KSI-IAM-ELP—Ensuring Least Privilege
Formerly KSI-IAM-05
>Control Description
>NIST 800-53 Controls
>Trust Center Components4
Ways to express your implementation of this indicator — approaches vary by organization size, complexity, and data sensitivity.
From the field: Mature implementations express least privilege through automated enforcement — default-deny IAM policies, permission boundaries enforced by cloud IAM, and privilege escalation monitoring feeding SIEM dashboards. Least privilege becomes a measurable, continuously monitored property with enforcement metrics rather than a documented policy aspiration.
Least Privilege Implementation
How least privilege is enforced across the platform — default-deny policies, permission boundaries, and automated enforcement mechanisms
Privilege Escalation Monitoring
Dashboard expressing privilege boundary health — escalation attempts, unauthorized access patterns, and permission drift detection
Least Privilege Policy Enforcement
Automated enforcement of permission boundaries — policy engines preventing over-provisioned roles from being assigned
Permission Boundary Documentation
Permission boundaries and maximum privilege levels by role
>Programmatic Queries
CLI Commands
aws iam list-attached-user-policies --user-name <username> --output tableaws iam simulate-principal-policy --policy-source-arn arn:aws:iam::<account>:user/<username> --action-names s3:GetObject s3:PutObject --output tableaws iam list-entities-for-policy --policy-arn arn:aws:iam::aws:policy/AdministratorAccess --output table>20x Assessment Focus Areas
Aligned with FedRAMP 20x Phase Two assessment methodology
Completeness & Coverage:
- •Does least privilege enforcement apply to all identity types — users, service accounts, machine identities, federated identities, and third-party integrations?
- •Are there IAM policies with wildcard permissions (e.g., `*:*`, `s3:*`) that have not been scoped down, and how are those exceptions tracked?
- •How do you ensure least privilege extends to data access (row-level, column-level) and not just infrastructure permissions?
- •When new applications or services are integrated, what process validates their access is scoped to only what they need before production deployment?
Automation & Validation:
- •What automated tools detect privilege creep — permissions granted over time that exceed current job requirements?
- •How do you identify and flag unused permissions (e.g., IAM policies that were granted but never exercised in the past 90 days)?
- •What happens when an access review identifies excessive privileges — is access automatically revoked, or does it require manual action, and what is the SLA?
- •How do you test that access restrictions actually work — do you run access boundary tests or attempt to access resources beyond the permitted scope?
Inventory & Integration:
- •What tools analyze effective permissions across your cloud environment (IAM Access Analyzer, Cloud Asset Inventory, custom scripts)?
- •How does your access review process integrate with your HR system to correlate permissions with current job roles and responsibilities?
- •What tools discover and flag overly permissive service account or machine identity permissions?
- •How do you maintain a map of which resources each identity can access, and is this map generated programmatically?
Continuous Evidence & Schedules:
- •How frequently are access reviews conducted, and what evidence demonstrates every review completed on schedule with documented outcomes?
- •Is effective permission data available via API or dashboard showing each identity's actual access scope?
- •How do you detect when least privilege posture degrades — for example, when new broad permissions are granted outside the review cycle?
- •What metrics trend over time to demonstrate that privilege scope is tightening rather than expanding?
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