Top 7 Microsoft Purview Alternative & Competitors in 2026

While Microsoft Purview provides a solid foundation within the Microsoft ecosystem, different organizational needs lead to exploring purview altternatives. In this blog we explore the top 7 Microsoft Purview Alternatives in 2026.

Last updated: June 2026

Microsoft Purview’s shortcomings

Microsoft Purview is known for its comprehensive data governance services within the Microsoft ecosystem. However, the below Azure Purview limitations lead organizations to consider alternatives:

1. Integration challenges:

While Purview integrates well with Microsoft products, linking it with non-Microsoft systems or third-party applications often requires additional customization.

2. Cost:

The Microsoft purview pricing can be prohibitive for some organizations, especially when it necessitates a higher-tier Microsoft 365 subscription for full functionality.

3. Data privacy regulations:

Purview assists with compliance but isn't a one-stop solution. Organizations must continually ensure that their usage complies with all relevant data privacy laws.

4. Dependence on Microsoft ecosystem:

Companies not deeply integrated into the Microsoft environment may find Purview less beneficial or harder to adopt.

5. Limited customization:

The platform may not meet unique organizational needs out-of-the-box, and customization options can be limited.

These limitations prompt the need for below MS purview alternatives.

✨ Microsoft Purview Alternatives – Capability Comparison

Top 7 Microsoft Purview Alternatives and Competitors in 2026

🎥 1. Strac

Strac is a dynamic Data Loss Prevention (DLP) solution that extends beyond traditional perimeters to secure sensitive PII data. It works across SaaS, cloud, and endpoints to offer a complementary solution to Microsoft Purview’s data governance capabilities. 

The platform focuses on real-time detection, blocking, or redaction of sensitive data. It aligns with Purview's goal of data protection but with a specialized emphasis on privacy and compliance across external platforms.

Best for: SaaS-first and cloud-native organizations that need real-time data loss prevention and DSPM across SaaS apps, cloud storage, endpoints, browsers, and GenAI tools. Strac is ideal for teams that require inline enforcement (block, redact, warn) rather than alert-only governance, especially where sensitive data moves through Slack, Zendesk, email, file uploads, and AI prompts. It is particularly strong for fast-moving teams that want agentless deployment and immediate time to value.

Key Features:

• No-code integrations with SaaS applications like Zendesk, Slack, Gmail, and Office 365.
• Real-time detection and redaction of sensitive personal data (PII & PHI).

• Compliance with key regulatory standards like PCI, HIPAA, SOC 2, GDPR, and CCPA.
• It automatically detects and redacts sensitive information to eliminate manual intervention.

• Extensive customization options for security policies, data handling protocols, and user access.
• Enhanced redaction capabilities that accurately remove sensitive details from chats and attachments from formats like PDFs, JPEGs, PNGs, and Office documents.

Endpoint DLP that follows the data, not just the device

Strac’s lightweight Mac and Windows agent enforces content-aware policy on the endpoint itself — file opens and downloads, USB and removable-media writes, printing, screenshots, AirDrop, clipboard, and browser uploads. Because it inspects the actual content, it Blocks or Warns only on regulated data — SSN, PAN, PHI, secrets, source code — instead of bluntly locking the whole app, and every channel runs in Block, Warn, or Audit mode.

Shadow AI discovery and control

Strac surfaces every AI app and agent employees actually use — sanctioned or not — and governs the data flowing into them. It flags high-risk GenAI usage, then coaches or blocks sensitive prompts in the browser, and does it privacy-first: no keystroke logging and no screenshots of an employee’s screen. One dashboard shows which AI tools are in use, what data is at risk, and where to tighten policy.

