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: Contact Evaluations paths: /contact-evaluations/{InstanceId}/{EvaluationId}: POST: summary: Amazon Web Services Updatecontactevaluation description: 'Updates details about a contact evaluation in the specified Amazon Connect instance. A contact evaluation must be in draft state. Answers included in the request are merged with existing answers for the given evaluation. An answer or note can be deleted by passing an empty object ({}) to the question identifier. ' operationId: amazonWebServicesUpdateContactEvaluation tags: - Contact Evaluations /contact-evaluations/{InstanceId}: PUT: summary: Amazon Web Services Startcontactevaluation description: 'Starts an empty evaluation in the specified Amazon Connect instance, using the given evaluation form for the particular contact. The evaluation form version used for the contact evaluation corresponds to the currently activated version. If no version is activated for the evaluation form, the contact evaluation cannot be started. Evaluations created through the public API do not contain answer values suggested from automation. ' operationId: amazonWebServicesStartContactEvaluation tags: - Contact Evaluations /contact-evaluations/{InstanceId}/{EvaluationId}/submit: POST: summary: Amazon Web Services Submitcontactevaluation description: Submits a contact evaluation in the specified Amazon Connect instance. Answers included in the request are merged with existing answers for the given evaluation. If no answers or notes are passed, the evaluation is submitted with the existing answers and notes. You can delete an answer or note by passing an empty object ({}) to the question identifier. If a contact evaluation is already in submitted state, this operation will trigger a resubmission. operationId: amazonWebServicesSubmitContactEvaluation tags: - Contact Evaluations