CLOUD SECURITY TESTING

Cloud Security
Reviews
for AWS, GCP, and Azure

Cloud security reviews validate whether IAM, storage, networking, logging, secrets, workloads, Kubernetes, CI/CD, serverless, backups, and control-plane access are configured to resist real-world attack paths.

Updated May 2026

AWS + GCP + Azure Security

Redbot Security Research

Executive Overview

Cloud security reviews are no longer optional checklist exercises. AWS, Google Cloud Platform, and Microsoft Azure environments now host production applications, customer data, regulated records, identity systems, CI/CD pipelines, Kubernetes clusters, serverless workflows, SaaS integrations, backups, logs, secrets, and business-critical infrastructure.

The most damaging cloud incidents often come from combinations of small failures: excessive IAM permissions, public storage, weak network boundaries, exposed metadata services, missing logs, over-permissioned service accounts, unreviewed OAuth apps, unmanaged secrets, insecure CI/CD workflows, and backups that were never tested under real recovery conditions.

Real incidents make the point clearly. Capital One’s 2019 cloud breach showed how SSRF, temporary credentials, S3 access, and cloud governance failures can combine into regulatory exposure, including an OCC civil money penalty. UniSuper’s 2024 Google Cloud outage showed why cloud resilience and independent backup strategy matter even when an event is not a cyberattack. Recent Azure Blob exposure cases show how public storage mistakes can expose millions of resumes and sensitive personal records. Research on vulnerable cloud storage shows that attackers actively discover, access, download, and interact with exposed buckets, not merely stumble into them by accident.

Redbot Security validates cloud risk through cloud security testing, web application and API penetration testing, internal and external penetration testing, manual penetration testing, compliance security testing, and advanced cybersecurity solutions.

01

Why Cloud Security Reviews Matter

Cloud platforms move quickly. Teams deploy infrastructure through consoles, Terraform, CI/CD pipelines, APIs, managed services, Kubernetes controllers, serverless functions, marketplace integrations, and third-party SaaS connectors. That speed creates business value, but it also creates configuration drift and privilege sprawl.

A cloud security review validates whether the environment is secure in practice. It examines how identities are granted access, how data is stored, how networks are segmented, how workloads are exposed, how secrets are managed, how logs are collected, and whether attackers can chain small issues into larger compromise paths.

Cloud Risk Area	Why It Matters
IAM and Service Accounts	Excessive privileges can turn a small foothold into broad data, workload, or control-plane access.
Storage Exposure	Public buckets, blobs, snapshots, backups, and logs can expose customer, employee, financial, source code, or healthcare data.
Network Boundaries	Weak segmentation can expose databases, admin panels, Kubernetes APIs, metadata services, and internal services.
Logging and Detection	Missing audit trails can delay breach discovery and weaken incident response.
Secrets and CI/CD	Exposed tokens, build secrets, deployment keys, and automation roles can compromise production.
Backup and Recovery	Cloud resilience depends on tested backups, cross-account recovery, immutable storage, and restore procedures.

Cloud security is about attack paths, not isolated settings.

A misconfigured storage bucket, over-permissioned role, exposed workload, or weak CI/CD secret becomes dangerous when it unlocks the next step in the attack chain.

02

Cloud Breach and Outage Lessons

Cloud incidents show that the shared responsibility model does not remove customer responsibility. Cloud providers secure the platform, but customers must secure identities, workloads, data, access paths, logging, and configuration.

