Common Security Evaluation Questions

Introduction

When evaluating a data + AI observability solution like Monte Carlo, security-conscious organizations frequently ask a consistent set of questions. This FAQ-style section addresses the most common concerns—so you can easily find and understand how Monte Carlo’s control environment delivers enterprise-grade protection, privacy, and compliance.

Within each subsection, you’ll find key questions and answers grouped by topic, with links to additional information where applicable.

Key Considerations for Monte Carlo Customers

As you evaluate Monte Carlo, it’s important to consider your own internal data governance policies and data sensitivity requirements.

Monte Carlo is designed to integrate with a wide range of data sources. Before deployment, you should evaluate:

• Which data sources you’d like to configure for monitoring.
• Whether any monitored data contains sensitive or regulated information (e.g., PII, PHI, financial data).
• What access and visibility levels are appropriate for your organization’s risk tolerance.

Monte Carlo can assist with guidance and documentation during this assessment but cannot determine data sensitivity or classification on your behalf. Customers with stricter regulatory requirements may wish to conduct additional due diligence before enabling monitoring for highly sensitive environments.

Next Steps & How to Evaluate

If your organization requires completion of security questionnaire, please contact your Monte Carlo account team to initiate that process.

Monte Carlo is committed to ensuring customers have the transparency and resources they need to make informed and confident decisions. For any questions about the information available here, please reach out to [email protected].