Defense contractors handling Controlled Unclassified Information (CUI) must address evolving cybersecurity requirements. On July 13, 2026, the Department of Defense announced the suspension of CMMC Phase 2, while Phase 1 self-assessment requirements remain in effect. NIST SP 800-171 Rev. 2 continues to apply where required by relevant defense contracts. According to IBM's 2026 Cost of a Data Breach Report, the global average cost of a data breach reached $4.99 million. Meanwhile, AI agents and automated workflows are creating additional paths for sensitive data movement.
Protecting CUI requires attention to data movement across files, email, endpoints, SaaS applications, AI copilots, coding assistants, and Model Context Protocol (MCP) workflows. Organizations can use data exfiltration prevention capabilities to detect sensitive information and apply policies across supported human and AI-agent workflows.
This guide examines 10 DLP and related data protection solutions, comparing their supported security capabilities, deployment approaches, and potential contributions to selected NIST SP 800-171 requirements. These products can support particular safeguards, but their use does not independently establish NIST SP 800-171 compliance or CMMC certification.
Key Takeaways
- NIST SP 800-171 Rev. 2 contains 110 security requirements across 14 control families and provides the requirements currently referenced for CMMC Level 2. DLP capabilities can contribute to selected requirements involving CUI flow, audit records, and information protection, alongside other technical and procedural safeguards.
- AI agents and copilots introduce additional CUI data movement scenarios, including prompts, tool calls, and connected applications. Real-time data classification and policy enforcement can help manage sensitive information across supported workflows.
- CMMC Phase 1 remains active while Phase 2 requirements are suspended, and applicable NIST SP 800-171 Rev. 2 obligations remain in effect.
- Real-time policy enforcement complements monitoring and investigation by enabling configured controls to act when sensitive information is accessed, shared, or transferred.
- A unified approach can simplify data security operations by coordinating DLP, insider risk management, and AI governance capabilities, while supporting the broader requirements of an organization's compliance program.
1. Nightfall AI
Nightfall is a unified AI data security platform. Its core message is simple: AI moves your data. Nightfall controls it. Nightfall supports sensitive-data detection and policy enforcement across supported SaaS applications, endpoints, and AI-agent workflows. Its AI-native detection engine is designed to reduce manual policy tuning, with Nightfall reporting 95% detection precision.
Primary Focus
Nightfall provides a unified AI data security platform for organizations requiring real-time control over sensitive data movement across humans, AI agents, copilots, SaaS, email, browsers, endpoints, and MCP workflows.
Key Features
- AI-native detection with ML detectors for PII, PHI, secrets, credentials, and financial data
- MCP security for AI agent activity and sensitive data exposure prevention
- Real-time blocking and coaching, plus integration-specific remediation actions including redaction, deletion, access revocation, quarantine, and encryption
- Endpoint-agent controls and API-based SaaS integrations designed for rapid deployment
- AI-native classification designed to reduce false-positive alerts
- Activity monitoring and audit-oriented records across supported SaaS and endpoint integrations
NIST 800-171 Coverage Considerations
- AC.L2-3.1.3 (Control CUI Flow): Configured data movement policies may contribute to controlling CUI flow across supported applications and workflows.
- AU.L2-3.3.1 (Audit Records): Activity and incident records may contribute supporting information to an organization's audit records.
- SC.L2-3.13.1 (Boundary Protection): Data movement controls may complement security protections at defined system boundaries.
"Nightfall is reliable. When it says there's a detection, we trust that detection. For people in my field, that's a big factor. You don't want to waste time chasing ghosts," says Victor Sogaolu, Staff Security Engineer at Snyk, in the Snyk customer story.
Why Defense Contractors Choose Nightfall
Nightfall addresses AI-era data security by helping organizations understand and control how sensitive information moves across human and AI-agent workflows. Its capabilities span supported endpoints, browsers, SaaS applications, email, copilots, MCP servers, and AI agents, contributing to a broader CUI protection strategy.
Nightfall brings AI-native detection, investigation context, and real-time enforcement into a unified approach to data security. Organizations can configure policies that detect sensitive information and block, coach, or remediate risky activity across supported human and AI-agent workflows.
2. Microsoft Purview DLP
Microsoft Purview provides data loss prevention capabilities across Microsoft 365 services, including Exchange, SharePoint, OneDrive, and Teams. It also supports endpoint DLP for Windows and macOS, policy controls for supported non-Microsoft cloud applications, and data protection for supported AI interactions. Classification capabilities include sensitive information types and trainable classifiers.