Incident or Research Example	Cloud Lesson	Review Priority
Capital One AWS Breach	SSRF, metadata access, temporary credentials, IAM scope, and S3 access can combine into major data exposure.	Review IAM permissions, metadata protections, workload exposure, S3 access, logging, and anomaly detection.
UniSuper Google Cloud Outage	A cloud provisioning misconfiguration caused deletion of a private cloud subscription, making backup independence and resilience critical.	Review backup isolation, recovery architecture, cloud account dependencies, disaster recovery tests, and provider-level failure scenarios.
Azure Blob Resume Exposure	Misconfigured cloud storage can expose large volumes of personal data with direct phishing, fraud, and privacy consequences.	Review public access, anonymous listing, data classification, access policies, monitoring, and storage inventory.
Cloud Bucket Research	Researchers have shown that bucket names can be guessed and that vulnerable cloud storage is actively accessed, downloaded, modified, and abused.	Review storage naming, exposure monitoring, honeytoken alerts, access logs, data sensitivity, and public internet discoverability.
Mobile App Cloud Misconfiguration	Mobile apps often embed cloud endpoints, API keys, storage paths, or backend assumptions that expose personal, financial, or healthcare data.	Review mobile backends, API keys, Firebase-style exposure, storage rules, identity enforcement, and authorization boundaries.

The lesson is not that one provider is unsafe. The lesson is that cloud environments require continuous validation across identity, storage, workloads, networking, monitoring, backup, and recovery.

03

AWS, GCP, and Azure Review Areas

AWS, Google Cloud, and Azure use different service names, but the security questions are similar. Who has access? What data is exposed? Which workloads are reachable? Are secrets protected? Can attackers move from one service to another? Are logs complete enough to investigate?

Security Area	AWS Examples	GCP Examples	Azure Examples
Identity and Access	IAM users, roles, policies, SCPs, STS, IAM Identity Center	IAM roles, service accounts, Workload Identity, org policies	Entra ID, RBAC, managed identities, PIM, conditional access
Storage	S3 buckets, EBS snapshots, EFS, Glacier, backups	Cloud Storage, Persistent Disk snapshots, Filestore, backups	Blob storage, file shares, managed disks, snapshots, backup vaults
Networking	VPCs, security groups, NACLs, ALB/NLB, PrivateLink	VPC firewall rules, load balancers, Private Service Connect	VNets, NSGs, Application Gateway, Private Link, firewalls
Logging	CloudTrail, GuardDuty, Config, VPC Flow Logs, Security Hub	Cloud Audit Logs, Security Command Center, VPC Flow Logs	Activity Logs, Defender for Cloud, Sentinel, NSG flow logs
Secrets	Secrets Manager, Parameter Store, KMS, CI/CD secrets	Secret Manager, Cloud KMS, build secrets	Key Vault, Managed HSM, DevOps secrets, app settings
Workloads	EC2, ECS, EKS, Lambda, RDS, API Gateway	Compute Engine, GKE, Cloud Run, Cloud Functions, Cloud SQL	VMs, AKS, App Service, Functions, SQL Database, API Management

A strong review does not stop at inventory. It validates privilege paths, public exposure, data access, workload trust, and whether controls are actually enforced.

04

IAM and Service Account Risk

Identity is the center of cloud security. Attackers rarely need to exploit a kernel bug if they can obtain a token, assume a role, abuse a managed identity, access an over-permissioned service account, or use a CI/CD credential.

Cloud IAM review should identify who can access production, who can read sensitive storage, who can create keys, who can modify policies, who can access logs, and who can grant themselves more access.

IAM Risk	Cloud Impact
Over-Permissioned Roles	Attackers can expand from limited access into storage, compute, secrets, or administrative control.
Long-Lived Access Keys	Leaked keys in repositories, logs, or developer machines can provide persistent access.
Service Account Sprawl	Unused or undocumented identities may retain sensitive permissions after projects change.
Privilege Escalation Paths	Misconfigured permissions may allow users to attach policies, impersonate identities, or modify roles.
Weak Conditional Access	Administrative access may be possible from unmanaged devices, unexpected countries, or weak MFA states.
Unreviewed Third-Party Access	Vendors, SaaS tools, support integrations, and OAuth apps may have broad access that no one owns.

Cloud breaches often become identity breaches.

The most important question is not only what service is exposed. It is what identity the attacker can use after that exposure.

05

Cloud Storage and Data Exposure

Storage misconfiguration remains one of the most common and damaging cloud risks. Buckets, blobs, snapshots, backup vaults, logs, exports, data lakes, file shares, and artifacts can all contain sensitive information.

