Best Power Platform DLP & Governance Tools in 2026

Power Platform governance is no longer optional. Microsoft reported 56 million monthly active Power Platform users in FY2025, illustrating the scale at which organizations now need to govern low-code applications, automations, and agents. The challenge intensifies as AI assistants and agents initiate data access and actions across connectors, SaaS applications, endpoints, and Model Context Protocol (MCP) workflows. Many incumbent DLP products originated around human-operated channels and deterministic policies, but leading platforms have since added machine learning, behavioral risk signals and adaptive enforcement, and Copilot protections. The breadth of AI agent and local MCP coverage still varies substantially by vendor. Choosing a purpose-built AI data security platform can help organizations extend governance beyond Power Platform-native controls to the surrounding Microsoft 365, endpoint, SaaS, browser, and AI ecosystem. This guide examines seven tools that serve different Power Platform governance needs in 2026, starting with Nightfall AI for cross-surface data movement control and then covering Microsoft-native controls for connector governance, environment governance, inventory visibility, and Microsoft data protection.

Key Takeaways

• AI-era data security requires coverage for both human and machine-initiated activity: Modern DLP platforms increasingly use machine learning, behavioral signals, and AI-specific controls. Coverage for local agents, MCP traffic, AI applications, endpoints, and SaaS data paths varies by product
• Microsoft-native licensing depends on the specific control: Several Microsoft governance and DLP capabilities carry no separate feature fee when an organization already has qualifying licenses, but entitlement varies by workload, user, environment, and feature, especially for Managed Environments and Microsoft Purview
• Power Platform-native governance comes from Power Platform controls: Advanced Connector Policies, Managed Environments, and Power Platform inventory provide connector governance, environment governance, and tenant-wide resource visibility; Microsoft Purview DLP complements these controls rather than replacing them
• Detection precision determines operational burden: False positives increase triage volume, but vendor accuracy figures are not directly comparable unless products are tested under the same independent methodology
• Deployment architecture and scope shape rollout effort: API-connected SaaS integrations and multi-channel enterprise DLP deployments use different rollout, policy, and tuning models

1. Nightfall AI

Nightfall AI delivers an AI data security platform that governs how sensitive data is accessed, moved, and exposed across human activity and AI agent workflows. The platform provides real-time visibility and control over data movement through AI applications, coding tools, email, endpoints, browsers, and SaaS applications.

How Does Nightfall AI Work?

Nightfall uses AI-native detection powered by supervised fine-tuned models to secure data flows, uncover Shadow AI and agent chains, and distinguish legitimate business activity from dangerous exfiltration. Key capabilities include:

• Unified Detection Brain: One detection engine operates across SaaS, endpoints, AI agents, and MCP workflows. Nightfall reports 95% precision for its detection technology
• Real-Time Control: Depending on the integration, policy type, traffic direction, and underlying platform capability, Nightfall supports real-time controls including block, coach, redact, delete, revoke permissions, quarantine, encrypt, and automated or user-driven remediation
• AI Agent and MCP Security: Nightfall provides MCP security with local stdio and remote HTTP/SSE MCP discovery, hooks enforcement in Cursor, Claude Code, and VS Code, per-server risk scoring, real-time policy enforcement on MCP tool calls and responses, and prompt injection detection on agent traffic
• Rapid Deployment: Nightfall says SaaS integrations can be activated in minutes and endpoint agents can be distributed fleet-wide through MDM, with exact rollout time depending on fleet size and deployment scope. Nightfall also reports an endpoint footprint of approximately 1% CPU and 50 MB RAM, with actual resource use varying by workload and configuration

Detection and Remediation Capabilities

Nightfall's data detection engine includes ML detectors for PII, PHI, secrets, credentials, and financial data, plus LLM classifiers across 20+ categories. The platform supports customer-trainable and auto-retraining capabilities to improve accuracy over time.

For remediation, Nightfall goes beyond visibility. Alerts can be routed to Slack, Teams, Jira, email, or SIEM, while employee coaching can be delivered in-app or through Slack, Teams, or email. Remediation itself executes in the applicable source integration or through supported APIs and webhooks. Nightfall supports manual or automated approval and justification workflows where the underlying integration supports them.

Power Platform Adjacent Coverage

Nightfall provides API-first SaaS DLP integrations for Microsoft collaboration applications including Microsoft Teams, Microsoft OneDrive, Microsoft Exchange Online, and Microsoft SharePoint Online. Its endpoint agent can inspect traffic to SaaS and desktop applications whether or not Nightfall has a direct API integration.

