Cloud IAM Security Testing: Finding Privilege Escalation Before Attackers Do

Why IAM Is the #1 Attack Vector
IAM is the control plane for everything in the cloud. Every API call, every data access, every service interaction is authorised through IAM. A single misconfigured policy can bypass every other security control you've implemented. Network segmentation doesn't matter if the IAM role grants cross-VPC access. Encryption at rest doesn't matter if the IAM policy allows decryption. IAM testing is cloud security testing.
Privilege Escalation Patterns
Each provider has characteristic escalation patterns. AWS: iam:PassRole + lambda:CreateFunction to execute code with any role. Azure: User Access Administrator to assign any role to yourself. GCP: iam.serviceAccounts.actAs to impersonate any service account. Testing must systematically evaluate these provider-specific patterns.
Credential Lifecycle Testing
Unused access keys, long-lived service account credentials, shared credentials, and credentials in code repositories all represent IAM risk. Testing evaluates credential age, rotation policies, usage patterns, and storage locations.
Cross-Account and Cross-Tenant Access
Multi-account AWS environments, multi-subscription Azure tenants, and multi-project GCP organisations introduce cross-boundary access risks. Testing evaluates trust relationships, delegation configurations, and resource policies that allow cross-boundary access.
IAM Testing with Penetrify
Penetrify's IAM security testing combines automated policy analysis with manual privilege escalation testing. Automated tools identify overpermissive policies and unused credentials. Manual testers verify whether identified weaknesses are genuinely exploitable—because a policy that looks overpermissive may be constrained by SCPs, permission boundaries, or session policies that only manual testing can evaluate.
The Bottom Line
IAM security testing is the highest-ROI activity in cloud security. A single finding can prevent account-wide compromise. Penetrify's hybrid automated + manual approach catches both the policy-level misconfigurations and the exploitation chains that connect them.