Secure Implementation of Microsoft Copilot
Implementing Microsoft Copilot or any other AI model without careful consideration of security & compliance requirements can expose organizations to unnecessary risks. Without thoughtful consideration, users might:
- Inadvertently leak sensitive data to AI applications,
- Access sensitive data via AI applications that they are not authorized to view or edit,
- Use AI applications that generate unethical or high-risk content.
It is crucial to prioritize security from the outset, implementing robust measures to protect data and ensure model integrity. By embedding robust security measures into the implementation process, you not only protect your organization’s valuable assets but also foster trust among stakeholders and customers.
Leverage Our Expertise to Accomplish More
As a Microsoft partner specializing in Security and Compliance, we will work with you to define a robust, tailored strategy and create a step-by-step roadmap for a seamless deployment of Microsoft Copilot. Our methodology centers around the following three pillars:
Data Access – Limit Data Oversharing
We will review existing permissions and sharing settings and ensure that the appropriate strategy for privacy levels is defined and configured.
Data Protection – Protect Sensitive Data
Here we will identify sensitive content and to what extent it should be prevented from exposure to Microsoft Copilot. Then, a data classification program and a data loss prevention program will be defined.
Data Lifecycle – Remove Obsolete Data
Feeding relevant data into Copilot is key. Therefore, it is important to validate what content is obsolete (and should be removed/archived) and what content sites are inactive and should be excluded from the model.