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.
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.
Cloud testing for AWS, Azure, GCP, IAM, storage, SaaS integrations, privilege escalation paths, exposed services, and misconfiguration risk.
Best practices for reviewing cloud architecture, identity exposure, configuration drift, storage permissions, logging, and platform-specific risk.
Cluster exposure, workload permissions, RBAC, secrets, container escape paths, lateral movement, and cloud-native attack surface validation.
Senior-led security validation across cloud environments, applications, APIs, networks, AI systems, and attack paths that matter to the business.
These guides cover practical cloud security issues that attackers use to abuse identity, expand permissions, expose data, pivot through cloud services, and chain misconfigurations into broader compromise paths.
Cloud Reviews
How cloud reviews identify misconfiguration, identity exposure, privilege issues, and architecture weaknesses across major platforms.
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Kubernetes
Cloud-native attack-surface validation for clusters, workloads, identities, misconfigurations, and lateral movement risk.
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Cloud APIs
How APIs often connect to cloud services, storage, identity, and backend systems that shape real-world exposure.
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AI + Cloud
Why AI systems often require cloud-aware validation across APIs, storage, identity, retrieval systems, and agent-connected tools.
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App + Cloud
Application-layer research on APIs, mobile backends, authorization flaws, and attack paths that often connect into cloud environments.
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Testing Services
Senior-led validation across cloud, applications, APIs, identity, networks, AI systems, and exploit chains that matter to the business.
View Service →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.
Security teams should validate the full cloud attack surface across identity, storage, SaaS integrations, Kubernetes, serverless services, network exposure, logging, and connected application paths.
Test roles, policies, service accounts, cross-account trust, privilege escalation routes, and identity paths that expand attacker access.
Validate object storage, backups, snapshots, logs, public access, data lakes, and sensitive data repositories for access-control failures.
Assess RBAC, secrets, workloads, network policies, admission controls, image exposure, cluster permissions, and container escape risk.
Review internet-facing services, management interfaces, databases, serverless endpoints, APIs, load balancers, and ingress exposure.
Validate SaaS integrations, OAuth grants, marketplace apps, external identities, vendor access, and connected cloud workflows.
Assess secrets storage, hardcoded keys, cloud tokens, key rotation, vault configuration, environment variables, and credential exposure.
Test segmentation, security groups, peering, private endpoints, VPN paths, ingress rules, egress controls, and lateral movement routes.
Determine whether suspicious cloud access, privilege changes, storage events, API abuse, and lateral movement would be detected.
Retest fixed issues, confirm identity and storage controls, validate logging improvements, and prove that cloud risk was reduced.
Cloud research should funnel into practical security validation. These related Redbot services help organizations move from reading about cloud risk to proving whether that risk exists in their own environment.
Security testing for AWS, Azure, GCP, IAM, storage exposure, SaaS integrations, Kubernetes, cloud misconfiguration, and attack paths.
Senior-led manual security validation across cloud, applications, APIs, networks, AI systems, and exploit chains that matter to the business.
Manual testing for web apps, APIs, authentication, authorization, business logic, application workflows, and cloud-connected data paths.
Testing for BOLA, IDOR, authorization flaws, token handling issues, workflow abuse, sensitive data exposure, and cloud-connected APIs.
Validation of AI workflows, prompt injection, RAG systems, agent tool abuse, model-connected APIs, and cloud-based AI infrastructure.
Talk with Redbot about AWS, Azure, GCP, IAM, Kubernetes, cloud storage, SaaS integrations, and cloud attack-path validation.
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.