MIND + Purview
Purview plays a critical role across the Microsoft ecosystem. However, it's pattern-based detection and user-driven workflows can introduce noise and false positive alert fatigue. MIND makes Microsoft Purview better.
By providing the complete data content and context before governance and enforcement occur, Purview becomes even more effective and easier to operate at scale.
Unlock the full power of Microsoft Purview
As sensitive data spreads across SaaS, Gen AI, endpoints, email and on-prem environments, security teams struggle with blindspots, misclassification and manual effort. Purview relies on accurate labeling to enforce controls, but pattern-based detection and user-driven workflows can introduce noise and false positives.
MIND resolves this gap by understanding data meaning and context before governance and enforcement occur. Purview becomes more precise, more reliable and easier to operate at scale.
How do MIND and Purview work together?
MIND | Purview | Better Together | |
|---|---|---|---|
Discovery | Discovers sensitive data everywhere with broad, deep visibility across all environments | Finds data mainly in M365 with limited reach into SaaS and external systems | Full visibility improves accuracy, control and downstream policy effectiveness |
Classification | Classifies by meaning and context with high precision and reliable consistency | Uses patterns and labels, struggles with accuracy and limited customization options | Clean classification strengthens labeling, governance and enforcement across systems |
Labeling | Automatically reads/writes MIP labels based on data sensitivity and context | Relies on manual user labeling with little to no automated workflows | Automated labeling reduces the burden on individual users and speeds policy enforcement |
Detection and Remediation | Automates remediation with contextual actions that reduce manual effort | Detects risks within M365 but lacks broad insight across diverse environments | Combined response accelerates containment and improves operational efficiency |
Policies | Applies policy across the entire SaaS, on-prem, endpoint and email ecosystem | Management through consistent labeling and policy application across Microsoft services | Policies become more reliable, scalable and aligned with real risk |
Prevention | Prevents risks in real time across SaaS, Gen AI, on-prem, endpoint and email systems | Prevents data loss using labels and sensitive information types within M365 | Broader prevention improves protection, reduces gaps and strengthens security posture |
A force multiplier for Microsoft Purview
Accurate classification
Purview depends on classification, yet pattern-based detection and limited context can introduce uncertainty and inconsistency.
MIND accurately classifies sensitive data across the entire enterprise, including Microsoft 365, other SaaS apps, Gen AI tools, endpoints, email and on-prem file shares. This precision ensures labels are correct, policies trigger as intended and governance is driven by certainty rather than assumptions.
Automated labeling
Purview often depends on manual or user-assisted labeling, which introduces friction for employees and inconsistency for security teams.
MIND removes that burden by automatically reading and writing Microsoft Information Protection (MIP) labels based on true data sensitivity and context. With accurate, consistent labeling in place, Purview policies trigger faster and more reliably, reducing operational overhead while allowing users to stay productive.
Stronger prevention
Purview enforces policies effectively within the Microsoft ecosystem, but limited visibility into data movement across modern environments can create gaps.
MIND closes those gaps by monitoring data movement in real time across SaaS, Gen AI, endpoints, email and on-prem systems. By adding risk context and automating remediation and prevention, MIND ensures Purview policies align to real risk, reduce false positives and enable faster, more confident response.
