Seleziona le tue preferenze relative ai cookie

Utilizziamo cookie essenziali e strumenti simili necessari per fornire il nostro sito e i nostri servizi. Utilizziamo i cookie prestazionali per raccogliere statistiche anonime in modo da poter capire come i clienti utilizzano il nostro sito e apportare miglioramenti. I cookie essenziali non possono essere disattivati, ma puoi fare clic su \"Personalizza\" o \"Rifiuta\" per rifiutare i cookie prestazionali.

Se sei d'accordo, AWS e le terze parti approvate utilizzeranno i cookie anche per fornire utili funzionalità del sito, ricordare le tue preferenze e visualizzare contenuti pertinenti, inclusa la pubblicità pertinente. Per continuare senza accettare questi cookie, fai clic su \"Continua\" o \"Rifiuta\". Per effettuare scelte più dettagliate o saperne di più, fai clic su \"Personalizza\".

Crea un framework personalizzato Audit Manager da un pacchetto di AWS Config conformità utilizzando un SDK AWS

Modalità Focus
Crea un framework personalizzato Audit Manager da un pacchetto di AWS Config conformità utilizzando un SDK AWS - Gestione audit AWS

Le traduzioni sono generate tramite traduzione automatica. In caso di conflitto tra il contenuto di una traduzione e la versione originale in Inglese, quest'ultima prevarrà.

Le traduzioni sono generate tramite traduzione automatica. In caso di conflitto tra il contenuto di una traduzione e la versione originale in Inglese, quest'ultima prevarrà.

L'esempio di codice seguente mostra come:

  • Ottieni un elenco di pacchetti di AWS Config conformità.

  • Crea un controllo personalizzato Audit Manager per ogni regola gestita in un pacchetto di conformità.

  • Crea un framework personalizzato di Audit Manager che contenga i controlli.

Python
SDK per Python (Boto3)
Nota

C'è altro su. GitHub Trova l'esempio completo e scopri di più sulla configurazione e l'esecuzione nel Repository di esempi di codice AWS.

import logging import boto3 from botocore.exceptions import ClientError logger = logging.getLogger(__name__) class ConformancePack: def __init__(self, config_client, auditmanager_client): self.config_client = config_client self.auditmanager_client = auditmanager_client def get_conformance_pack(self): """ Return a selected conformance pack from the list of conformance packs. :return: selected conformance pack """ try: conformance_packs = self.config_client.describe_conformance_packs() print( "Number of conformance packs fetched: ", len(conformance_packs.get("ConformancePackDetails")), ) print("Fetched the following conformance packs: ") all_cpack_names = { cp["ConformancePackName"] for cp in conformance_packs.get("ConformancePackDetails") } for pack in all_cpack_names: print(f"\t{pack}") cpack_name = input( "Provide ConformancePackName that you want to create a custom " "framework for: " ) if cpack_name not in all_cpack_names: print(f"{cpack_name} is not in the list of conformance packs!") print( "Provide a conformance pack name from the available list of " "conformance packs." ) raise Exception("Invalid conformance pack") print("-" * 88) except ClientError: logger.exception("Couldn't select conformance pack.") raise else: return cpack_name def create_custom_controls(self, cpack_name): """ Create custom controls for all managed AWS Config rules in a conformance pack. :param cpack_name: The name of the conformance pack to create controls for. :return: The list of custom control IDs. """ try: rules_in_pack = self.config_client.describe_conformance_pack_compliance( ConformancePackName=cpack_name ) print( "Number of rules in the conformance pack: ", len(rules_in_pack.get("ConformancePackRuleComplianceList")), ) for rule in rules_in_pack.get("ConformancePackRuleComplianceList"): print(f"\t{rule.get('ConfigRuleName')}") print("-" * 88) print( "Creating a custom control for each rule and a custom framework " "consisting of these rules in Audit Manager." ) am_controls = [] for rule in rules_in_pack.get("ConformancePackRuleComplianceList"): config_rule = self.config_client.describe_config_rules( ConfigRuleNames=[rule.get("ConfigRuleName")] ) source_id = ( config_rule.get("ConfigRules")[0] .get("Source", {}) .get("SourceIdentifier") ) custom_control = self.auditmanager_client.create_control( name="Config-" + rule.get("ConfigRuleName"), controlMappingSources=[ { "sourceName": "ConfigRule", "sourceSetUpOption": "System_Controls_Mapping", "sourceType": "AWS_Config", "sourceKeyword": { "keywordInputType": "SELECT_FROM_LIST", "keywordValue": source_id, }, } ], ).get("control", {}) am_controls.append({"id": custom_control.get("id")}) print("Successfully created a control for each config rule.") print("-" * 88) except ClientError: logger.exception("Failed to create custom controls.") raise else: return am_controls def create_custom_framework(self, cpack_name, am_control_ids): """ Create a custom Audit Manager framework from a selected AWS Config conformance pack. :param cpack_name: The name of the conformance pack to create a framework from. :param am_control_ids: The IDs of the custom controls created from the conformance pack. """ try: print("Creating custom framework...") custom_framework = self.auditmanager_client.create_assessment_framework( name="Config-Conformance-pack-" + cpack_name, controlSets=[{"name": cpack_name, "controls": am_control_ids}], ) print( f"Successfully created the custom framework: ", f"{custom_framework.get('framework').get('name')}: ", f"{custom_framework.get('framework').get('id')}", ) print("-" * 88) except ClientError: logger.exception("Failed to create custom framework.") raise def run_demo(): print("-" * 88) print("Welcome to the AWS Audit Manager custom framework demo!") print("-" * 88) print( "You can use this sample to select a conformance pack from AWS Config and " "use AWS Audit Manager to create a custom control for all the managed " "rules under the conformance pack. A custom framework is also created " "with these controls." ) print("-" * 88) conf_pack = ConformancePack(boto3.client("config"), boto3.client("auditmanager")) cpack_name = conf_pack.get_conformance_pack() am_controls = conf_pack.create_custom_controls(cpack_name) conf_pack.create_custom_framework(cpack_name, am_controls) if __name__ == "__main__": run_demo()
SDK per Python (Boto3)
Nota