Pros:

• Quick Setup: Customers can set up Strac in less than 10 minutes, enabling immediate access to features like DLP, real-time scanning, and live redaction for their cloud applications. This is what Strac users say,

• High Precision in Detection and Redaction: Strac uses tailor-made AI models to accurately identify and redact sensitive information like PII, PHI, PCI, and confidential data, minimizing the chances of incorrect detections.
• Broad SaaS Compatibility: Strac boasts an extensive array of integrations with numerous SaaS and cloud services. For further details, refer to the demonstration.
• Flexible Detection Options: Strac comes equipped with a comprehensive range of detectors for identifying sensitive data related to PCI, HIPAA, GDPR, and more, alongside the ability for customers to customize and specify their own data elements. Explore Strac’s full selection of data detectors.
• Direct Redaction Capabilities: Strac offers the ability to directly mask or blur sensitive information in any document attachment.
• AI Enhancements: Strac enhances its offerings with integrations across various platforms, including SaaS, cloud, and endpoints, and extends to AI and large language models like ChatGPT, Google Bard, and Microsoft Copilot. For details on how these integrations protect AI applications and sensitive data, see Strac’s developer documentation.
• Endpoint Protection: Strac stands out as the sole DLP solution providing comprehensive protection across SaaS, cloud, and endpoint environments. Endpoint DLP ➡
• API Accessibility: Strac makes available API options for developers to detect or redact sensitive data, ensuring flexibility and ease of use. Explore API Docs ➡
• Exceptional Support: The Strac customer support team is committed to providing exceptional assistance during the integration process and beyond, ensuring a smooth experience.
• Adaptable Compliance Solutions: Strac offers ready-made compliance templates covering all sensitive data elements for detection/redaction, along with adjustable settings to meet specific business requirements, thereby guaranteeing that data protection strategies are tailored to each organization’s needs.

Cons:

• Strac employs advanced AI for data handling, requiring user adaptation to innovative technologies.
• While features are currently being enhanced, Strac consistently delivers new updates.

Pricing:

• Strac offers multiple pricing plans to accommodate small and large teams. It comes along with a complimentary 30-day trial. For more details, book a 30-min free demo.

2. Microsoft Defender for Endpoint

Microsoft Defender for Endpoint is an enterprise-grade endpoint security platform. It is designed to help businesses prevent, detect, investigate, and respond to advanced threats and vulnerabilities. When considering the comprehensive nature of Defender alongside Azure Purview pricing, organizations can find a balanced approach to endpoint security and data governance costs.

Best for: organizations with a strong focus on endpoint security and threat detection, particularly those operating primarily in Windows-centric environments. Microsoft Defender for Endpoint works well as part of a broader Microsoft security stack for detecting malware, exploits, and endpoint-based data risks. It is not designed to function as a standalone Microsoft Purview alternative for SaaS, cloud, or AI data flows.

Key Features:

• Endpoint behavioral sensors: Collect and process behavioral signals from the operating system to identify threats.
• Cloud security analytics: Uses big data, machine learning, and integration with Microsoft's security ecosystem.
• Threat intelligence: Identifies attacker tools, techniques, and procedures to generate alerts and enable quick responses.
• Automated investigation and remediation: Reduces alert volumes and resolves threats efficiently.
• Vulnerability management: Identifies and prioritizes vulnerabilities on endpoints.

Pros:

• Offers a wide range of security capabilities from threat prevention to post-breach detection and response.
• Seamlessly integrates with other Microsoft security solutions for a unified security posture.
• Provides tools for proactive threat hunting and investigation.
• Leverages Microsoft’s extensive data on cyber threats for timely and effective threat detection.

Cons:

• Can be complex to set up and manage, requiring a dedicated security team.
• While it supports multiple platforms, it is most optimized for Windows environments.
• May be expensive for small to medium-sized businesses, especially when scaling up.
• The extensive features and capabilities might overwhelm users new to enterprise-level endpoint security solutions.

Pricing:

• Microsoft Defender for Endpoint offers two pricing plans, ranging between $2.50 and $5.20 for academic and standalone. Additionally, you can get a free trial.

