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AWS Adds Roles in Identity and Access Management Policy Simulator

Amazon Web Services (AWS) recently announced the addition of roles to its Identity and Access Management (IAM) Policy Simulator. It’s one more way that admins can protect their companies from costly data breaches.

How IAM Policy Simulator Works

IAM Policy Simulator is a sandbox environment for testing security policies before putting them into production. Instead of implementing policies and getting a flurry of Help Desk complaints, companies can test the effect that policies will have on different users, groups, and roles.

Within the simulator, admins select users, groups, or roles. Then, they choose different AWS resources, such as S3 or DynamoDB. Within the resource, they choose actions, such as allowing access to an S3 bucket. Then, they run the simulation to determine whether the user, group, or role would have access to the requested action.

Granular policy actions like these, in addition to full-scale AWS security services, protect critical data in two important ways. First, they prevent internal data theft or unauthorized access. Second, they ensure that thieves who steal employee login credentials can’t necessarily get access to sensitive data.

Testing Role-Based Policies

The new updates to IAM Policy Simulator let admins test different kinds of role-based privilege sets. Admins can now troubleshoot permissions granted to each role, ensuring that people in certain positions have access to the resources they need without gaining unauthorized entry into resources they don’t need. Setting up policies based on roles makes onboarding and transfers much easier. Instead of writing individual policy statements for each user, admins can input a user, select the user’s role to automatically implement a policy, and then customize as needed.

With IAM Policy Simulator, an admin chooses a user, a resource, and an action to see whether a user can get to a certain piece of information. After running the simulation, admins see a list of potential actions and information about whether access would be allowed or denied. Then, they can show specific sections of policy determining whether the user is allowed or denied. If an individual user needs access above and beyond a role, admins can customize the policy to override the existing denial.

IAM Policy Simulator shows admins both single policies as well as the results of combinations of policies. Admins can test existing policies when users have problems, and they can also test new policies before implementing them within the organization.

Limitations of Policy

Granular access policies on their own aren’t enough to keep data safe. Without additional AWS security tools, including monitoring, firewalls, whitelisting, sandboxing, and deep discovery, companies can still find themselves facing costly data breaches.

Also, if admins don’t stay on top of policy changes, they place the company at risk. Failure to combine tested policies with AWS security measures could mean big losses for any business:

IAM Policy Simulator’s new role-based testing makes it much easier to troubleshoot policies and prevent hassles before they happen. When combined with AWS security services, granular policies offer strong protection against data breaches.