Finest Approaches for AWS Identity & Access Management

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Finest Approaches for AWS Identity Access
Management
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Identity and Access Management is often
abbreviated as IAM, and its an essential term
that youll frequently encounter all across AWS.
So, it is essential to have a reasonable
comprehension of how it works. As the name
implies, IAM is a permission framework that
controls access to AWS services. It aids in
defining who has access to what in an AWS
account. Secondly, IAM users enable you to give
groups of users or even individual users broad or
specific permissions. Broad permissions can
include items like granting access to an entire
AWS service, such as DynamoDB, while specific
permissions can include read and write access to
a specific S3 bucket. Thirdly, IAM offers a
method for monitoring and editing access to
unique resources by enabling AWS Cloud Trail.
Finally, those of you working in large
corporations with current identity management
systems would be happy to learn that AWS IAM will
easily integrate with them.
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How do AWS Identity and Access Management
work? In order to know how AWS IAM works, you
must be familiar with the four basic concepts,
which can be defined as
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• Users Users are identifiable individuals, and
  with IAM, you can give each one login and
  password so they can access the AWS console on
  their own. However, theyll have a restricted set
  of permissions that you specify. Users have
  secret keys and secret access keys, which are
  used as inputs in your application-level code
  when setting up clients.
• Groups Then there are groups, which essentially
  apply to a collection of users that share a
  mutual interest. Permissions are different for
  different groups. Specific users of a group are
  subject to the same permissions and policies that
  are defined for the group as a whole.
• Roles Then we have roles, which are similar to
  user accounts in AWS. We attach policies to roles
  as we do for the users. In AWS IAM, we provide
  the access permissions to roles instead of a
  user. If an instance wants to access an AWS
  account, well make it a role so that it can
  access the account without a login id and
  password. Roles can also be used by an AWS
  service to access another VM.
• Policies Finally, there are policies, which is
  an AWS object that determines the permissions of
  identity or resource when it is connected with
  it. When an IAM principal (user or role) makes a
  request, AWS evaluates these policies. They come
  in two variations allow or deny. The policy
  permissions decide whether the request is allowed
  or denied.

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AWS IAM Best Practices Here are some best
practices that must be followed while using IAM
to secure your Cloud Infrastructure




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1. Make use of the Least Privilege Model  You must
   provide the user with the bare minimum of
   permissions they need to complete their
   assignment. Dont give people too many
   permissions because this could result in security
   flaws or people unintentionally deleting
   production database tables. So, using the least
   privilege model is a wise approach.
2. For privileged users, allow multi-factor
   authentication (MFA) For protecting enterprise
   data and networks, strong passwords are
   important, but they arent enough. A breach in
   authentication causes the majority of attacks.
   Security experts widely recommend Multi-factor
   authentication. AWS also recommends that all
   privileged IAM users use multi-factor
   authentication. Users that have access to APIs or
   other sensitive tools fall into this category.
   AWS users have a few options for enabling the
   second level of authentication, including
   security token-based authentication and SMS
   authentication.
3. When changing policies, use caution Its all too
   easy to change a policy without thinking about
   it, only to discover that one of your development
   applications was using it and suddenly lost
   access to a resource. Just be cautious when
   making changes to the IAM configuration in
   development.
4. For added protection, use policy
   conditions Policies are a series of JSON
   statements that grant users specific permissions.
   AWS has introduced an optional component called
   Conditions to policies to provide more
   security. The condition block always returns a
   boolean output true or false, indicating
   whether the request is granted or denied by the
   policy.

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• 5. Remove any credentials that arent needed It
  is always recommended to audit user credentials
  regularly and remove them if they are no longer
  in use. AWS has a credential report that allows
  you to monitor the lifecycle of passwords and
  access keys right out of the box. The report
  contains user information, the date the account
  was established, the last time the password was
  used, and the last time the password was changed.
  If youve set a password rotation policy, this
  report will also include the date and time that
  the user must change their password.
• 6.Where possible, assign permissions using
  AWS-defined policies If youre new to AWS and
  have trouble creating and maintaining your own
  policies for various job functions, consider
  starting with AWS-defined policies wherever
  possible. These policies are well-aligned with a
  broad spectrum of traditional information
  technology roles. The auto-update functionality
  provided by AWS is a significant benefit of using
  these policies. Since these policies are modified
  whenever a new AWS service or API is released,
  they are still up to date. This saves a
  significant amount of time and makes life
  simpler.
• 7.Assign Permissions to IAM Users Using
  Groups Creating groups and assigning permissions
  to them is often simpler than defining
  permissions for individual users. This allows you
  to build several groups for different job
  functions and assign appropriate permissions to
  each group before assigning users to those
  groups. This way of handling permissions is not
  only more straightforward, its much safer and
  easier to handle.

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