✨ 3. Microsoft Defender for Office 365

Microsoft Defender for Office 365 provides robust security solutions to protect against cyber threats in Office 365 environments. It includes email and collaboration tools like Microsoft Teams. While Microsoft Purview focuses on overall data governance, Defender for Office 365 protects communication channels from phishing and malware. 

Best for: organizations looking to enhance email and collaboration security within Microsoft Office 365, including protection against phishing, malware, and business email compromise. Defender for Office 365 complements Microsoft Purview by securing communication channels but does not provide comprehensive data governance or cross-SaaS DLP capabilities.

Key Features:

• Threat protection for email and collaboration tools: Targets threats like phishing, business email compromise (BEC), and ransomware.
• Advanced threat hunting: Allows proactive searching and elimination of potential threats across the environment.
• Automated attack remediation: Identifies and neutralizes threats automatically, reducing the workload on security teams.
• Safe links and safe attachments: Scans links and attachments in real time to prevent malicious content from reaching users.
• Threat intelligence: Provides insights into global and targeted threats to improve the organization's security posture.

Pros:

• Seamlessly integrates with Office 365 and enhances protection without disrupting user productivity.
• Protects against a wide range of email and collaboration tool threats.
• Offers attack simulation training to help users recognize and respond to phishing attempts.
• Provides insights into attacks and potential vulnerabilities to aid in ongoing security improvements.

Cons:

• Protection is designed specifically for the Office 365 ecosystem.
• Additional expense for organizations, especially if they require advanced features available in higher-tier plans.
• Aggressive filtering and protection measures can sometimes lead to legitimate communications being flagged or blocked.

Pricing:

• Microsoft Defender for Office 365 is available in two pricing tiers, starting at $2 and going up to $5. There's also an option to try Microsoft Defender for free.

4. Microsoft Defender for Cloud Apps

Microsoft Defender for Cloud Apps is a comprehensive SaaS security solution designed to modernize the protection of your applications. It provides full visibility into your SaaS app landscape and helps secure data and elevate app security posture. Defender for Cloud Apps extends the data governance capabilities of Purview into the cloud and offers enhanced protection for apps. It is important for businesses to compare such benefits with Microsoft Purview cost to determine the most cost-effective solution for them.

Best for: Microsoft-centric organizations that need visibility and control over SaaS usage, including shadow IT discovery and basic data protection policies. Defender for Cloud Apps fits teams already invested in Microsoft security tooling and looking to extend Purview into SaaS environments. It is less effective for organizations requiring real-time enforcement or broad, non-Microsoft SaaS coverage.

Key Features:

• Shadow IT Discovery: Identifies and assesses risk from unauthorized app usage.
• Data Protection: Classifies and protects sensitive information across all SaaS apps.
• App-to-App Control: Monitors and controls how apps interact and access sensitive data.
• Advanced Threat Protection: Utilizes app signals for sophisticated cyberattack defense.
• Unified Security Management: Offers a central dashboard for managing SaaS app security posture.

Pros:

• Seamlessly integrates with existing Microsoft security solutions for comprehensive coverage.
• Provides extensive insight into app usage and data movement within SaaS environments.
• Offers tools for preventing data leakage and ensuring compliance with regulatory standards.
• Utilizes AI and machine learning for advanced threat detection and automated responses.

Cons:

• Best leveraged within the Microsoft ecosystem and limited for organizations using a diverse set of cloud services.
• May be an additional expense for organizations.
• Requires a good understanding of cloud security principles and Microsoft’s security framework for optimal use.

Pricing:

• Microsoft Defender for Servers Plan 1 ranges from $0.007 per server per hour to $0.02 per server per hour for Servers Plan 2.

5. Forcepoint DLP

Forcepoint DLP secures sensitive data across various environments, including web, cloud, email, network, and endpoint. It provides a comprehensive approach to identifying, monitoring, and protecting data while ensuring compliance with data protection regulations.

Best for: large enterprises with complex, hybrid environments that require traditional network, endpoint, and cloud DLP capabilities. Forcepoint DLP is well suited for organizations with dedicated security teams that can manage agent-heavy deployments and extensive policy tuning. It is less ideal for teams seeking fast deployment or SaaS-native, real-time enforcement.