Primary Focus
Enterprise data loss prevention and information protection across Microsoft 365, supported non-Microsoft cloud applications, endpoints, browsers, and AI-related workflows, with capabilities dependent on licensing and configuration.
Key Features
- Native integration with Microsoft 365 applications
- Endpoint DLP covering Windows and macOS
- Compliance Manager with direct NIST 800-171 control mappings
- Data classification and trainable classifiers
- Policy-based controls for sensitive data movement across Microsoft 365, supported non-Microsoft cloud applications, endpoints, and browser-based interactions
- USB and removable media controls on endpoints
NIST 800-171 Coverage Considerations
- SC.L2-3.13.1 (Boundary Protection): DLP policies at Exchange, Teams, OneDrive boundaries
- AC.L2-3.1.3 (Control CUI Flow): Policy-based controls on data movement
- MP.L2-3.8.7 (Media Protection): USB and removable media controls on endpoints
Microsoft Purview offers configurable data protection and compliance management capabilities for supported Microsoft 365 services, endpoints, and connected applications. These capabilities can support selected CUI safeguards, depending on the organization's licensing, workload configuration, and implementation.
How Nightfall Differs
Microsoft Purview offers data protection across Microsoft 365, supported non-Microsoft applications, endpoints, and AI interactions. Nightfall provides a unified AI data security platform with direct integrations for applications such as Slack, GitHub, Jira, and Google Workspace, alongside endpoint security and MCP security for supported local and remote AI-agent workflows. Nightfall's approach centers on AI-native sensitive-data detection and real-time policy enforcement.
3. Symantec DLP (Broadcom)
Symantec DLP offers coverage across endpoint, network, storage, cloud, and email channels. The platform provides advanced content inspection including document fingerprinting, OCR, and ML classification.
Primary Focus
Multi-channel DLP for large enterprises across endpoint, network, cloud, storage, and email, with advanced content inspection capabilities.
Key Features
- Multi-channel coverage across endpoint, network, cloud, storage, and email
- Advanced content inspection and document fingerprinting
- Highly customizable policies and detection engines
- OCR and ML-based classification
- Network DLP at perimeter and internal boundaries
- Detailed logging across all DLP channels
NIST 800-171 Coverage Considerations
- SC.L2-3.13.1 (Boundary Protection): Network DLP at perimeter and internal boundaries
- AC.L2-3.1.3 (Control CUI Flow): Configurable data movement policies across supported endpoint, network, cloud, and email channels
- AU.L2-3.3.1 (Audit Records): Detailed logging across all DLP channels
Symantec provides multi-channel DLP capabilities for enterprise environments.
How Nightfall Differs
Symantec DLP provides content inspection and configurable policies across endpoint, network, storage, cloud, web, and email environments, including supported SaaS integrations. Nightfall provides AI-native detection and policy enforcement across SaaS applications, endpoints, copilots, coding assistants, and MCP servers. Its detection architecture uses contextual analysis to support sensitive-data security decisions across human and AI-agent workflows.
4. CurrentWare
CurrentWare provides a unified endpoint suite including DLP, monitoring, web filtering, and device control.
Primary Focus
Endpoint data protection, device control, web filtering, and activity monitoring, including controls for USB devices, removable media, file transfers, and application access.
Key Features
- USB and removable media control (AccessPatrol)
- Web and application monitoring (BrowseReporter)
- File transfer tracking and screenshot monitoring
- Comprehensive activity logging
- Web filtering and application blocking
- Cloud-hosted and on-premises deployment options
NIST 800-171 Coverage Considerations
- MP.L2-3.8.7 (Media Protection): Strong USB and removable media controls
- AC.L2-3.1.3 (Control CUI Flow): Web filtering and application blocking
- AU.L2-3.3.1 (Audit Records): Comprehensive activity logging and screenshots
CurrentWare provides endpoint and device controls for organizations managing data movement through workstations, removable media, and web applications. Its configurable policies, activity monitoring, and deployment options can support selected operational controls relevant to CUI protection.
How Nightfall Differs
CurrentWare focuses on endpoint and device controls for local workstations. Nightfall extends data protection into cloud-native environments where defense contractors collaborate today, including Slack channels, GitHub repositories, Jira tickets, and shared Google Workspace files. Nightfall also enforces real-time policy across SaaS data movement and AI agent workflows.
