RM560599 - Microsoft Purview: Insider Risk Management – Viewing AI interaction messages for anonymized users in IRM

Microsoft 365 Roadmap

Status

In development

Release

General Availability
Preview

Published

Apr 17, 2026

Platforms

Web

Service

Microsoft Purview

Tag

In development
General Availability
Preview
Worldwide (Standard Multi-Tenant)

Cloud

Worldwide (Standard Multi-Tenant)

Summary

Customers can now access and review the underlying risky prompt and response interactions generated by users during AI usage, even when user anonymization is enabled within Insider Risk Management investigations. This capability ensures that anonymized investigation workflows do not limit visibility into the contextual AI activity associated with potential risk. This enables analysts to effectively investigate detailed AI interactions across the organization. Microsoft Purview Insider Risk Management correlates various signals to identify potential malicious or inadvertent insider risks, such as IP theft, data leakage, and security violations. Insider Risk Management enables customers to create policies based on their own internal policies, governance, and organizational requirements. Built with privacy by design, users are pseudonymized by default, and role-based access controls and audit logs are in place to help ensure user-level privacy.

Description

Customers can now access and review the underlying risky prompt and response interactions generated by users during AI usage, even when user anonymization is enabled within Insider Risk Management investigations. This capability ensures that anonymized investigation workflows do not limit visibility into the contextual AI activity associated with potential risk. This enables analysts to effectively investigate detailed AI interactions across the organization. Microsoft Purview Insider Risk Management correlates various signals to identify potential malicious or inadvertent insider risks, such as IP theft, data leakage, and security violations. Insider Risk Management enables customers to create policies based on their own internal policies, governance, and organizational requirements. Built with privacy by design, users are pseudonymized by default, and role-based access controls and audit logs are in place to help ensure user-level privacy.

GA date: June CY2026

Preview date: May CY2026