Key Features:

• Comprehensive data discovery and classification across on-premises and cloud environments.
• Risk-adaptive protection to automatically adjust policies based on user behavior and risk.
• Unified policy enforcement for simplified data security management across different channels.
• Advanced fingerprinting and OCR for accurate detection of sensitive information.
• Pre-defined policies for compliance with regulations like GDPR, HIPAA, and PCI-DSS.

Pros:

• Versatile deployment options for various scenarios.
• Cloud application integration through APIs.
• Insightful reports identifying unauthorized IT resources.

Cons:

• Additional costs for customer support services.
• Complex and lengthy setup process.
• Occasional synchronization problems with on-premises DLP systems.
• Lack of detailed options in User and Entity Behavior Analytics (UEBA).

Pricing:

• Reach out to Forcepoint to learn about their pricing options.

6. Decube

Decube is a comprehensive Data Trust Platform designed for the modern data stack, focusing on the era of Generative AI. It provides unified solutions for data observability, data catalog, and data governance to enhance data management and trust across organizations. Decube extends data management capabilities with a focus on real-time data observability and metadata management.

Best for: data and analytics teams focused on data observability, lineage, and metadata governance within modern data stacks. Decube is a strong choice for organizations prioritizing data trust and visibility across warehouses and pipelines. It is not a replacement for Microsoft Purview when runtime DLP or enforcement is required.

Key Features:

• Data observability: Offers anomaly detection and data pipeline observability, including automated column-level lineage for impact analysis.
• Data discovery: Features robust metadata management for improved data asset discovery across various sources.
• Governance simplified: Provides automated PII tagging, data masking, and approval workflows to streamline governance processes.
• End-to-end integrations: Supports a wide range of integrations with major data platforms like Google BigQuery, Amazon Redshift, Snowflake, and more.

Pros:

• Combines observability, cataloging, and governance in one platform for holistic data oversight.
• Enhances data reliability with real-time monitoring and anomaly detection, reducing time to debug data incidents.
• Simplifies complex data governance tasks with automated tagging and masking.
• Offers broad integration options to provide flexibility across different data environments and tools.

Cons:

• The features may require a learning period for users to fully utilize the platform’s capabilities.
• As a newer solution, it may not have the same level of recognition or extensive case studies as more established platforms.
• While offering many integrations, setting up and customizing connections to various data sources and tools can be complex.

Pricing:

• Decube offers a free Community plan, with Starter and Enterprise plans for advanced features and support. Contact for prices.

7. Collibra

Collibra is a leading data intelligence platform that empowers organizations to achieve a higher level of data governance and quality. It offers an integrated suite of solutions encompassing AI Governance, Data Catalog, Data Governance, Data Quality & Observability, and more. Collibra provides a broad approach to data governance, making it suitable for organizations using diverse data systems and platforms.

Best for: large enterprises with mature data governance programs that need a comprehensive data catalog, lineage, and governance framework across diverse data systems. Collibra excels in organizing and governing data at scale but is not designed for real-time data loss prevention or SaaS-native enforcement use cases.

Key Features:

• Data catalog: Provides an organized inventory of data assets for easier access and understanding.
• Data governance: Offers tools for establishing policies, standards, and control mechanisms to manage data effectively.
• Data quality & observability: Monitors data quality and provides insights into data health and usage patterns.
• Data lineage: Visualizes data flows and dependencies across systems for better impact analysis and transparency.
• AI governance: Establishes rules and processes to govern AI and machine learning initiatives.

Pros:

• Supports diverse data environments, from cloud to on-premises.
• Covers all aspects of data governance, from cataloging and quality to privacy and compliance.
• Simplifies complex data governance tasks and makes data more accessible and actionable for all users.
• Offers extensive resources, a community of practice, and professional support to help organizations.

