프로젝트 및 권한 설정

이 페이지에서는 Google Cloud 프로젝트를 만들고, AML AI를 사용 설정하고, 사용자 인증 정보를 만들어 계정에 하나 이상의 IAM 역할을 부여하는 방법을 보여줍니다.

중요: 프로젝트를 만든 후에는 API가 자동으로 표시되지 않습니다. API를 사용 설정하려면 먼저 Google 담당자에게 문의해야 합니다.

1. Sign in to your Google Cloud account. If you're new to Google Cloud, create an account to evaluate how our products perform in real-world scenarios. New customers also get $300 in free credits to run, test, and deploy workloads.
2. Install the Google Cloud CLI.

3. To initialize the gcloud CLI, run the following command:

   gcloud init

4. Create or select a Google Cloud project.

   Note: If you don't plan to keep the resources that you create in this procedure, create a project instead of selecting an existing project. After you finish these steps, you can delete the project, removing all resources associated with the project.

   • Create a Google Cloud project:

     gcloud projects create PROJECT_ID

     Replace PROJECT_ID with a name for the Google Cloud project you are creating.

   • Select the Google Cloud project that you created:

     gcloud config set project PROJECT_ID

     Replace PROJECT_ID with your Google Cloud project name.

5. Make sure that billing is enabled for your Google Cloud project.

6. Enable the required APIs:

   gcloud services enable financialservices.googleapis.com bigquery.googleapis.com cloudkms.googleapis.com

7. If you're using a local shell, then create local authentication credentials for your user account:

   gcloud auth application-default login

   You don't need to do this if you're using Cloud Shell.

8. Grant roles to your user account. Run the following command once for each of the following IAM roles: roles/financialservices.admin, roles/cloudkms.admin, roles/bigquery.admin

   gcloud projects add-iam-policy-binding PROJECT_ID --member="user:USER_IDENTIFIER" --role=ROLE

   • Replace PROJECT_ID with your project ID.

   • Replace USER_IDENTIFIER with the identifier for your user account. For example, user:[e-mail].

   • Replace ROLE with each individual role.
9. Install the Google Cloud CLI.

10. To initialize the gcloud CLI, run the following command:

    gcloud init

11. Create or select a Google Cloud project.

    Note: If you don't plan to keep the resources that you create in this procedure, create a project instead of selecting an existing project. After you finish these steps, you can delete the project, removing all resources associated with the project.

    • Create a Google Cloud project:

      gcloud projects create PROJECT_ID

      Replace PROJECT_ID with a name for the Google Cloud project you are creating.

    • Select the Google Cloud project that you created:

      gcloud config set project PROJECT_ID

      Replace PROJECT_ID with your Google Cloud project name.

12. Make sure that billing is enabled for your Google Cloud project.

13. Enable the required APIs:

    gcloud services enable financialservices.googleapis.com bigquery.googleapis.com cloudkms.googleapis.com

14. If you're using a local shell, then create local authentication credentials for your user account:

    gcloud auth application-default login

    You don't need to do this if you're using Cloud Shell.

15. Grant roles to your user account. Run the following command once for each of the following IAM roles: roles/financialservices.admin, roles/cloudkms.admin, roles/bigquery.admin

    gcloud projects add-iam-policy-binding PROJECT_ID --member="user:USER_IDENTIFIER" --role=ROLE

    • Replace PROJECT_ID with your project ID.

    • Replace USER_IDENTIFIER with the identifier for your user account. For example, user:[e-mail].

    • Replace ROLE with each individual role.
이러한 역할에는 다음과 같은 필수 권한이 있습니다.

필수 권한

다음 권한은 빠른 시작을 완료하고 AML AI에서 여러 중요한 작업을 수행하는 데 필요합니다.

권한	설명
cloudkms.keyRings.create	Cloud KMS 키링 만들기
cloudkms.cryptoKeys.create	Cloud KMS 키 만들기
financialservices.v1instances.create	AML AI 인스턴스 만들기
financialservices.operations.get	AML AI 작업 가져오기
cloudkms.cryptoKeys.getIamPolicy	Cloud KMS 키의 IAM 정책 가져오기
cloudkms.cryptoKeys.setIamPolicy	Cloud KMS 키의 IAM 정책 설정
bigquery.datasets.create	BigQuery 데이터 세트 만들기
bigquery.datasets.get	BigQuery 데이터 세트 가져오기
bigquery.transfers.get	BigQuery Data Transfer Service 전송 가져오기
bigquery.transfers.update	BigQuery Data Transfer Service 전송 만들기 또는 삭제하기
bigquery.datasets.setIamPolicy	BigQuery 데이터 세트의 IAM 정책 설정
bigquery.datasets.update	BigQuery 데이터 세트 업데이트
financialservices.v1datasets.create	AML AI 데이터 세트 만들기
financialservices.v1engineconfigs.create	AML AI 엔진 구성 만들기
financialservices.v1models.create	AML AI 모델 만들기
financialservices.v1backtests.create	AML AI 백테스트 결과 만들기
financialservices.v1backtests.exportMetadata	AML AI 백테스트 결과에서 메타데이터 내보내기
financialservices.v1instances.importRegisteredParties	등록된 당사자를 AML AI 인스턴스로 가져오기
financialservices.v1predictions.create	AML AI 예측 결과 만들기
bigquery.jobs.create	BigQuery 작업 만들기
bigquery.tables.getData	BigQuery 테이블에서 데이터 가져오기
financialservices.v1predictions.delete	AML AI 예측 결과 삭제
financialservices.v1backtests.delete	AML AI 백테스트 결과 삭제
financialservices.v1models.delete	AML AI 모델 삭제
financialservices.v1engineconfigs.delete	AML AI 엔진 구성 삭제
financialservices.v1datasets.delete	AML AI 데이터 세트 삭제
financialservices.v1instances.delete	AML AI 인스턴스 삭제
bigquery.datasets.delete	BigQuery 데이터 세트 삭제

중요: Financial Services API를 사용 설정한 후 AML AI 인스턴스 만들기를 진행하기 전에 Google 담당자에게 문의하여 모든 AML AI 기능을 허용 목록에 추가해야 합니다. API 리소스를 만들 위치의 담당자에게 알려야 합니다.