該当する場合
Discover over-privileged OAuth grants, stale app access, and shadow AI tool sprawl across Google Workspace, Microsoft 365, and GitHub. Runs entirely inside your tenant boundary.
Discover over-privileged OAuth grants, stale app access, and shadow AI tool sprawl across Google Workspace, Microsoft 365, and GitHub. Runs entirely inside your tenant boundary. 対象: Security engineers, identity and access management teams, platform engineers. 一般的な設定時間: 10 minutes.
Discover over-privileged OAuth grants, stale app access, and shadow AI tool sprawl across Google Workspace, Microsoft 365, and GitHub. Runs entirely inside your tenant boundary.
スターター設定をコピーして環境で実行し、詳細な展開手順についてはここに戻って確認してください。
Demonstration only
This configuration is designed for ease of use. To deploy scanner clients at scale, please plan your deployment architecture accordingly or contact us for enterprise best practices.
Download the exact source files referenced on this page, or run the one-command installer to write them locally before following the deployment steps.
Creates the AWS CDK project under `deploy/aws-saas-scanner/` so the scheduled Fargate deployment commands on this page work unchanged.
BLACKSHIELD_SAAS_IMAGE=public.ecr.aws/blackshield-security/saas-scanner:1.0.11 \
bash <(curl -fsSL https://blackshield.chaplau.com/source-bundles/aws-saas-scanner.sh)
cd deploy/aws-saas-scannerCreates the Terraform module under `deploy/gcp-saas-scanner/` and prefills the current platform API URL so the Cloud Run deployment commands on this page work unchanged.
BLACKSHIELD_SAAS_IMAGE=public.ecr.aws/blackshield-security/saas-scanner:1.0.11 \
BLACKSHIELD_SITE_URL=https://blackshield.chaplau.com \
BLACKSHIELD_API_URL=https://api.blackshield.chaplau.com \
bash <(curl -fsSL https://blackshield.chaplau.com/source-bundles/gcp-saas-scanner.sh)
cd deploy/gcp-saas-scannerdocker run --rm \
-e BLACKSHIELD_API_URL=https://api.blackshield.chaplau.com \
-e BLACKSHIELD_API_KEY=sp_xxxx \
-e SAAS_SCAN_MODE=oauth \
-e SAAS_SCAN_PROVIDER=google_workspace \
-e SAAS_COLLECTOR_STRATEGY=api \
-e SAAS_ACCESS_TOKEN=ya29.xxxx \
-e GOOGLE_CUSTOMER_ID=C0xxxxxxx \
-e SCAN_INTERVAL_SECONDS=0 \
public.ecr.aws/blackshield-security/saas-scanner:1.0.11cd deploy/aws-saas-scanner
pip install -r requirements.txt
# Store credentials (once)
aws secretsmanager create-secret \
--name "blackshield/saas-scanner/google" \
--secret-string '{
"BLACKSHIELD_API_KEY": "sp_xxxx",
"SAAS_ACCESS_TOKEN": "ya29.xxxx",
"GOOGLE_CUSTOMER_ID": "C0xxxxxxx"
}'
# Deploy Fargate task (scans every 6 hours)
python3.11 -m venv .venv
source .venv/bin/activate
python -m pip install -r requirements.txt
export BLACKSHIELD_API_URL=https://api.blackshield.chaplau.com
export SCANNER_IMAGE_URI=public.ecr.aws/blackshield-security/saas-scanner:1.0.11
export SAAS_SCAN_PROVIDER=google_workspace
export SECRET_NAME=blackshield/saas-scanner/google
cdk bootstrap
cdk deploy BlackShieldSaasScanner-Google --require-approval neverapiVersion: batch/v1
kind: CronJob
metadata:
name: blackshield-saas-github
namespace: blackshield
spec:
schedule: "0 3 * * *"
concurrencyPolicy: Forbid
jobTemplate:
spec:
template:
spec:
restartPolicy: OnFailure
containers:
- name: saas-scanner
image: public.ecr.aws/blackshield-security/saas-scanner:1.0.11
env:
- { name: BLACKSHIELD_API_URL, value: "https://api.blackshield.chaplau.com" }
- { name: SAAS_SCAN_MODE, value: ai_assets }
- { name: SAAS_SCAN_PROVIDER, value: github_code }
- { name: SAAS_COLLECTOR_STRATEGY, value: api }
- { name: SCAN_INTERVAL_SECONDS, value: "0" }
- { name: GITHUB_ORG, value: your-org }
- name: BLACKSHIELD_API_KEY
valueFrom:
secretKeyRef: { name: blackshield-saas-scanner, key: api-key }
- name: GITHUB_TOKEN
valueFrom:
secretKeyRef: { name: blackshield-saas-scanner, key: github-token }展開のカスタマイズ、担当者の確認、安全な運用拡大を行う場合は以下の手順に従ってください。
ステップ 1
Generate the necessary access tokens from your target SaaS provider. The scanner requires read-only scopes to inspect user grants and installed apps.
成功の基準
GitHub: Create a Personal Access Token (PAT) or GitHub App token with `read:org` and `repo` scopes.
ステップ 2
Before deploying the automated schedule, verify your credentials and network access by running a one-shot container locally.
成功の基準
Check the terminal output to ensure the scanner successfully authenticates and pushes at least one batch of findings.
ステップ 3
Automate the scan cadence (e.g., daily) by deploying the scanner as a scheduled task in AWS or GCP.
成功の基準
Kubernetes: Apply a `CronJob` manifest to run the scanner on a schedule.
ステップ 4
Check the platform dashboard to review the ingested SaaS inventory.
成功の基準
For GitHub targets, review any newly discovered shadow AI/LLM dependencies.
Keep your rollout moving with the next recommended step.
検出結果を確認して優先順位付け