Cons:

• Can be expensive, particularly for small to mid-sized businesses, due to its enterprise focus.
• While versatile, integrating Collibra with existing systems and workflows can be complex and time-consuming.
• May be more than needed for organizations with simpler data governance needs or smaller data environments.

Pricing:

• Test it with your data free for 20 days. Reach out to them for pricing.

✨ How Strac Complements Purview Across the Microsoft Ecosystem

The case for an alternative to Microsoft Purview is rarely about Purview being a bad product — it is about Purview’s reach stopping where the Microsoft tenant ends. The 2026 reality is that even an all-Microsoft shop has data flows Purview cannot inspect: Slack tenant federated into Teams, customer support content in Zendesk, sales records in Salesforce, AI agents in Cursor or Claude Desktop pulling SharePoint files via Model Context Protocol. Strac sits next to Purview on every one of those paths.

Microsoft 365 Copilot, Copilot Studio, and the agentic surface

Microsoft 365 Copilot is the most-deployed enterprise AI assistant in 2026 — and the surface enterprise security teams are scrambling to instrument. The good news: Copilot in M365 inherits your tenant BAA and Purview labels. The bad news: Copilot is not the only LLM your team uses. The same employees running Microsoft 365 Copilot are pasting customer rows into ChatGPT, asking Claude Desktop to summarize a SharePoint doc, and building Copilot Studio agents that pull from connectors Purview never sees. For the BAA-and-control picture across these AI surfaces, see Is Microsoft Copilot HIPAA compliant? — the comparison with Claude, ChatGPT, and Gemini.

The SharePoint, OneDrive, Outlook, and Teams stack via MCP

Strac’s Microsoft 365 MCP DLP wraps the official M365 MCP server with continuous redaction across SharePoint files, OneDrive folders, Outlook threads, and Teams channels — the exact surfaces Purview labels. When an AI agent calls m365_get_file or m365_search_messages, Strac inspects the tool-call payload, classifies sensitive content (PII, PHI, PCI, secrets, source code, plus your custom Purview labels), and returns a redacted version. The result: the same labels Purview applies inside the tenant are honoured at the agent boundary, where Purview alone cannot reach.

Beyond the agent layer, Strac ships SaaS-native protection across the M365 surface that complements Purview’s tenant controls: Office 365 DLP for Outlook send-time inspection, OneDrive DLP for file-content discovery, and SharePoint DLP for tenant-wide classification + remediation with the labels you already use.

Where Strac is necessary and Purview alone is not

• Non-Microsoft SaaS — Slack, Salesforce, HubSpot, Notion, Zendesk, Intercom, Asana, Linear, Box, Dropbox. Purview’s native reach into these tenants is limited; Strac is purpose-built for them.
• AI agents outside M365 — Claude Desktop, Cursor, ChatGPT, Perplexity, internal agents using community MCP servers. Strac protects the tool-call boundary regardless of which model provider sits behind it.
• Claude Cowork specifically — Anthropic has not signed a BAA covering Claude consumer or Cowork plans, the surfaces knowledge workers actually use day-to-day. For healthcare orgs that means PHI flowing into a non-BAA-covered model. Strac’s data-layer redaction closes the gap without depending on Anthropic shipping a BAA. The full vendor analysis is in Is Claude HIPAA compliant?
• Image-borne data in M365 — OCR inside screenshots, image-based PDFs, scanned documents inside SharePoint and OneDrive. Strac inspects this surface at depth; Purview’s OCR coverage is uneven by service.
• Audit evidence portability — Strac's findings export directly to your compliance platform for SOC 2 CC6.6 / CC6.7, ISO 27001 A.5.12 / A.8.10-12, and HIPAA §164.312 evidence without a manual integration.

The architecture most enterprise Microsoft shops adopt in 2026: keep Purview for tenant-native classification and policy enforcement, add Strac for the SaaS-and-AI-agent perimeter Purview was never built to cover. See the MCP security pillar for the agent-layer threat model.

The Bottom Line!