Nightfall is best positioned as the AI data security layer around Power Platform-native connector, environment, and maker governance. It extends protection to Microsoft 365 collaboration surfaces, endpoints, browsers, SaaS applications, AI tools, and agentic workflows. Its focus on preventing Shadow AI leakage is particularly relevant as Power Platform users adopt AI assistants and agentic workflows.

Best For: Organizations seeking a unified control platform for sensitive data moving across SaaS, endpoints, browsers, AI applications, and AI agent workflows, alongside Power Platform-native governance controls.

2. Microsoft Purview DLP

Microsoft Purview DLP provides data loss prevention across Microsoft 365 services, endpoints, supported cloud applications, Microsoft 365 Copilot, and other Microsoft data locations. It complements Power Platform governance, but it is not the control plane for Power Apps or Power Automate connector classification.

Core Capabilities

• Microsoft 365 DLP Coverage: Purview DLP protects Exchange, SharePoint, OneDrive, and Teams, supports onboarded Windows and macOS endpoints, and extends in preview to supported non-Microsoft connected applications
• Microsoft 365 Copilot Protection: Purview DLP can detect sensitive information in Copilot and Copilot Chat prompts and, when the relevant rule is enforced, restrict qualifying prompts from being processed
• Endpoint DLP: Purview supports onboarded Windows 10, Windows 11, and supported macOS devices. Automatic sensitivity labeling is a separate Microsoft Purview Information Protection capability
• Adaptive Protection: Purview can combine Insider Risk Management signals with DLP and Conditional Access, and Microsoft documents separate risk levels for users and agents
• Non-Microsoft SaaS Coverage: In preview, Purview supports DLP for connected applications including Box, Dropbox, Google Workspace, and Salesforce

Pricing and Availability

Microsoft 365 E5 is currently listed at $60 per user per month on annual commitment and includes Microsoft Purview Suite capabilities. Microsoft also lists the Microsoft Purview Suite at $12 per user per month for qualifying Microsoft 365 E3 or Office 365 E3 plus Enterprise Mobility + Security E3 customers. Microsoft identifies Microsoft Purview Suite as the current name for the offering formerly called Microsoft 365 E5 Compliance.

Licensing varies by DLP feature, policy location, and adjacent Purview capability, so entitlement depends on the specific Microsoft security and compliance configuration.

Power Platform Role

Power Platform connector governance is handled through Power Platform data policies and Advanced Connector Policies, not through Microsoft Purview DLP. Purview does extend beyond Microsoft 365 to selected non-Microsoft SaaS and managed-cloud scenarios, but coverage and available actions vary by application and integration model, with some capabilities still in preview.

Purview therefore serves as a complementary Microsoft data-protection layer, while Power Platform connector governance remains in the Power Platform control plane. A detailed architecture comparison is available in Nightfall versus Purview.

Best For: Organizations standardized on Microsoft that need broad Microsoft 365, endpoint, Copilot, and supported cloud-app DLP alongside Power Platform-native governance controls.

3. Power Platform Admin Center Inventory

Power Platform admin center Inventory is Microsoft's current native capability for tenant-wide visibility across Power Platform resources. Microsoft states that the CoE Starter Kit's core capabilities are now part of the Power Platform admin center, and Inventory provides the consolidated tenant-wide resource view directly in that admin center.

Key Features

• Tenant-Wide Resource Inventory: The inventory includes agents, apps, cloud flows, environments, environment groups, and other supported Power Platform resources
• Connector Inventory (Preview): Microsoft's connector inventory captures connectors and connector operations used by supported resources, helping administrators identify affected assets, scope policy changes, and review connector footprints
• Administrative Visibility: Global administrators, Power Platform administrators, Dynamics 365 administrators, and specified reader roles can review resources according to role-based access
• Export and Programmatic Access: Administrators can export the inventory to CSV or retrieve inventory data through Power Platform APIs and connectors

Governance Role

Inventory is a visibility and administration capability rather than a standalone DLP engine. Its value is in showing what exists and how resources use connectors so administrators can make more informed policy, lifecycle, licensing, and remediation decisions. Enforcement comes from controls such as Advanced Connector Policies, classic data policies, Managed Environments, and other Power Platform security settings.

