Capability · Cloud Security Validation

Verifiable security — in the environments you actually run.

Your cloud dashboard is full of red and yellow squares. Some of those misconfigurations would let an attacker walk straight into your customer data. Most wouldn't. Until now, the only way to tell the difference was to wait and hope.

We help you tell the difference. We look at AWS, Azure, and GCP the way an attacker would — and we show you the small handful of misconfigurations that actually chain together into a real path to your data. Everything we test is read-only by default; we never touch production without your explicit sign-off.

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Just your domain and your work email. We'll handle the rest.

Six behaviours, three clouds, one loop.

01

Misconfiguration validation, not enumeration

We start from your CSPM feed (or discover the surface ourselves) and validate which findings are actually exploitable. A public-bucket finding is one thing; a public bucket containing exfiltratable customer data is another. The Proof Capsule shows you which.

02

IAM exploit chains, modelled

The worst cloud breaches are IAM chains: a low-privilege role with iam:PassRole, a service that assumes the passed role, an instance profile with s3:GetObject on the wrong bucket. We model the graph and surface the chains an attacker would walk — not the individual permissions in isolation.

03

Metadata SSRF, validated end-to-end

If your application has SSRF, can it reach 169.254.169.254? Can it pull instance credentials? Can it use those credentials against your account? Each step gets a separate capsule, so the chain is observable and the cut-points are obvious.

04

Cross-cloud awareness

Many estates are multi-cloud. We track findings across AWS, Azure, and GCP simultaneously, surface trust-relationship findings (federated identity, cross-account roles, OIDC misconfigurations) where the cloud boundary is itself the attack path.

05

Drift detection between runs

The IAM policy was good last week. This week, an engineer added a wildcard. The platform diffs the cloud configuration between runs and re-validates the affected exploit-chain analysis — so policy drift surfaces as a finding before someone hostile finds it.

06

Read-only by default; write-permitted by allowlist

Production targets default to read-only validation. We never modify your live cloud unless you explicitly allowlist a specific test scenario in a non-production account. The safety policy is declared per-engagement and reviewable by your auditor.

Cloud findings your platform team can fix from Terraform.

From CSPM finding to closed exploit chain.

01 — Find

CSPM ingestion or fresh discovery

We ingest your existing CSPM, CIEM, or cloud-asset feed, or run our own enumeration if you don't have one yet.

02 — Prove

Chain the misconfigurations into an exploit

The capsule walks the chain: app SSRF → metadata creds → assumed role → bucket read. Every step recorded.

03 — Fix

Cite the IaC, propose the change

The Terraform module, the CloudFormation stack, or the Bicep template where the misconfiguration originates — with the standard remediation pattern.

04 — Verify

Re-run the chain, fail at the cut-point

After the IaC ships, the same capsule runs again and the chain breaks at the patched step. fix-confirmed.

Validation across your largest unmanaged surface.

The cloud is now the surface where the most-impactful breaches happen, and CSPM tools have made it easy to enumerate misconfigurations — harder to know which ones an attacker could actually chain into a breach. CTEM's Validation stage is where that work belongs, and exploit-chain validation is its highest form. Every cloud Proof Capsule is verifiable end-to-end, including by your auditor.

See where you stand, before you commit to anything.

Drop your domain. We'll quietly look at your external footprint and send a short, plain-language report — with at least one real finding your team can verify themselves. No sales pressure. No surprise calls.

Just your domain and your work email. We'll handle the rest.