When selecting the best Microsoft Purview competitors, it's essential to consider several features that align with your organization's data governance. Eliminate the complexity of using multiple tools. Strac provides unified protection across all environments.

With Strac, you'll be investing in a future-proof solution that adapts to your evolving needs. Book a demo to learn more.

✨ Strac's Endpoint Agent: Cross-Platform Endpoint DLP Beyond the Microsoft Estate

Purview Endpoint DLP works best inside the Microsoft world — Windows, Edge, and E5 licensing — and even there it is label-driven and complex to operate. macOS support lags, non-Microsoft browsers and apps are second-class, and much of the useful capability sits behind the top licensing tier.

Where a legacy endpoint tool blocks bluntly or only alerts, Strac enforces content-aware policy across every exit on the machine — file opens and downloads, USB and removable-media writes, printing, screenshots, AirDrop, clipboard, browser uploads, and text typed directly into a GenAI prompt — each set independently to Block, Warn, or Audit on Mac and Windows.

Strac's endpoint agent treats Mac and Windows as equals and does not depend on manual sensitivity labels. It classifies content itself and enforces at every exit — file, USB, print, screenshot, AirDrop, clipboard, browser upload, GenAI prompt — with per-channel Block, Warn, or Audit, in any browser.

One agent covers DLP, Shadow AI detection, and Data Lineage, without keystroke logging or screen capture, under the same policy as Strac's SaaS, GenAI, and MCP coverage. You get endpoint DLP that is cross-platform and licensing-simple instead of Microsoft-shaped and E5-gated.

🎥 The AI & MCP Era: Where Strac Goes Beyond Microsoft Purview

Purview is deeply tied to the Microsoft 365 estate — capable inside Microsoft, thin and complex outside it, and retrofitted for GenAI rather than built for it.

Where legacy tools guard the network exits, Strac secures the data where AI actually touches it: every Claude and ChatGPT prompt, and every agent tool call over MCP pulling data in from your systems. Detect, redact, mask, block, or revoke — across SaaS, cloud, GenAI, browser, endpoint, and the MCP connector directory, agentless and fast to deploy.

Related reading:

• Zendesk ADPP Alternative

🌶️ Spicy FAQs on Microsoft Purview Alternatives

Is Microsoft Purview a DLP tool or a data governance platform?

Microsoft Purview is primarily a data governance and compliance platform, not a real-time DLP tool. While it offers classification and policy management, most organizations evaluating Microsoft Purview alternatives are looking for solutions that provide inline enforcement, such as blocking or redacting sensitive data as it moves across SaaS apps, browsers, and AI tools.

When should organizations consider Microsoft Purview alternatives?

Organizations typically explore Purview alternatives when they operate outside a Microsoft-only environment, rely heavily on SaaS applications, or need real-time data loss prevention. Teams managing data across Slack, Zendesk, cloud storage, endpoints, or GenAI workflows often find Purview insufficient for runtime enforcement.

Are Microsoft Defender tools full alternatives to Microsoft Purview?

Microsoft Defender for Endpoint, Office 365, and Cloud Apps are complementary security tools, not full Microsoft Purview alternatives. They focus on endpoint protection, email security, or SaaS visibility, but they do not replace Purview’s governance capabilities or provide comprehensive cross-SaaS, real-time DLP enforcement.

What should I look for in a Microsoft Purview alternative?

When evaluating Microsoft Purview alternatives, key criteria include SaaS coverage, real-time enforcement, DSPM capabilities, browser and GenAI protection, and deployment complexity. Organizations should prioritize solutions that match how data actually moves through their environment, rather than relying solely on labeling and post-incident alerts.

Can Microsoft Purview alternatives protect data in GenAI tools like ChatGPT or Copilot?

Most traditional governance platforms, including Microsoft Purview, have limited visibility into GenAI prompt and response flows. Modern Purview alternatives with browser-level and AI-native controls are better suited to prevent sensitive data exposure during AI interactions by enforcing policies in real time.