5. Forcepoint DLP
Forcepoint DLP combines content inspection, behavioral analytics, and risk-adaptive policy enforcement across supported data movement channels. Its policies can incorporate user-risk context and activity patterns when determining appropriate data protection actions.
Primary Focus
Risk-adaptive DLP for organizations managing insider risk, with behavioral analytics that adjust policies based on user risk profiles and activity patterns.
Key Features
- Risk-adaptive DLP with behavioral context
- Cross-channel policy enforcement
- User and Entity Behavior Analytics (UEBA) integration
- Enhanced logging with behavioral context
- Cloud and on-premises deployment options
- Dynamic policy adjustment based on user risk
NIST 800-171 Coverage Considerations
- AC.L2-3.1.3 (Control CUI Flow): Risk-based controls on data movement
- AU.L2-3.3.1 (Audit Records): Enhanced logging with behavioral context
Forcepoint combines behavioral context and content-based controls to support data protection, insider risk monitoring, and investigations. Its risk-adaptive policies can contribute to controlling sensitive-data movement across supported enterprise environments.
How Nightfall Differs
Forcepoint combines risk-adaptive DLP with controls for AI interactions, including prompts, file uploads, and agent activity. Nightfall brings AI-native detection and real-time enforcement across endpoints, SaaS, and MCP workflows, including local and remote agent activity. The same policy framework supports sensitive-data controls for humans and AI agents.
6. Netwrix Endpoint Protector
Netwrix Endpoint Protector provides endpoint DLP and device controls across Windows, macOS, and Linux. Built-in compliance templates for HIPAA, GDPR, and PCI DSS accelerate policy development.
Primary Focus
Cross-platform endpoint DLP for contractors with heterogeneous Windows, macOS, and Linux environments, with device control capabilities.
Key Features
- Cross-platform support (Windows, macOS, Linux)
- Strong device control for USB and peripherals
- Content-aware DLP with built-in compliance policies
- Removable-media encryption enforcement on supported operating systems
- Multi-OS endpoint visibility
- Pre-built compliance policy templates
NIST 800-171 Coverage Considerations
- MP.L2-3.8.7 (Media Protection): Comprehensive USB and removable media controls
- MP.L2-3.8.8 (Portable Storage Ownership): Controls that can support restrictions on portable storage devices without identifiable owners
- AC.L2-3.1.3 (Control CUI Flow): Content-aware enforcement at endpoints
For defense contractors with Linux workstations or heterogeneous environments, Netwrix provides endpoint DLP and device control across Windows, macOS, and Linux.
How Nightfall Differs
Netwrix provides cross-platform endpoint DLP, including content-aware controls for AI interactions. Nightfall adds application-native scanning and remediation across SaaS applications, together with endpoint security and AI-agent/MCP governance. Its policy enforcement supports sensitive-data movement across collaboration and development workflows including Slack, GitHub, Jira, and Google Workspace.
7. Trellix DLP (formerly McAfee)
Trellix DLP provides data discovery, classification, policy enforcement, and monitoring capabilities across supported endpoint, network, and cloud environments. It forms part of Trellix's broader enterprise security portfolio, which also includes extended detection and response capabilities.
Primary Focus
DLP integrated with an XDR platform for organizations connecting data protection with threat detection and response.
Key Features
- XDR integration connecting DLP with security operations
- Discovery, classification, policy deployment, and real-time response
- User coaching capabilities
- Network and cloud boundary enforcement
- Multi-channel policy enforcement
- Centralized DLP event monitoring and security reporting
NIST 800-171 Coverage Considerations
- SC.L2-3.13.1 (Boundary Protection): Network and cloud boundary enforcement
- AC.L2-3.1.3 (Control CUI Flow): Multi-channel policy enforcement
Trellix connects DLP functions with broader security operations through its XDR platform.
How Nightfall Differs
Trellix integrates DLP with broader XDR capabilities for threat correlation. Nightfall focuses specifically on AI-era data security, with controls for AI agent workflows, coding assistants, and autonomous data movement. Nightfall applies AI-native detection and real-time enforcement to sensitive data movement across humans and AI agents.
8. Netskope DLP
Netskope provides DLP within its SASE and Security Service Edge architecture, combining capabilities such as Zero Trust Network Access, Cloud Access Security Broker, and Secure Web Gateway. The Netskope One Client supports policy enforcement across configured user devices and network access paths.
Primary Focus
DLP within a SASE architecture for cloud-first organizations, combining Zero Trust access controls with cloud security broker capabilities.