Attackers search for exposed storage because it often contains direct business value: customer data, credentials, source code, resumes, medical records, financial exports, analytics datasets, access logs, and backups.

Storage Review Area	Validation Objective
Public Access	Confirm that buckets, blobs, containers, and file shares are not publicly readable or writable unless explicitly intended.
Anonymous Listing	Validate whether attackers can enumerate objects, directories, backups, logs, or exports.
Cross-Account Access	Review external principals, vendor accounts, shared projects, and partner roles.
Sensitive Data Classification	Identify customer records, PII, PHI, PCI data, secrets, logs, and regulated information.
Encryption and Key Management	Review customer-managed keys, key rotation, key access, and separation of duties.
Access Logging	Confirm that object access is logged, retained, monitored, and alertable.

The TalentHook Azure Blob exposure and academic bucket research both reinforce the same point: public cloud storage mistakes are discoverable, scalable, and business-impacting.

06

Networking, Workload, and Metadata Risk

Cloud workloads often become the bridge between application vulnerabilities and cloud control-plane access. A vulnerable web application, SSRF flaw, exposed admin panel, insecure container, or weak API may allow attackers to reach metadata services, internal endpoints, or service credentials.

Cloud reviews should validate whether workloads can reach sensitive internal services, whether metadata access is controlled, whether security groups and firewall rules are tight, and whether exposed workloads are hardened.

Workload Risk	Review Focus
SSRF to Metadata	Validate metadata service protections, workload identity boundaries, and application-layer SSRF resistance.
Exposed Admin Interfaces	Review public access to dashboards, panels, management APIs, database consoles, and CI/CD tools.
Overly Broad Security Groups	Identify public ingress, unrestricted egress, management ports, and unnecessary lateral paths.
Kubernetes Exposure	Review API server access, RBAC, secrets, admission controls, network policies, and container privileges.
Serverless Permissions	Validate function roles, triggers, environment secrets, event sources, and cross-service access.
Database Reachability	Confirm databases are not publicly exposed and that private access paths are restricted.

Related services include web application and API penetration testing because application-layer flaws frequently become cloud-layer attack paths.

07

Logging, Detection, and Response Gaps

Cloud logging must answer basic breach questions quickly: who accessed the data, from where, using what identity, against which resources, through what API calls, and whether the access was normal.

Many cloud reviews discover that logs exist but are incomplete, not centralized, not retained long enough, not monitored, or not mapped to actual attack behaviors.

Detection Area	Validation Objective
Control-Plane Logs	Confirm administrative activity is captured across accounts, subscriptions, projects, and regions.
Data Access Logs	Validate visibility into object reads, downloads, exports, database access, and backup access.
Identity Events	Monitor role assumptions, service account impersonation, key creation, MFA changes, and privilege updates.
Network Telemetry	Review flow logs, load balancer logs, firewall events, DNS logs, and private endpoint activity.
Threat Detection	Validate GuardDuty, Security Command Center, Defender for Cloud, SIEM rules, and alert routing.
Response Playbooks	Test escalation paths for key compromise, public storage, suspicious API activity, and data exfiltration.

Cloud detection should be validated against attack paths, not only dashboard configuration.

08

CI/CD, Secrets, and Supply Chain Risk

CI/CD pipelines often have powerful cloud permissions because they deploy production infrastructure, containers, functions, applications, databases, and configuration. If attackers compromise the pipeline, they may not need to attack production directly.

Cloud security reviews should include build systems, deployment roles, infrastructure-as-code, container registries, artifact stores, secrets, tokens, environment variables, and third-party integration permissions.

Deployment roles with administrator-level permissions.

Hardcoded cloud keys in source code, scripts, containers, or build logs.

CI/CD secrets available to untrusted branches, forks, or low-privilege contributors.

Container images containing tokens, SSH keys, credentials, or sensitive configuration.

Infrastructure-as-code drift between intended controls and deployed environments.

Third-party marketplace, SaaS, or DevOps integrations with excessive cloud access.

Strong cloud security reviews connect engineering workflows to production risk.

