Learn why enabling Azure Multi-Factor Authentication (MFA) is critical for securing AI solutions, with insights into Azure AD integration, verification methods, and compliance.
Table of Contents
Question
The project manager wants to ensure that the users of the Azure AI Solution are authenticated and to add an additional factor to the process. How can this requirement be enforced within Azure?
A. Restrict login to devices on the network only.
B. Enforce a strong password policy.
C. Enable Azure Multi-Factor Authentication (MFA).
D. Restrict login to certain devices.
Answer
C. Enable Azure Multi-Factor Authentication (MFA).
Explanation
To enforce an additional authentication factor for users of an Azure AI solution, enable Azure Multi-Factor Authentication (MFA). This requirement aligns with Azure security best practices and ensures compliance with modern identity protection standards.
Why Azure MFA Is the Correct Choice
Azure MFA enhances security by requiring two or more verification methods during authentication, such as:
- Something you know (e.g., password)
- Something you have (e.g., SMS code, Microsoft Authenticator app, FIDO2 security key)
- Something you are (e.g., fingerprint or facial recognition).
This approach directly addresses the need for an “additional factor” beyond basic credentials, reducing risks like credential theft by 99.9%.
Why Other Options Fail
A. Restrict login to network devices: Limits access based on location/device but does not add a second authentication factor.
B. Strong password policy: Strengthens the primary factor (knowledge) but remains a single-layer defense.
D. Restrict login to certain devices: Focuses on device management, not multi-factor verification.
Implementing Azure MFA for AI Solutions
- Enable MFA via Microsoft Entra ID: Configure Conditional Access policies to require MFA for specific users, groups, or applications.
- Choose verification methods: Opt for phishing-resistant options like FIDO2 keys or certificate-based authentication for high-security scenarios.
- Monitor and enforce compliance: Use Azure AD logs to track MFA usage and ensure all users complete registration.
Azure MFA integrates seamlessly with AI services like Azure OpenAI, allowing secure API access through tokens or managed identities while adhering to Responsible AI principles. Microsoft’s phased enforcement of mandatory MFA for Azure sign-ins (starting October 2024) further underscores its necessity.
By prioritizing Azure MFA, organizations mitigate risks like unauthorized access to sensitive AI models and data pipelines, ensuring robust protection for cloud-based solutions.
Designing Microsoft Azure AI Solutions skill assessment practice question and answer (Q&A) dump including multiple choice questions (MCQ) and objective type questions, with detail explanation and reference available free, helpful to pass the Designing Microsoft Azure AI Solutions exam and earn Designing Microsoft Azure AI Solutions certification.