Key Features
- SASE platform with integrated DLP
- Real-time data protection across cloud services, websites, AI, and private apps
- Zero Trust integration
- SASE-based boundary enforcement for remote access
- Cloud Access Security Broker (CASB) capabilities
- Unified client for distributed workforce
NIST 800-171 Coverage Considerations
- SC.L2-3.13.1 (Boundary Protection): SASE-based boundary enforcement for remote access
- AC.L2-3.1.20 (External Connections): Controls on connections to and use of external systems
For defense contractors with distributed operations and cloud adoption, Netskope provides DLP controls relevant to selected NIST SP 800-171 safeguards within its broader security platform.
How Nightfall Differs
Netskope provides inline and API-based data protection for supported SaaS applications, web traffic, endpoints, and AI workflows. Its AI Gateway and Agentic Broker capabilities include controls for MCP communications, including DLP inspection and access policies. Nightfall provides a unified AI data security platform combining direct SaaS integrations, endpoint controls, contextual detection, and local and remote MCP security. Nightfall applies policies to sensitive data movement and AI activity across supported collaboration, development, and agentic workflows.
9. Digital Guardian (Fortra)
Digital Guardian, now part of Fortra's DLP portfolio, provides data protection focused on sensitive information and intellectual property across supported endpoint, network, and cloud environments. Deployment options include SaaS, managed service, and on-premises configurations.
Primary Focus
Data loss prevention for sensitive enterprise information and intellectual property, combining content-aware policies, contextual classification, and data movement controls across supported environments.
Key Features
- Deep endpoint visibility across operating systems
- Data classification and tagging at creation
- Intellectual property protection focus
- Flexible deployment options (SaaS, managed, on-premises)
- Detailed endpoint activity logging
- Content-aware policy enforcement
NIST 800-171 Coverage Considerations
- MP.L2-3.8.7 (Media Protection): Strong endpoint removable media controls
- AC.L2-3.1.3 (Control CUI Flow): Endpoint-based data movement controls
- AU.L2-3.3.1 (Audit Records): Detailed endpoint activity logging
Digital Guardian provides endpoint controls for protecting high-value technical data and intellectual property.
How Nightfall Differs
Digital Guardian provides content-aware data protection and policy enforcement across supported endpoint, network, and cloud environments, including intellectual property use cases. Nightfall focuses on AI data security across human and AI-agent workflows, including application-native SaaS scanning, real-time enforcement, coding assistant activity, and MCP security. Its supported collaboration and development integrations include Slack, GitHub, and Jira.
10. Kiteworks Private Data Network
Kiteworks provides a Private Data Network that supports secure file sharing, managed file transfer (MFT), SFTP, and email communications. The FedRAMP Marketplace lists Kiteworks Federal Cloud as certified at the Moderate impact level and Kiteworks Secure Gov Cloud as undergoing an agency authorization process at the High impact level. These statuses apply to their respective cloud service offerings.
Primary Focus
Private Data Network architecture for contractors exchanging CUI with partners, subcontractors, and government customers, spanning secure file sharing, managed file transfer, SFTP, and email with audit trails.
Key Features
- Private Data Network architecture
- FedRAMP Moderate certification for Kiteworks Federal Cloud; agency authorization in process at the High impact level for Kiteworks Secure Gov Cloud
- End-to-end encryption and zero-trust access
- Chain-of-custody reporting for CUI tracking
- Unified governance across file sharing, MFT, SFTP, and email
- Comprehensive audit trails
NIST 800-171 Coverage Considerations
- SC.L2-3.13.1 (Boundary Protection): Unified boundary controls for content communications
- AU.L2-3.3.1 (Audit Records): Chain-of-custody audit trails
Kiteworks provides governance, access controls, and audit capabilities for organizations exchanging sensitive information through supported file-sharing, managed transfer, and email channels. These capabilities can contribute to a broader CUI security and compliance program.
How Nightfall Differs
Kiteworks provides secure content communication and governance capabilities for file sharing, managed transfer, and email workflows. Nightfall provides AI-native data security for sensitive information moving through supported SaaS applications, endpoints, and AI agent workflows. Nightfall applies configurable detection and real-time enforcement policies across collaboration tools, development platforms, and agentic workflows.
