AWS IAMAccessAdvisorReadOnly Managed Policy

AWS IAMAccessAdvisorReadOnly Managed Policy in Access Review Workflows

This managed policy is most useful when teams need evidence about AWS IAM policies and roles without granting the ability to alter them. It supports review roles, auditors, and security analysts who need to inspect last-access data, not administer permissions.

Because it is read-only, it fits a narrowly scoped evidence-gathering function. That makes it appropriate for permission analysis, but not for remediation or policy change, which should remain in separate higher-privilege roles.

The policy sits in the same control plane as broader cloud entitlement review, so it is often used alongside rightsizing and access-analysis work. For teams comparing granted access with actual usage, Cloud PAM and CIEM Guide is a useful navigation point for the wider analysis pattern.

In practical terms, the value of this policy is evidentiary. It helps answer whether permissions are still being used, which is a different question from whether they were originally approved or whether they should remain in place.

What Access Advisor Data Shows

Access Advisor data is a usage signal, not a complete authorization model. It helps show when IAM permissions and services were last accessed, which can reveal stale access, unused entitlements, or accounts that deserve closer review.

That makes the data useful for hygiene checks and review-driven governance, especially in environments with many roles and changing service consumption. It does not prove that access is safe, only that the tracked permission or service has or has not been exercised recently.

The best way to use the policy is as part of a broader review process that also considers role purpose, trust relationships, and operational need. NHIMG’s AWS IAM Policies and Roles Guide covers how those policy and role relationships are evaluated in practice.

Used well, Access Advisor data shortens the path from “this role exists” to “this role still needs these permissions.” That distinction is central to permission governance in AWS.

Why Read-Only Review Access Matters

A policy like this is intentionally narrow because usage evidence can still reveal sensitive operating detail about an AWS environment. Even read-only access may expose which services are active, which permissions are exercised, and where permissions have gone unused.

That creates a governance boundary: the people reviewing access evidence should not automatically be the people who can approve, modify, or inherit the resulting permission changes. Separation of duties keeps the review function from becoming an indirect path to broader IAM control.

For organisations building a larger cloud access programme, read-only review access is one of the controls that makes continuous entitlement analysis workable. It supports the analyst role without turning the analyst into the administrator.

How Teams Should Use It in Practice

This policy is most valuable when attached to a small, named review function such as security analysis, audit support, or IAM hygiene review. It should be paired with clear ownership so the evidence collected through Access Advisor feeds a decision process instead of becoming unused reporting.

The strongest operational pattern is to treat the output as a trigger for follow-up review, not as final proof that access can be removed. Reviewers should combine the data with business context, role intent, and any exception process before changing permissions.

Teams that need a broader cloud entitlement lens should align this policy with their existing privilege review programme. NHIMG’s Cloud PAM and CIEM Guide is the closest companion for translating usage evidence into least-privilege action.

Practitioner note: grant this policy to reviewers who need to observe access history, not to people who are expected to remediate access themselves.

Risk and Threat Considerations

Read-only access to Access Advisor data can still expose security-sensitive usage patterns if it is granted too broadly. The main risk is not configuration change, but overexposure of entitlement intelligence that can help an insider or attacker understand which permissions are live, stale, or high value.

Failure mechanism: excessive review access turns usage telemetry into reconnaissance material, and weak role scoping can let unnecessary observers map privilege patterns across accounts and services.

Impact: organisations may miss stale privilege, keep excessive permissions in place longer than intended, or reveal operational patterns that make later compromise easier to plan.

Related resources from NHI Mgmt Group

• AWS AmazonEKSMCPReadOnlyAccess Managed Policy
• AWS AdministratorAccess Managed Policy
• AWS AmazonBedrockFullAccess Managed Policy
• AWS AmazonBedrockLimitedAccess Managed Policy