Legacy Note: Microsoft CoE Starter Kit

The CoE Starter Kit historically provided inventory, governance, analytics, and maker-management components for Power Platform. As of 2026, Microsoft states that the Power Platform CoE Starter Kit is no longer actively maintained and that its core capabilities are now part of the Power Platform admin center. Existing organizations may continue to depend on specific legacy CoE components, but new governance architectures should prioritize Microsoft's current native admin-center capabilities.

Best For: Organizations that need current, Microsoft-native tenant inventory and resource visibility to support Power Platform governance, lifecycle management, and policy planning.

4. Strac

Strac provides AI-oriented DLP and data security posture management for SaaS, cloud, GenAI, endpoints, and MCP workflows. In a Power Platform architecture, it is best viewed as a complementary cross-SaaS and AI data-protection layer rather than a Power Platform-native governance system.

Platform Capabilities

• Integration Coverage: Strac says it supports 50+ SaaS applications, including Slack, Gmail, Microsoft 365, Salesforce, Zendesk, SharePoint, OneDrive, Notion, Jira, ChatGPT, Claude, Google Drive, Confluence, and GitHub
• Remediation Workflows: Strac documents inline redaction, masking, link revocation, cleanup, and other remediation workflows across supported integrations
• MCP DLP: Strac says its MCP DLP inspects MCP calls and can redact, mask, block, or alert on sensitive data while maintaining an audit trail
• Detection Coverage: Strac currently advertises 100+ built-in sensitive-data detectors covering PII, PHI, PCI, secrets, source code, and confidential business data, plus custom detectors

Deployment and Pricing

Strac supports deployment across its SaaS integrations. Its current pricing page is quote-based, with pricing scoped according to protected surfaces, integrations, data volume, and employee count rather than a public standardized per-user price card.

Customer Base

Strac lists UiPath, Crypto.com, and Underdog Fantasy among its deployments. These names are vendor-published customer references rather than an independent measure of market share. Nightfall differentiates through one AI-native detection brain across SaaS, endpoints, browsers, and AI-agent workflows, including dedicated local and remote MCP controls.

Best For: Organizations seeking broad SaaS and AI-oriented DLP coverage with quote-based pricing tied to integrations, protected surfaces, usage, and headcount.

5. Managed Environments

Managed Environments is a premium Power Platform capability set that gives administrators additional controls and insights for managing Power Platform at scale.

Enforcement Capabilities

• Solution Checker Enforcement: Managed Environments can run Solution Checker against imported custom solutions and, in Block mode, prevent imports that contain critical violations
• Sharing Limits and Usage Insights: Administrators can restrict app sharing and receive weekly usage insights for managed environments
• Data Policies and Connector Governance: Managed Environments include Power Platform data-policy visibility and management, while Managed Environments also unlock broader connector and action blocking options for Advanced Connector Policies
• Additional Security Controls: IP Firewall, Customer Managed Key, environment groups, maker welcome content, and other controls are separate Managed Environments capabilities rather than a single data-policy feature
• Automated Governance Controls: Configured platform policies can reduce manual administration, but they do not eliminate the need for governance, risk, or compliance review

Availability and Pricing

As of September 2026, Power Apps Premium is $20 per user per month, and Power Automate Premium is $15 per user per month. Microsoft has announced that the Power Apps Premium list price will increase to $22 per user per month on January 1, 2027. These licenses can provide qualifying Managed Environments entitlement, but Microsoft requires active usage in a Managed Environment to be covered by a qualifying standalone license or eligible usage-based entitlement.

Licensing exposure therefore depends on how active users and workloads are covered by qualifying standalone licenses or eligible usage-based entitlements.

Complementary Deployment

Managed Environments provides platform-level administrative and enforcement controls. Combined with Advanced Connector Policies and Power Platform admin center Inventory, it forms a current Microsoft-native governance foundation for controlling environments, connectors, sharing, solution quality, and asset visibility.

Best For: Organizations with qualifying Power Platform licensing that need native environment governance, administrative enforcement, and stronger controls at scale.

6. Forcepoint DLP

Forcepoint DLP delivers broad enterprise data loss prevention across AI, cloud, web, email, endpoint, and network channels. Like Strac and Nightfall, it complements Power Platform-native administration rather than replacing maker, environment, or connector governance inside Power Platform.

