Cloud Security Research

Cloud Security Research & Cloud Penetration Testing Insights

Redbot Security’s Cloud Security Research hub covers cloud penetration testing, AWS security, Azure security, GCP security, IAM risk, Kubernetes testing, storage exposure, SaaS integrations, cloud misconfiguration, and the attack paths created by modern cloud environments.

For teams evaluating cloud risk as part of a broader security program, Redbot’s cloud security testing services help validate whether cloud configuration, identity, storage, container, and access-control weaknesses can become real attack paths.

AWS / Azure / GCP IAM Security Kubernetes Storage Exposure Cloud Attack Paths
Cloud security research and cloud penetration testing visualization
Research Areas

Core Cloud Security Topics Covered in This Hub

Cloud security risk is shaped by identity, permissions, storage, networking, SaaS integrations, Kubernetes, serverless services, logging, and architecture decisions. This hub organizes Redbot research around the cloud exposures that attackers commonly chain together.

Testing Methodology

Why Cloud Security Testing Requires Attack-Path Validation

Cloud security risk is rarely limited to one misconfiguration. A low-privilege identity may reach a storage bucket. A service account may hold excessive permissions. A Kubernetes workload may expose secrets. A SaaS integration may create an unexpected trust path. An exposed API may connect directly to sensitive cloud resources.

Redbot’s cloud security testing services are designed to validate whether cloud weaknesses are actually exploitable, whether they can be chained, and whether they create business risk beyond configuration scanner output.

IAM determines blast radius Cloud testing should validate roles, policies, service accounts, cross-account trust, privilege escalation paths, and identity relationships.
Storage exposure creates direct data risk Object storage, snapshots, backups, logs, data lakes, and cloud databases may expose sensitive information when access controls fail.
Kubernetes changes the attack surface Clusters introduce workload identities, secrets, RBAC, container boundaries, admission controls, and lateral movement paths.
Manual validation finds chained cloud paths Cloud scanners can detect possible issues, but attack-path validation shows whether an attacker can combine them into real compromise.
Testing Priorities

Cloud Security Testing Priorities

Security teams should validate the full cloud attack surface across identity, storage, SaaS integrations, Kubernetes, serverless services, network exposure, logging, and connected application paths.

01

IAM and Privilege Escalation

Test roles, policies, service accounts, cross-account trust, privilege escalation routes, and identity paths that expand attacker access.

02

Cloud Storage Exposure

Validate object storage, backups, snapshots, logs, public access, data lakes, and sensitive data repositories for access-control failures.

03

Kubernetes and Containers

Assess RBAC, secrets, workloads, network policies, admission controls, image exposure, cluster permissions, and container escape risk.

04

Exposed Cloud Services

Review internet-facing services, management interfaces, databases, serverless endpoints, APIs, load balancers, and ingress exposure.

05

SaaS and Third-Party Trust

Validate SaaS integrations, OAuth grants, marketplace apps, external identities, vendor access, and connected cloud workflows.

06

Secrets and Key Management

Assess secrets storage, hardcoded keys, cloud tokens, key rotation, vault configuration, environment variables, and credential exposure.

07

Cloud Network Paths

Test segmentation, security groups, peering, private endpoints, VPN paths, ingress rules, egress controls, and lateral movement routes.

08

Monitoring and Logging

Determine whether suspicious cloud access, privilege changes, storage events, API abuse, and lateral movement would be detected.

09

Remediation Validation

Retest fixed issues, confirm identity and storage controls, validate logging improvements, and prove that cloud risk was reduced.

Need Cloud Security Testing Beyond Research?

Redbot Security helps organizations validate AWS, Azure, GCP, IAM risk, storage exposure, Kubernetes security, SaaS integrations, cloud APIs, logging gaps, and cloud attack paths through senior-led security testing.

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