AWS Identity and Access Management (IAM) Features

As reported in 30 AWS Identity and Access Management (IAM) reviews. Simplifies or automates user provisioning, deprovisioning, and other user role changes.

Offers password management tools to end users. 28 reviewers of AWS Identity and Access Management (IAM) have provided feedback on this feature.

Offers single sign-on functionalities to end users, allowing them to authenticate once and be given access to all of their company accounts. This feature was mentioned in 28 AWS Identity and Access Management (IAM) reviews.

Enforces user-access policies based on individual, role type, group membership or other factors to prevent unauthorized access to company systems and data. This feature was mentioned in 27 AWS Identity and Access Management (IAM) reviews.

Authenticates users prior to granting access to company systems. 30 reviewers of AWS Identity and Access Management (IAM) have provided feedback on this feature.

Based on 29 AWS Identity and Access Management (IAM) reviews. Offers multi-factor authentication methods to verify a user's identity.

Provides an IAM solution for on-prem systems. 26 reviewers of AWS Identity and Access Management (IAM) have provided feedback on this feature.

Provides an IAM solution for cloud-based systems. This feature was mentioned in 28 AWS Identity and Access Management (IAM) reviews.

Based on 27 AWS Identity and Access Management (IAM) reviews. Tracks user activities across protected systems.

Provides reporting functionality. 26 reviewers of AWS Identity and Access Management (IAM) have provided feedback on this feature.

Log and report all modifications to user roles and access rights.

Provide standardized reports for regulatory compliance and audits.

Grant access based on user attributes, location, device posture or risk.

Automate onboarding, offboarding, and access reviews throughout user lifecycles.

Enable users to reset passwords and update profiles without admin support.

Identify unusual access patterns using machine learning models.

Dynamically adjust access policies based on risk and AI-generated insights.

Suggest appropriate user roles based on usage patterns and peer behavior.