Understanding NIST 800-171 Requirements and Modern DLP
NIST SP 800-171 establishes security requirements for protecting CUI in nonfederal systems and organizations. Although NIST published Revision 3 in 2024, Revision 2 continues to be referenced by applicable CMMC Level 2 and DoD contractual requirements. Revision 2 contains 110 requirements across 14 control families, including Access Control (AC), Audit and Accountability (AU), Media Protection (MP), and System and Communications Protection (SC). DLP solutions can contribute technical controls and supporting evidence, but organizations remain responsible for implementing and assessing all applicable requirements.
The shift to AI has changed both how data moves and who moves it:
- Employees paste customer information into ChatGPT
- Developers connect coding agents to repositories containing controlled technical information
- MCP servers expose enterprise databases to AI applications
- SaaS files containing CUI are shared, copied, and moved across cloud environments
Data loss prevention approaches include content inspection, classification, policy enforcement, and monitoring across endpoints, networks, cloud services, and applications. As organizations adopt additional AI workflows, data security strategies can incorporate contextual classification and real-time enforcement for supported AI-agent activities. These capabilities can contribute to selected NIST SP 800-171 safeguards in environments handling CUI.
Why Nightfall AI Is a Strong Choice for NIST 800-171 Data Security
An effective CUI security strategy includes understanding where sensitive information is stored, accessed, and transferred. Data Security Posture Management (DSPM), AI gateways, and DLP solutions provide different security functions within enterprise environments. Nightfall's unified AI data security platform focuses on detecting and controlling sensitive data movement across supported human and AI-agent workflows, including SaaS, email, browsers, endpoints, and MCP activity.
AI-Native Detection Reduces Policy Tuning
Nightfall's AI-native detection engine uses contextual classification to identify sensitive information across supported applications and workflows. Its configurable detection policies can help security teams prioritize relevant findings and manage data movement involving CUI.
Unified Platform Reduces Compliance Complexity
Organizations may use multiple security technologies to address endpoint DLP, SaaS security, insider risk, and AI governance. Nightfall brings these functions into a unified AI data security platform, using shared detection and policy capabilities across supported environments. This approach can simplify security administration, support consistent policy enforcement, and provide centralized audit trails for relevant data security events.
Real-Time Enforcement Matches Machine-Speed Data Movement
AI agents can initiate data transfers and tool actions with limited direct human involvement. Nightfall applies configured policies to supported data movement events, including blocking risky transfers, providing real-time coaching, and generating security alerts for investigation.
Purpose-Built for AI-Era Data Security
Nightfall was built from the ground up for AI-era data security. This includes native controls for MCP workflows, coding assistants, and autonomous agent activity across modern development and collaboration environments.
Frequently Asked Questions
What is NIST 800-171 compliance and why is it critical for 2026?
NIST SP 800-171 Rev. 2 contains 110 security requirements across 14 control families and remains the reference for applicable CMMC Level 2 requirements. As of October 2026, CMMC Phase 1 requirements remain active following the July 13, 2026 suspension of Phase 2 implementation. Contractors must continue meeting the cybersecurity requirements applicable to their contracts, including relevant NIST SP 800-171 Rev. 2 obligations.
How has AI changed DLP requirements for NIST 800-171 compliance?
AI agents, copilots, and MCP servers introduce additional ways for sensitive data, including CUI, to be accessed and transferred. These workflows can involve prompts, tool calls, connected applications, and automated actions. DLP platforms can support selected NIST SP 800-171 safeguards through sensitive-data detection, configurable policy enforcement, activity monitoring, and audit evidence.
What DLP capabilities support AI-era NIST 800-171 requirements?
Relevant capabilities include sensitive-data classification, contextual detection, endpoint and cloud monitoring, real-time policy enforcement, and audit logging. As organizations adopt AI agents and automated workflows, additional controls for AI interactions and MCP activity can contribute to their data security programs. Nightfall combines AI-native detection and policy enforcement across supported human and AI-agent workflows.
What key features should I look for in a NIST 800-171 DLP solution?
Relevant capabilities include sensitive-data detection, configurable policy enforcement, endpoint and SaaS protection, audit logging, and controls for AI-agent data movement. Organizations may also require encryption, access management, and other safeguards appropriate to their CUI environments. DLP functions should be considered alongside the technical and procedural requirements applicable to the organization's systems and contracts.
How does a unified platform simplify NIST 800-171 and CMMC compliance?
A unified platform can bring DLP, insider risk monitoring, and AI governance capabilities into a shared operating environment. This may help organizations coordinate security policies, centralize relevant audit information, and manage sensitive-data activity across supported workflows. However, NIST SP 800-171 compliance and CMMC assessment requirements still depend on the organization's complete implementation of applicable safeguards.
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