Synqly Introduces Microsoft 365 Copilot Integration for AI Session and Conversation Data Access

Synqly is announcing a Microsoft 365 Copilot integration that enables OEM customers to access Copilot AI session conversations, user-scoped chat data, and tenant user information through Synqly’s unified chat API. As enterprise AI adoption accelerates, security and compliance vendors that need visibility into AI-generated conversations within Microsoft 365 environments now have a direct path to that data without building bespoke Microsoft Graph connectors.

What Is Microsoft 365 Copilot?

Microsoft 365 Copilot is Microsoft’s AI assistant embedded across the Microsoft 365 suite, including Word, Excel, PowerPoint, Outlook, and Teams. Copilot generates responses, drafts content, summarizes documents, and interacts with users through AI sessions that are scoped to individual users within a tenant. Because Copilot operates on enterprise data, the conversations it generates and the context it surfaces are increasingly relevant to security posture, data governance, and compliance monitoring programs.

What OEM Customers Can Do with This Integration

The Synqly Microsoft 365 Copilot integration provides access to AI session conversations through user-scoped queries. OEM customers can use Query User Conversations to enumerate Copilot sessions for a given user, Query User Conversation Messages to retrieve the message history within those sessions, Query User Conversation Members to identify participants, and Query Users to enumerate the tenant user list for coverage and scoping decisions.

This is a distinct capability from traditional chat integrations because Copilot sessions are AI-generated rather than human-to-human message exchanges. The sessions are only addressable via the user who initiated them, which is why Synqly’s user-scoped API variants are the primary access path. Security vendors building data loss prevention (DLP), insider threat, or compliance monitoring products can use this integration to pull Copilot session content and analyze it for sensitive data exposure, policy violations, or anomalous AI usage patterns.

Consider a data security posture management (DSPM) platform that monitors how enterprise data is referenced within AI interactions. Through the Synqly Microsoft 365 Copilot integration, that platform can retrieve Copilot session messages and apply its classification and detection logic to the conversation content, surfacing instances where sensitive data categories appeared in AI responses or where users prompted Copilot with information that should be restricted. This workflow runs through the same normalized API that the platform uses for Teams and Slack, with no additional integration development required.

For compliance teams and the vendors who serve them, the audit value is significant. AI session conversations in Copilot are a new category of enterprise communication that existing e-discovery, records retention, and compliance monitoring tools were not designed to capture. Synqly’s integration provides a structured, API-driven way to incorporate Copilot session data into those workflows.

This integration is part of Synqly’s Chat and Notifications connector category, which normalizes conversation and messaging data from Slack, Teams, Copilot, and other providers through a single interface. OEM customers who already integrate with other Microsoft 365 services through Synqly can add Copilot access without restructuring their integration layer.

Where to Find More Details

Setup instructions, authentication requirements, and supported scopes are documented in the Microsoft 365 Copilot Configuration Guide on Synqly Docs. For a summary of supported capabilities, visit the Microsoft 365 Copilot integration partner page. To see all available Synqly integrations, visit synqly.com/integration-partners.