Cloud doesn't fail at CVEs —
it fails at identity.
IAM graphs. Trust boundaries. Assume-role chains. We test your cloud the way attackers target it — through identity, not just infrastructure. AI-ready methodology for clouds running LLMs and agents.
Scope a cloud reviewAll three. Same methodology.
IAM graph analysis, org-wide SCP review, KMS + S3 posture, Lambda/Cognito abuse paths, STS chain mapping.
Entra ID tenant review, role assignment graph, Key Vault + Storage posture, Function App / Logic App exposure.
Org / folder / project hierarchy, IAM + service-account graph, Cloud Functions / Run exposure, workload-identity abuse.
What we look at.
IAM Graph Analysis
Who can become whom? We map assume-role edges, service-account impersonation, and privilege-escalation paths that humans cannot reason about without graphs.
Kubernetes Hardening
CIS-benchmark aligned review plus cluster-escape scenarios — RBAC abuse, pod breakout, supply-chain in admission controllers.
CSPM + IaC Review
Not just running a scanner. We read Terraform / Pulumi / CDK modules for drift risk and golden-path violations.
AI-Ready Assessment
For clouds running LLMs, RAG pipelines, or agentic workloads: we layer OWASP LLM + MITRE ATLAS checks onto the cloud review.
Multi-Cloud Posture
Unified findings across AWS + Azure + GCP with a single risk view. One report, consistent severity scoring.
Container & Registry
Image-scan beyond CVE — SBOM-aware, secrets in layers, runtime capability drift, signed-image enforcement gaps.
A dozen of the 40+ scenarios we test.
Excerpts from our cloud assessment library. Full methodology available on engagement.
[ STUB — expand with IAM graph visualisation + full scenario catalog per 05-content-matrix.md §5 ]
Scope a cloud review