Protecting your corporate data—especially when using AI services like Azure OpenAI or any cloud service—is critical. Here’s a high-level but practical guide on how to protect your corporate data:
- Use Data Encryption (In Transit and At Rest)
Ensure TLS/SSL is enabled for all communications.
Use Azure Storage encryption (enabled by default).
For sensitive data, use customer-managed keys (CMK) instead of Microsoft-managed keys.
- Control Access with Identity and Role Management
Use Azure Active Directory (AAD) for identity.
Apply Role-Based Access Control (RBAC) to restrict who can access what.
Enable Multi-Factor Authentication (MFA) for all users.
- Use Private Endpoints for AI and Data Services
Connect to services like Azure OpenAI via private endpoints to avoid exposing them to the public internet.
- Apply Data Loss Prevention (DLP) Policies
Use Microsoft Purview or Microsoft Defender for Cloud Apps to create DLP rules.
Block uploading of sensitive info (e.g., SSNs, credit card numbers) to AI or external apps.
- Monitor and Audit Everything
Use Azure Monitor and Log Analytics to track usage.
Set up alerts for unusual API calls or high-volume data transfers.
Enable Microsoft Sentinel for SIEM and threat detection.
- Use Responsible AI Features in Azure OpenAI
No training on your data: Azure OpenAI does not use your data to train the models.
Use content filters, prompt engineering, and throttling to prevent misuse.
- Educate Employees
Run security awareness training on:
Not pasting sensitive data into AI prompts
Recognizing phishing attempts
Following secure data handling policies
- Set Network Boundaries
Use NSGs (Network Security Groups) and firewall rules to isolate sensitive workloads.
Use VNet integration to keep services behind secure perimeters.