We review identity, networking, data, and logging configurations end to end and map the privilege escalation paths an attacker could chain from initial access to crown jewels.For teams running production workloads on AWS, GCP or any other cloud platform. Our AI reviews your account configuration end to end, across identity, networking, data, and logging, and maps the privilege escalation paths an attacker could chain from initial access to crown jewels.
A scanner finds settings. We find chains.
Cloud breaches almost never start with one bad config. They start with three benign ones that compose. Our AI reasons across the whole graph; a senior reviewer validates every chain before it ships.
Settings vs. paths
Scanners flag a public bucket. We tell you which role can reach it, who can assume that role, and what they can do once they're in.
The whole graph
Identity, network, data, and logging in one model. Misconfigs only matter when you compose them. That's where real risk lives.
Humans validate
Every critical chain is reproduced and written up by a senior reviewer. No AI hallucinations in your report, no compliance-checkbox noise.
Six surfaces. Every misconfig, every chain.
IAM
Over-privileged roles, wildcard actions, confused-deputy chains, cross-account trust gaps, and the assume-role paths that lead to admin.
- Privilege escalation
- Wildcard policies
- Cross-account trust
- Service-linked roles
Public exposure
Storage buckets, databases, snapshots, endpoints, and any resource accidentally readable from the open internet, including the ones the console hides from you.
- Public storage
- Exposed databases
- Snapshot leakage
- DNS takeover
Network controls
Security groups, NACLs, peering, transit gateways, and the lateral-movement paths between VPCs, accounts, and on-prem, including egress nobody's looking at.
- Permissive SGs
- Lateral movement
- Unrestricted egress
- Peering misconfig
Encryption + KMS
Where encryption is missing, where the keys are reachable by the wrong principals, and where a single grant or alias quietly undoes the whole strategy.
- Unencrypted data
- Key policy gaps
- Grant abuse
- Rotation gaps
Logging gaps
Trails that aren't on, regions that aren't covered, retention that's too short, and the actions an attacker could take that would leave no trace anyone notices.
- Trail coverage
- VPC Flow blind spots
- Retention gaps
- Tamper-resistance
CIS benchmarks
Full CIS benchmark coverage mapped to your account, with every finding tied to its real-world exploit path. Not just a compliance checkbox.
- CIS AWS
- CIS GCP
- CIS Azure
- Exploit-path map
What a chain actually looks like.
Two redacted findings from real engagements. Each is reproducible, each is mapped to a specific principal and resource, each was validated by a senior reviewer.
An EC2 instance running the staging app held a role that could iam:PassRole any role in the account to a new Lambda function. The Lambda then ran with a privileged role, granting full administrative access across the production account.
A nightly snapshot of the production RDS instance was marked public as part of a debugging workflow that was never reverted. The snapshot was discoverable via the public AWS snapshot index and contained full customer PII.
Read-only access. Written-down chains.
You give us a read-only role. Our AI ingests the configuration, reasons about the graph of permissions and resources, and a senior reviewer validates every chain before it lands in your report. Same five-stage pipeline as the rest of CredShields One. Different surface, same standard.
Ready to map your cloud? Request access.
Tell us where your workloads live and we'll scope a pilot. Read-only access, written-down chains, in your inbox in days.
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