Reports for Every Cloud
Purpose-built reports that answer the questions cloud and security teams actually ask — across AWS, Azure, and Google Cloud.
58
Curated Reports
1705+
Controls Checked
3
Cloud Providers
5 min
To First Results

AI & ML Best Practices
15 controls
3 services covered
Reviews Cognitive Services and Machine Learning controls for private connectivity, public access, customer-managed encryption, local-auth disablement, and Advisor-backed AI or ML cost and capacity recommendations.
What we check
AI Cost and Capacity8
- Azure Machine Learning Cost Optimization should be Applied
- Computer Vision Cost Savings Opportunities should be Utilized
- Form Recognizer Cost Savings Opportunities should be Utilized
- Language Service Cost Savings Opportunities should be Utilized
- LUIS Resource Cost Savings Opportunities should be Utilized
- OpenAI Service Reserved Instance Opportunities should be Utilized
- Speech Service Cost Savings Opportunities should be Utilized
- Translator Resource Cost Savings Opportunities should be Utilized
Cognitive Services Accounts5
- Cognitive Service Account Encrypted with CMK
- Cognitive Services Accounts should have Local Authentication Methods Disabled
- Cognitive Services Accounts should use Private Link
- Cognitive Service Account Public Network Access Disabled
- Cognitive Service Account Restrict Public Access
Machine Learning Workspaces2
- Machine Learning Workspaces should be Encrypted with CMK
- Machine Learning Workspaces use Private Link
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