09

Backup, Resilience, and Recovery

The UniSuper outage is a reminder that cloud resilience is not only about security controls. Organizations must also prepare for misconfiguration, account-level failure, region issues, accidental deletion, provider events, ransomware, insider misuse, and corrupted backups.

Cloud reviews should validate whether backups are isolated, encrypted, immutable where appropriate, regularly tested, recoverable across accounts or providers, and protected from the same identities that can damage production.

Resilience Area	Review Objective
Backup Isolation	Ensure backups are protected from compromised production roles, accidental deletion, and account-level failure.
Cross-Region / Cross-Account Recovery	Validate whether critical systems can be restored if a region, account, project, or subscription is unavailable.
Immutable Backups	Use retention locks and tamper-resistant storage for critical data where appropriate.
Restore Testing	Confirm that backups are usable and recovery times match business expectations.
Key and Secret Recovery	Validate whether encrypted backups can be restored if key material or secret stores are unavailable.
Disaster Recovery Evidence	Document test results, gaps, owners, and remediation actions for leadership and compliance.

Backups are not real until they restore.

Cloud resilience depends on tested recovery, not only configured backup jobs.

10

How Redbot Performs Cloud Security Reviews

Redbot Security performs cloud reviews by validating real attack paths across AWS, Google Cloud, Azure, SaaS integrations, applications, APIs, identities, networks, workloads, secrets, logging, and recovery processes.

The objective is to determine whether cloud weaknesses can be exploited in context and whether they can be chained into data exposure, privilege escalation, production access, control-plane compromise, service disruption, or compliance impact.

Review Area	Redbot Validation Focus
Cloud IAM	Roles, policies, service accounts, managed identities, privilege escalation, external access, and least privilege.
Data Exposure	Storage, snapshots, backups, databases, logs, public access, cross-account sharing, and sensitive data paths.
Workloads and Network	Compute, containers, Kubernetes, serverless, metadata exposure, admin panels, segmentation, and reachability.
Secrets and CI/CD	Build systems, repositories, deployment roles, artifact stores, token exposure, and infrastructure-as-code drift.
Logging and Detection	Audit logs, data access logs, cloud threat detection, SIEM coverage, alert routing, and response playbooks.
Resilience and Retesting	Backup isolation, restore testing, remediation validation, and proof that attack paths were closed.

Redbot’s cloud security testing helps organizations move from assumed cloud security to validated cloud resilience.

Frequently Asked Questions

What is a cloud security review?

A cloud security review validates whether AWS, GCP, Azure, and connected SaaS environments are configured to protect identities, data, workloads, networks, secrets, logs, backups, and control-plane access from real-world attack paths.

Why do cloud breaches happen?

Cloud breaches often happen when misconfigurations, excessive IAM permissions, exposed storage, weak application controls, leaked secrets, missing logs, or insecure service integrations combine into an exploitable attack path.

What should be reviewed in AWS?

AWS reviews should include IAM, S3, EC2, Lambda, EKS, RDS, VPC security, CloudTrail, GuardDuty, Config, KMS, Secrets Manager, backup controls, and CI/CD permissions.

What should be reviewed in Google Cloud?

Google Cloud reviews should include IAM roles, service accounts, Cloud Storage, GKE, Cloud Run, Cloud Functions, VPC firewall rules, Cloud Audit Logs, Security Command Center, Secret Manager, and recovery architecture.

What should be reviewed in Azure?

Azure reviews should include Entra ID, RBAC, managed identities, Blob storage, Key Vault, virtual networks, NSGs, AKS, App Service, Functions, Activity Logs, Defender for Cloud, Sentinel, and backup vaults.

How often should cloud security reviews be performed?

Cloud security reviews should be performed regularly and after major architecture changes, new production deployments, cloud migrations, mergers, incident response events, compliance deadlines, or major IAM and network changes.

How does Redbot Security perform cloud reviews?

Redbot Security performs cloud reviews by validating IAM, storage, workloads, networking, secrets, CI/CD, logging, detection, backups, and attack paths across AWS, GCP, Azure, applications, APIs, and connected services.