> For the complete documentation index, see [llms.txt](https://agents.glueckkanja.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://agents.glueckkanja.com/agents/policy-gap-remediator/changelog.md). # Changelog ### \[1.0.1] - 2025-11-03 Updated the Agent Output. ### \[1.0.0] - 2025-09-30 #### Initial Release First release of Policy Gap Remediator! This version provides comprehensive gap analysis for Microsoft Purview data governance policies. **What's included:** * Policy gap detection across DLP, retention, sensitivity labels, and information barriers * Classification blind spot identification for unprotected sensitive data * Sensitivity label coverage assessment across content types and workloads * Regulatory alignment validation against compliance frameworks (GDPR, HIPAA, PCI, SOC2) * Policy conflict detection and resolution recommendations * Insider risk monitoring gap analysis * Information barrier completeness verification * Risk-based remediation prioritization * Compliance coverage heatmaps showing protected vs unprotected areas * Ready-to-deploy policy templates for quick gap closure * Workload-specific gap analysis (Exchange, SharePoint, OneDrive, Teams) * Integration with Security Copilot for natural language policy gap queries --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter: ``` GET https://agents.glueckkanja.com/agents/policy-gap-remediator/changelog.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.