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AI agent session 2024-09-12T09:36:14-07:00 by Sarang Dharmapurikar
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Identify list out IAM users list in AWS using dagknows
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Assessment of AWS IAM Users for Directly Attached Policies
The workflow involves a comprehensive evaluation of all AWS Identity and Access Management (IAM) users. The primary objective is to identify any users who have policies directly attached to them. This process helps in ensuring that access management is streamlined and adheres to best practices by potentially moving towards role-based access control. Identifying directly attached policies is crucial for maintaining security and compliance within the AWS environment. The outcome of this assessment can guide further actions to optimize policy management.
- 1sXn7vDMMnL6vklISqcCPEvaluate all AWS IAM users and identify any users with directly attached policies
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Evaluate all AWS IAM users and identify any users with directly attached policies
There was a problem that the LLM was not able to address. Please rephrase your prompt and try again.Evaluates IAM users for directly attached policies and tabulates the results.
inputsoutputsimport boto3 import json # Initialize boto3 client for IAM client = boto3.client('iam', aws_access_key_id=getEnvVar('AWS_ACCESS_KEY_ID'), aws_secret_access_key=getEnvVar('AWS_SECRET_ACCESS_KEY')) # Get all IAM users users = client.list_users()['Users'] # Prepare table for results compliance_status = 'COMPLIANT' table = context.newtable() table.num_rows = len(users) + 1 # 2 columns: UserName and AttachedPolicies table.num_cols = 2 table.title = "IAM Users with Directly Attached Policies" table.has_header_row = True table.setval(0, 0, "UserName") table.setval(0, 1, "AttachedPolicies") row = 1 for user in users: user_name = user['UserName'] # List attached user policies attached_policies = client.list_attached_user_policies(UserName=user_name)['AttachedPolicies'] if attached_policies: compliance_status = 'NON_COMPLIANT' policy_names = ', '.join([policy['PolicyName'] for policy in attached_policies]) else: policy_names = 'None' table.setval(row, 0, user_name) table.setval(row, 1, policy_names) row += 1 print("Compliance Status:", compliance_status) print("Table created successfully.")copied1