Cloud penetration testing

Find what config audits miss.

AWS · Azure · GCP · Kubernetes, tested by hand for IMDSv1 SSRF, IAM role-chain abuse, managed-identity over-scope, workload-identity confusion, and pod-to-host RBAC bypass. Every finding lands with a working proof-of-exploit, code-level fix guidance, and a re-test.

See the methodology
Four cloud lanes, AWS, Azure, GCP, Kubernetes, each annotated with one named bug class actually exploited in real engagements.

Four providers

AWS · Azure · GCP · Kubernetes, one method, four control planes.

Evidence

Working proof-of-exploit and code-level fix guidance on every finding.

Re-test included

We verify your fixes at no extra cost. One engagement, closed loop.

Why now

The window from vulnerability discovery to exploitation has gone from weeks to hours.

Trusted by security teams across Fintech, SaaS & Education, Enterprise & Telecom, Security & Critical Infrastructure

Airbase
Quiltt
Pacvue
Imagine Learning

On record

  • CERT-In empanelled auditor
  • CREST accredited
  • ISO/IEC 27001

Why a config audit isn't a pentest

A finding flagged is not a finding proven.

CSPM tools and checklists report what your cloud looks like. A pentest reports what an attacker can do with it. SecureLayer7's operators chain those flagged findings, IMDSv1 enabled, Lambda role attached, pod runs as root, into the proof-of-exploit your engineers can fix and your auditor will accept.

How AI fits across AWS, Azure, GCP, and Kubernetes pentests →
Two columns side by side, config audit findings on the left and the chained exploit each becomes in a manual pentest on the right.
Two columns side by side, config audit findings on the left and the chained exploit each becomes in a manual pentest on the right.

IN SCOPE.

Four reading frames across your cloud.

Provider-agnostic engagement: AWS, Azure, GCP, or a multi-cloud estate.

IDENTITY
Role + federation chains

Assume-role paths, SSO trust, third-party connectors. One identity, every account it reaches.

WORKLOAD
Compute escape

Container, function, VM boundaries. Read the metadata service, ride the IMDS token outward.

DATA
Read + exfil surface

Bucket policies, snapshot lineage, KMS key sharing, cross-region replication left open.

NETWORK
Lateral routes

VPC peering, private link, transit gateway, service mesh. Hops the config audit doesn't trace.

What we test —

Four cloud surfaces. One engagement.

Each provider gets a manual, threat-modelled review against its real attack surface — control plane, identity, network, and workload. Intensity tunes per scope.

Amazon AWS

IMDSv1 SSRF, IAM role chaining, public S3 enumeration, Lambda over-privilege, EKS cluster-role abuse, KMS key-policy misuse, Cognito user-pool misconfig, Secrets Manager exposure.

Microsoft Azure

Managed identity over-scope, Storage Account SAS leak, Function App env exposure, AKS pod-identity abuse, Key Vault access policy bypass, Azure AD application consent, Logic App secret reuse.

Google Cloud Platform

Workload-identity confusion, service-account impersonation, Cloud Run scope abuse, GKE node pool escape, Secret Manager IAM gaps, Cloud Storage bucket policy bypass, Cloud Functions trigger replay.

Kubernetes

Pod escape via privileged container, RBAC bypass, etcd exposure, kubelet API abuse, sidecar/init container attack paths, NetworkPolicy gaps, admission-controller bypass, ServiceAccount token theft.

CLOUD PENTEST METHODOLOGY.

Eight phases. Control plane to workload.

Threat-modelled to your control plane, identity model, and workload topology. Not a template we run against every cloud.

  1. 01
    Scope & threat-model
  2. 02
    Recon & enumeration
  3. 03
    Configuration review
  4. 04
    Identity exploitation
  5. 05
    Workload & network exploitation
  6. 06
    Vulnerability analysis
  7. 07
    Remediation guidance
  8. 08
    Patch verification

Insights

Cloud security Resources.

Cross-provider attack-path notes: AWS, Azure, GCP, written by the same reviewers who run cloud pentests.

Meet our expert

Meet our expert

Nivedita Singh

Security Advisor & Engagement Lead

10+

Years in offensive security

300+

Engagements led

99.7%

On-time delivery rate

Nivedita scopes cloud-pentest engagements against your account topology, identity model, and workload boundaries. She guides the pod from kick-off through final report and re-test.

  • Scopes AWS, Azure, GCP, and Kubernetes engagements against your real risk model.
  • Owns kick-off, mid-engagement check-ins, and live walkthrough of every finding.
  • Drives remediation review and re-test until every cloud-path finding is closed.
SL7 Lab. Published CVE research.
Nivedita Singh, Security Advisor & Engagement Lead at SecureLayer7

Ready to scope a cloud pentest? Book 30 minutes with Nivedita to walk through your topology, identity model, and timeline.

For startups

Pre-Series A? Apply for the startup program.

A single Autonomous app pentest, CREST-aligned report, engagement-lead signoff, retest included, heavily discounted for pre-Series A startups passing enterprise procurement or SOC 2 due diligence. Eligibility verified on application.

Apply for the startup program →

Tested by industry.

The bug classes named below come from real engagements in each sector. Pick the closest fit.

Tech SaaS

Multi-cloud SaaS, tenant-isolation drift, IAM role-chain abuse.

See Tech SaaS pentest

FinTech

Cloud-native banking workloads, KMS / HSM boundaries, settlement isolation.

See FinTech pentest

Retail

E-commerce on cloud, POS sync APIs, customer-PII surfaces in serverless paths.

See Retail pentest

Built for India engagements

What changes when we deliver here.

  • Compliance scoping

    RBI April 2023 cloud guidance cited per cloud finding

  • Regulatory framework

    MeitY data-localisation trace for every PII store

  • Local engagements

    BFSI multi-cloud engagements across Mumbai and Bengaluru

  • Local pricing

    INR SOW, per-account pricing, GST invoice

  • Compliance scoping

    DPDP Section 9 breach playbook updates included

Indian cloud security questions.

  • Do you cover the RBI cloud guidance for BFSI workloads?

    Yes. Region choice, exit plan, control plane access and shared-responsibility mapping are reviewed. The April 2023 guidance clauses cited per finding.

  • How is MeitY data localisation verified?

    We trace each PII store and backup target. Findings flag any cross-border replication and the exact MeitY rule it breaks.

  • Multi-cloud in scope?

    Yes. AWS, Azure, GCP and OCI in one engagement. The report tags findings by provider and by RBI clause.

  • What about DPDP Section 9 breach readiness?

    Cloud detection gaps are mapped to the 72-hour notification clock. Playbook updates supplied for your IR runbook.

Delivery in India

RBI cloud guidance. MeitY localisation evidence.

Cloud control plane tested against the April 2023 RBI cloud guidance and MeitY data-localisation rules. Region and residency choices reviewed per workload.

Direct line
+91-20-71600505
Office
Pune, Maharashtra, India

Frameworks scoped: CERT-In · DPDP Act · RBI CSF · SEBI CSCRF · ISO/IEC 27001 · PCI DSS.

Sample cloud pentest report, kill-chain · evidence · remediation

Sample engagement report

See what arrives in your inbox.

A pre-vetted sample report: full vulnerability narrative, working PoC, code-level fix guidance. Sent on request after a 5-minute scoping call.