Enterprise Capabilities

• Risk-Adaptive Protection: Forcepoint applies risk-aware controls based on user behavior and context and adjusts policy enforcement as risk changes
• Comprehensive Channel Coverage: Forcepoint documents unified protection across AI, cloud, web, email, endpoint, and network under a consistent policy architecture
• Pre-Built Compliance Templates: Forcepoint provides predefined policies and templates for industry-specific and regional compliance requirements
• Behavioral Risk Context: Forcepoint contextualizes user behavior to forecast risk and automatically adjust policies

Market Position

Forcepoint DLP has more than 600 Gartner Peer Insights ratings as of September 2026. The count reflects a substantial review base on that platform, but it should not be treated as a market-wide evidence benchmark.

Forcepoint was also named a Strong Performer in The Forrester Wave: Data Security Platforms, Q1 2025. Forcepoint reports that it received the highest possible score in four criteria, including Data Classification and Data Loss Prevention.

Implementation Considerations

Forcepoint does not publish a standardized public list price for enterprise DLP. Deployment and tuning requirements depend on channel coverage, policy complexity, organizational size, and operating model. Nightfall approaches the problem with an AI-native control plane that emphasizes content and context across SaaS, endpoints, browsers, local and remote MCP, and coding-agent workflows. A detailed comparison is available in Nightfall versus Forcepoint.

Best For: Large enterprises that need broad DLP coverage across endpoint, network, email, web, cloud, and AI channels, with behavioral risk-based enforcement.

7. Advanced Connector Policies

Advanced Connector Policies are Microsoft's next-generation control model for Power Platform connector governance. They became generally available on June 4, 2026 and move supported certified connectors beyond the classic Business, Non-Business, and Blocked classification model toward a strict allowlist with more granular controls.

Architecture Improvements

• Action-Level Precision: For supported certified connectors, administrators can allow or block connectors and specific actions rather than governing only at the connector category level
• Default-Deny Posture: Connectors and actions are blocked unless explicitly allowed, and newly added connectors are blocked by default
• Environment and Environment Group Support: Policies can be configured directly on a single environment or deployed through environment groups
• MCP Server Governance: ACP can identify and block an MCP server as a whole, although Microsoft currently does not provide individual MCP tool or action control within a server

Migration from Classic Data Policies

Advanced Connector Policies do not replace classic Power Platform data policies in every current scenario. Microsoft documents Mixed Mode as the default, where ACP and classic data policies are evaluated together and the most restrictive applicable result is enforced. Organizations can move to ACP-only mode after completing migration where appropriate.

For standard connector governance, ACP currently supports certified connectors, while MCP connectors are supported at the MCP-server level. Custom connectors and HTTP connectors are not yet supported by ACP and still require classic data policies. Each environment supports a maximum of one effective ACP, either configured directly or inherited from an environment group, but that ACP can still coexist with classic data policies in Mixed Mode.

Availability

Microsoft documents that single-environment ACP works in both managed and non-managed environments without extra cost. Environment-group ACP is part of the Managed Environments governance model, and Managed Environments also allow administrators to block connectors or actions that remain nonblockable in non-managed environments.

Best For: Power Platform organizations that need native connector governance with default-deny policy, supported action-level controls, environment-level enforcement, and a migration path from classic data policies.

Why Nightfall AI Stands Out for Power Platform Data Security

AI-Native Detection Built for Modern Data Movement

Many DLP products now use machine learning, content classification, behavioral signals, and adaptive controls. Nightfall's differentiation is not that every incumbent remains limited to static rules. It is the combination of content-aware detection with coverage designed for SaaS, endpoints, browsers, AI applications, coding agents, and MCP workflows. Nightfall reports 95% precision for its detection technology, although vendor precision figures should not be compared directly unless they are measured under the same independent methodology.

Unified Control Across Every Surface

Enterprise architectures vary. Some use multiple products or modules, while others consolidate DLP and adjacent controls within broader suites. Nightfall's current pricing and product materials describe one policy across endpoint, SaaS, and AI agents, giving organizations a consistent control model across the surfaces Nightfall supports.

For Power Platform, this is complementary rather than substitutive. Advanced Connector Policies, Managed Environments, and Power Platform Inventory remain the native controls for connector, environment, and tenant governance.

Real-Time Control Beyond Visibility

Visibility without enforcement provides limited protection. Depending on the integration and underlying platform capabilities, Nightfall supports real-time controls such as block, coach, redact, delete, revoke permissions, quarantine, encrypt, and automated or user-driven remediation. This allows security teams to tailor enforcement according to destination, user group, data class, and workflow rather than relying only on alerting.

