Data, Privacy, and Security for Microsoft 365 Copilot
Data security and privacy remain top priorities for any business exploring AI. The blog, "Data, Privacy, and Security for Microsoft 365 Copilot," outlines how Microsoft safeguards customer information across Microsoft 365 with robust compliance frameworks, encryption standards, and access controls. Read the blog to understand Microsoft's security-by-design approach and contact GingerSec to discuss how your business can confidently adopt Copilot.
How does Microsoft 365 Copilot utilize organizational data?
Microsoft 365 Copilot connects large language models (LLMs) to your organizational data by accessing content through Microsoft Graph. It generates responses based on user documents, emails, calendar events, chats, and meetings, ensuring that the information is relevant and contextual. Importantly, it only surfaces data that users have permission to view, adhering to the existing permission models in Microsoft 365 services.
What measures are in place to protect data in Microsoft 365 Copilot?
Microsoft 365 Copilot employs multiple protective measures, including logical isolation of customer content, encryption of data at rest and in transit, and adherence to privacy laws such as GDPR. The permissions model ensures that data is only accessible to authorized users, and the service is designed to block harmful content and prevent unauthorized access.
What data is stored from user interactions with Microsoft 365 Copilot?
When users interact with Microsoft 365 Copilot, data such as prompts and responses are stored, forming a Copilot activity history. This data is processed in line with contractual commitments and is encrypted for security. Users have the option to manage and delete their activity history through the My Account portal.
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Data, Privacy, and Security for Microsoft 365 Copilot
published by GingerSec
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