C'è altro su. GitHub Trova l'esempio completo e scopri di più sulla configurazione e l'esecuzione nel Repository di esempi di codice AWS.

import logging import boto3 from botocore.exceptions import ClientError logger = logging.getLogger(__name__) class ConformancePack: def __init__(self, config_client, auditmanager_client): self.config_client = config_client self.auditmanager_client = auditmanager_client def get_conformance_pack(self): """ Return a selected conformance pack from the list of conformance packs. :return: selected conformance pack """ try: conformance_packs = self.config_client.describe_conformance_packs() print( "Number of conformance packs fetched: ", len(conformance_packs.get("ConformancePackDetails")), ) print("Fetched the following conformance packs: ") all_cpack_names = { cp["ConformancePackName"] for cp in conformance_packs.get("ConformancePackDetails") } for pack in all_cpack_names: print(f"\t{pack}") cpack_name = input( "Provide ConformancePackName that you want to create a custom " "framework for: " ) if cpack_name not in all_cpack_names: print(f"{cpack_name} is not in the list of conformance packs!") print( "Provide a conformance pack name from the available list of " "conformance packs." ) raise Exception("Invalid conformance pack") print("-" * 88) except ClientError: logger.exception("Couldn't select conformance pack.") raise else: return cpack_name def create_custom_controls(self, cpack_name): """ Create custom controls for all managed AWS Config rules in a conformance pack. :param cpack_name: The name of the conformance pack to create controls for. :return: The list of custom control IDs. """ try: rules_in_pack = self.config_client.describe_conformance_pack_compliance( ConformancePackName=cpack_name ) print( "Number of rules in the conformance pack: ", len(rules_in_pack.get("ConformancePackRuleComplianceList")), ) for rule in rules_in_pack.get("ConformancePackRuleComplianceList"): print(f"\t{rule.get('ConfigRuleName')}") print("-" * 88) print( "Creating a custom control for each rule and a custom framework " "consisting of these rules in Audit Manager." ) am_controls = [] for rule in rules_in_pack.get("ConformancePackRuleComplianceList"): config_rule = self.config_client.describe_config_rules( ConfigRuleNames=[rule.get("ConfigRuleName")] ) source_id = ( config_rule.get("ConfigRules")[0] .get("Source", {}) .get("SourceIdentifier") ) custom_control = self.auditmanager_client.create_control( name="Config-" + rule.get("ConfigRuleName"), controlMappingSources=[ { "sourceName": "ConfigRule", "sourceSetUpOption": "System_Controls_Mapping", "sourceType": "AWS_Config", "sourceKeyword": { "keywordInputType": "SELECT_FROM_LIST", "keywordValue": source_id, }, } ], ).get("control", {}) am_controls.append({"id": custom_control.get("id")}) print("Successfully created a control for each config rule.") print("-" * 88) except ClientError: logger.exception("Failed to create custom controls.") raise else: return am_controls def create_custom_framework(self, cpack_name, am_control_ids): """ Create a custom Audit Manager framework from a selected AWS Config conformance pack. :param cpack_name: The name of the conformance pack to create a framework from. :param am_control_ids: The IDs of the custom controls created from the conformance pack. """ try: print("Creating custom framework...") custom_framework = self.auditmanager_client.create_assessment_framework( name="Config-Conformance-pack-" + cpack_name, controlSets=[{"name": cpack_name, "controls": am_control_ids}], ) print( f"Successfully created the custom framework: ", f"{custom_framework.get('framework').get('name')}: ", f"{custom_framework.get('framework').get('id')}", ) print("-" * 88) except ClientError: logger.exception("Failed to create custom framework.") raise def run_demo(): print("-" * 88) print("Welcome to the AWS Audit Manager custom framework demo!") print("-" * 88) print( "You can use this sample to select a conformance pack from AWS Config and " "use AWS Audit Manager to create a custom control for all the managed " "rules under the conformance pack. A custom framework is also created " "with these controls." ) print("-" * 88) conf_pack = ConformancePack(boto3.client("config"), boto3.client("auditmanager")) cpack_name = conf_pack.get_conformance_pack() am_controls = conf_pack.create_custom_controls(cpack_name) conf_pack.create_custom_framework(cpack_name, am_controls) if __name__ == "__main__": run_demo()

Per un elenco completo delle guide per sviluppatori AWS SDK e degli esempi di codice, consultaUtilizzo AWS Audit Manager con un AWS SDK. Questo argomento include anche informazioni su come iniziare e dettagli sulle versioni precedenti dell'SDK.

PrivacyCondizioni del sitoPreferenze cookie
© 2025, Amazon Web Services, Inc. o società affiliate. Tutti i diritti riservati.