Identity and Access Management Access Analyzer helps you to set, verify, and refine your IAM policies by providing a suite of capabilities. Its features include findings for external and unused access, basic and custom policy checks for validating policies, and policy generation to generate fine-grained policies. To start using IAM Access Analyzer to identify external or unused access, you first need to create an analyzer.
External access analyzers help identify potential risks of accessing resources by enabling you to identify any resource policies that grant access to an external principal. It does this by using logic-based reasoning to analyze resource-based policies in your Amazon Web Services environment. An external principal can be another Amazon Web Services account, a root user, an IAM user or role, a federated user, an Amazon Web Services service, or an anonymous user. You can also use IAM Access Analyzer to preview public and cross-account access to your resources before deploying permissions changes.
Unused access analyzers help identify potential identity access risks by enabling you to identify unused IAM roles, unused access keys, unused console passwords, and IAM principals with unused service and action-level permissions.
Beyond findings, IAM Access Analyzer provides basic and custom policy checks to validate IAM policies before deploying permissions changes. You can use policy generation to refine permissions by attaching a policy generated using access activity logged in CloudTrail logs.
This guide describes the IAM Access Analyzer operations that you can call programmatically. For general information about IAM Access Analyzer, see Identity and Access Management Access Analyzer in the IAM User Guide.
tags: - name: Ml paths: /ml/dataprocessing/{id}: GET: summary: Amazon Web Services Getmldataprocessingjob description: Retrieves information about a specified data processing job. See The dataprocessing command. When invoking this operation in a Neptune cluster that has IAM authentication enabled, the IAM user or role making the request must have a policy attached that allows the neptune-db:neptune-db:GetMLDataProcessingJobStatus IAM action in that cluster. operationId: amazonWebServicesGetMLDataProcessingJob tags: - Ml /ml/modeltraining/{id}: GET: summary: Amazon Web Services Getmlmodeltrainingjob description: Retrieves information about a Neptune ML model training job. See Model training using the modeltraining command. When invoking this operation in a Neptune cluster that has IAM authentication enabled, the IAM user or role making the request must have a policy attached that allows the neptune-db:GetMLModelTrainingJobStatus IAM action in that cluster. operationId: amazonWebServicesGetMLModelTrainingJob tags: - Ml /ml/modeltransform/{id}: GET: summary: Amazon Web Services Getmlmodeltransformjob description: Gets information about a specified model transform job. See Use a trained model to generate new model artifacts. When invoking this operation in a Neptune cluster that has IAM authentication enabled, the IAM user or role making the request must have a policy attached that allows the neptune-db:GetMLModelTransformJobStatus IAM action in that cluster. operationId: amazonWebServicesGetMLModelTransformJob tags: - Ml /ml/endpoints: GET: summary: Amazon Web Services Listmlendpoints description: Lists existing inference endpoints. See Managing inference endpoints using the endpoints command. When invoking this operation in a Neptune cluster that has IAM authentication enabled, the IAM user or role making the request must have a policy attached that allows the neptune-db:ListMLEndpoints IAM action in that cluster. operationId: amazonWebServicesListMLEndpoints tags: - Ml /ml/endpoints/{id}: GET: summary: Amazon Web Services Getmlendpoint description: Retrieves details about an inference endpoint. See Managing inference endpoints using the endpoints command. When invoking this operation in a Neptune cluster that has IAM authentication enabled, the IAM user or role making the request must have a policy attached that allows the neptune-db:GetMLEndpointStatus IAM action in that cluster. operationId: amazonWebServicesGetMLEndpoint tags: - Ml /ml/dataprocessing: POST: summary: Amazon Web Services Startmldataprocessingjob description: Creates a new Neptune ML data processing job for processing the graph data exported from Neptune for training. See The dataprocessing command. When invoking this operation in a Neptune cluster that has IAM authentication enabled, the IAM user or role making the request must have a policy attached that allows the neptune-db:StartMLModelDataProcessingJob IAM action in that cluster. operationId: amazonWebServicesStartMLDataProcessingJob tags: - Ml /ml/modeltraining: POST: summary: Amazon Web Services Startmlmodeltrainingjob description: Creates a new Neptune ML model training job. See Model training using the modeltraining command. When invoking this operation in a Neptune cluster that has IAM authentication enabled, the IAM user or role making the request must have a policy attached that allows the neptune-db:StartMLModelTrainingJob IAM action in that cluster. operationId: amazonWebServicesStartMLModelTrainingJob tags: - Ml /ml/modeltransform: POST: summary: Amazon Web Services Startmlmodeltransformjob description: Creates a new model transform job. See Use a trained model to generate new model artifacts. When invoking this operation in a Neptune cluster that has IAM authentication enabled, the IAM user or role making the request must have a policy attached that allows the neptune-db:StartMLModelTransformJob IAM action in that cluster. operationId: amazonWebServicesStartMLModelTransformJob tags: - Ml