MCP and AI Agent Security

Coverage of local agentic and MCP workflows varies across the DLP market, including support for local stdio MCP, remote HTTP/SSE MCP, IDE agents, and agent-to-SaaS traffic.

Nightfall documents local and remote MCP discovery, per-server risk scoring, MCP tool-call policy enforcement, and IDE hooks, with additional agent-security controls described through MCP security. This gives Nightfall a credible differentiation point for organizations whose Power Platform deployments sit alongside developer agents, AI applications, and MCP-connected tools.

Rapid Deployment and Time to Value

Nightfall reports that teams can establish API-based SaaS protection quickly without network changes and distribute endpoint agents through MDM. Its current pricing page says that connecting a SaaS application or deploying the endpoint agent to hundreds of users takes about 10 minutes, while another current Nightfall page cites an approximately 30-minute endpoint deployment scenario via MDM. These are scenario-specific vendor claims, so the defensible conclusion is that Nightfall is designed for rapid initial deployment while exact fleet-wide rollout time depends on deployment scope.

For security teams evaluating Power Platform governance tools, Nightfall AI is strongest when paired with Microsoft's native Power Platform controls. Microsoft governs the Power Platform control plane; Nightfall extends sensitive-data protection across Microsoft 365 collaboration surfaces, managed endpoints and browsers, AI applications, and agentic workflows. Request a demo to see how Nightfall can protect sensitive data moving across the ecosystem surrounding your Power Platform environment.

Frequently Asked Questions

What is the primary difference between traditional DLP and AI-native data security?

Conventional DLP originated around channels such as email, endpoints, web traffic, file sharing, and removable media. Current enterprise DLP products are no longer uniformly limited to static rules: Microsoft Purview uses machine learning and adaptive risk signals, while Forcepoint offers risk-adaptive enforcement. AI-native data security platforms distinguish themselves by how comprehensively they cover AI applications, agent tools, MCP traffic, and machine-initiated workflows in addition to established DLP channels. Specific coverage and enforcement differ by architecture, so current enterprise DLP products should not be treated as having identical limitations.

How does the Power Platform introduce new data security challenges?

Power Platform enables citizen developers and professional developers to create applications, automations, and agents that connect to many data sources. That scale can create governance blind spots if organizations do not maintain inventory, connector policies, environment controls, and data-protection policies. AI assistants and agents add machine-initiated data paths that should be assessed separately from conventional user activity. Advanced Connector Policies, Managed Environments, Inventory, and complementary DLP platforms address different parts of that problem.

Can Microsoft Purview fully secure AI agent activity within the Power Platform?

Microsoft Purview now includes Microsoft 365 Copilot DLP controls, machine-learning-supported detection, Adaptive Protection, and documented risk concepts for users and agents. However, Power Platform connector governance itself belongs to Power Platform data policies and Advanced Connector Policies, not Purview DLP. For AI agents that operate outside the Microsoft control plane, including local IDE agents and local or remote MCP workflows, visibility and enforcement vary by path. Nightfall provides MCP security and coding-agent coverage that complements Microsoft's native Power Platform and Purview controls.

What are the key benefits of a unified control platform for data security?

A unified platform can reduce policy fragmentation, consolidate telemetry, and simplify investigation and administration when it replaces overlapping tools. It may also reduce total cost of ownership, but actual savings depend on licensing, migration cost, coverage, staffing, and existing enterprise agreements. The practical benefit is consistency: a common policy and detection model can make it easier to govern supported SaaS, endpoint, browser, email, and AI workflows from fewer operational surfaces.

How quickly can a modern DLP solution like Nightfall AI be deployed?

Nightfall reports rapid API-based SaaS activation and MDM-based endpoint deployment. Its current pricing page says connecting an individual SaaS application or deploying the endpoint agent to hundreds of users takes about 10 minutes, while another current first-party page cites an approximately 30-minute endpoint deployment scenario via MDM. These are scenario-specific vendor claims. Initial coverage may therefore be established quickly, while full production deployment depends on fleet size, integrations, policy design, and rollout requirements.

What kind of compliance regulations do DLP and governance tools help address?

DLP and governance tools can support compliance programs for frameworks and regulations such as HIPAA, PCI DSS, GDPR, CCPA, SOC 2, and SOX by enforcing data-handling policies, restricting inappropriate connector use, detecting sensitive data movement, and generating audit evidence. They do not create comprehensive regulatory compliance on their own. For example, HIPAA's Security Rule requires a broader combination of administrative, physical, and technical safeguards in addition to data-loss-prevention controls.