Organizations that do not know where their sensitive data lives cannot protect it effectively. We implement Microsoft Purview to give organizations visibility into their data landscape and the controls to protect it - from classification and access management through compliance governance and Copilot readiness.
Organizations that have clear visibility into where their sensitive data lives, how it is classified, and who can access it are in a significantly stronger position — for compliance, for security, and for AI adoption. Strong data governance is the foundation that makes everything built on top of your Microsoft 365 environment more trustworthy and more defensible. It is also the prerequisite for responsible Copilot deployment, making it one of the highest-priority investments for organizations moving toward AI.
Automated data discovery and classification across Microsoft 365 and Azure gives a clear, accurate picture of where sensitive data lives and how it is being used across your organization.
Data loss prevention policies, sensitivity labels, and access controls enforced by Microsoft Purview protect sensitive data from inappropriate sharing or exposure across your environment.
Structured governance policies with documented controls and audit trails give your organization the evidence needed to meet regulatory requirements and respond confidently to audits.
From data security workshops and Copilot governance readiness through Microsoft Purview implementation and data loss prevention, here is how we engage across data security.
Purview from quickstart through full implementation, establishing classification, sensitivity labels, DLP, and retention.
DLP policies designed and deployed across Exchange, SharePoint, Teams, and OneDrive to prevent sensitive data sharing.
Structured M365 data security and compliance risk assessment using Purview, delivering a risk report and remediation roadmap.
M365 governance assessment and remediation addressing Copilot data access risks, completed before deployment rollout begins.
Our Security Solutions Partner designation and Data and AI Solutions Partner designation reflect years of investment in data security and governance delivery. These credentials are earned through rigorous third-party audits and demonstrated client outcomes across Microsoft Purview implementations, data classification frameworks, and compliance governance for regulated industries.
Data governance implementations that produce policies without enforcement are not governance - they are documentation. Our approach implements controls that are technically enforced, regularly reviewed, and designed to meet the compliance requirements your organization actually faces.
You cannot govern data you do not know about. Every data governance engagement starts with automated discovery across your Microsoft 365 environment to understand what sensitive data exists, where it is stored, and what risks it represents. This foundation makes subsequent governance decisions accurate rather than aspirational guesses about what your data landscape looks like.
Sensitivity labels are the foundation of effective data governance in Microsoft 365. How data is classified determines what protections apply to it, who can access it, and how long it needs to be retained. We design classification frameworks that are practical enough for users to apply consistently and comprehensive enough to satisfy your compliance requirements.
Data governance policies that rely on user judgment are policies that will not be followed consistently. We implement technical enforcement through DLP policies, auto-labeling, and access controls so sensitive data is protected automatically rather than depending on every user making the right decision in every situation every day.
Organizations deploying Microsoft Copilot need strong data governance in place first. Copilot can surface any data users have access to - meaning overshared files, misconfigured permissions, and unclassified sensitive data all become AI-accessible risks. Data governance is not optional preparation for Copilot. It is a prerequisite that must be addressed before deployment.
Data governance frameworks built once and not maintained quickly become misaligned with the landscape they govern. We provide ongoing management and review to keep classification frameworks, DLP policies, and retention configurations current as data types, regulations, and business processes change over time.
You cannot govern data you do not know about. Every data governance engagement starts with automated discovery across your Microsoft 365 environment to understand what sensitive data exists, where it is stored, and what risks it represents. This foundation makes subsequent governance decisions accurate rather than aspirational guesses about what your data landscape looks like.
Sensitivity labels are the foundation of effective data governance in Microsoft 365. How data is classified determines what protections apply to it, who can access it, and how long it needs to be retained. We design classification frameworks that are practical enough for users to apply consistently and comprehensive enough to satisfy your compliance requirements.
Data governance policies that rely on user judgment are policies that will not be followed consistently. We implement technical enforcement through DLP policies, auto-labeling, and access controls so sensitive data is protected automatically rather than depending on every user making the right decision in every situation every day.
Organizations deploying Microsoft Copilot need strong data governance in place first. Copilot can surface any data users have access to - meaning overshared files, misconfigured permissions, and unclassified sensitive data all become AI-accessible risks. Data governance is not optional preparation for Copilot. It is a prerequisite that must be addressed before deployment.
Data governance frameworks built once and not maintained quickly become misaligned with the landscape they govern. We provide ongoing management and review to keep classification frameworks, DLP policies, and retention configurations current as data types, regulations, and business processes change over time.
Microsoft Purview Expertise: Deep Purview expertise across classification, DLP, retention, insider risk, and eDiscovery for organizations in regulated industries.
Copilot Prerequisites: Our governance work ensures organizations are ready for responsible Copilot adoption - addressing data access risks before AI amplifies them.
Security Integration: Data governance is implemented as part of your broader Microsoft security architecture for consistent controls across the environment.
Compliance Depth: Practical experience with healthcare, financial services, and manufacturing compliance requirements - governance that holds up under scrutiny.
Enforcement Focus: We implement technical enforcement rather than policy documentation alone - sensitive data protected automatically, not by user behavior.
Ongoing Management: We provide ongoing governance management keeping your Purview environment current and compliance posture aligned to evolving requirements.
A Data Security Workshop gives you a clear picture of your current data risk exposure and what governance controls would address it before it becomes a compliance or AI-related problem.
Emergent Software delivers data platforms, Azure cloud, AI, custom software development, and security solutions as a certified Microsoft Solutions Partner.
