The Top 18 DLP Software for Enterprises

This guide explores the top 18 DLP tools for enterprises to help you decide which solution is right for your organization.

Before exploring more detailed descriptions of the top contenders, here’s a bird’s-eye view of each of these data loss prevention tools and how they compare:

Tool Name	Key Features	Best For
Teramind	• Real-time user activity monitoring • Insider threat detection • Data exfiltration prevention • Customizable policies	Companies prioritizing employee monitoring and insider threat prevention
Forcepoint DLP	• Cloud, email, and endpoint protection • Machine learning-based classification • Incident risk ranking • Centralized management	Large enterprises with diverse data protection needs
Palo Alto Networks Enterprise DLP	• Cloud-delivered solution • AI-powered data classification • Multi-channel protection • Integration with existing security stack	Organizations seeking a comprehensive, cloud-first DLP approach
Symantec Data Loss Prevention	• Unified cloud and on-premises DLP • Advanced machine learning • Incident response workflows • Compliance management	Enterprises with complex compliance requirements
Proofpoint Enterprise DLP	• Content, behavior, and threat analysis • Cloud-native architecture • Integration with email security • Adaptive controls	Companies focusing on email and cloud-based data protection
Digital Guardian DLP	• Endpoint, network, and cloud DLP • Data discovery and classification • User and entity behavior analytics • Flexible deployment options	Organizations requiring a versatile DLP solution
McAfee Total Protection for DLP	• Unified policy management• Device control • Cloud-based incident management • Integration with CASB (Cloud Access Security Broker)	Businesses using McAfee’s broader security ecosystem
Check Point DLP	• Pre-defined data types and policies • Multi-layered security • UserCheck for end-user education • Centralized management	Companies seeking integration with network security
Clearswift Adaptive DLP	• Adaptive redaction • Deep content inspection • Optical Character Recognition (OCR) • Flexible policy engine	Organizations requiring granular content control
Endpoint Protector	• Device control • Content-aware protection • eDiscovery • Cross-platform support	Businesses prioritizing endpoint data protection
GTB Technologies DLP	• Accurate data detection • Real-time policy enforcement • Data discovery and classification • Flexible deployment options	Enterprises requiring high-accuracy data detection
Spirion Sensitive Data Platform	• Automated data discovery • Persistent classification • Remediation workflows • Hybrid cloud support	Organizations with large volumes of unstructured data
Code42 Incydr	• Insider risk detection • File activity monitoring • Cloud risk detection • Automated response actions	Companies focused on insider threat protection
Netskope Cloud DLP	• Cloud-native architecture • Machine learning-based classification • Real-time policy enforcement • Integration with CASB	Businesses with cloud-first security strategies
Zscaler DLP	• Cloud-delivered solution • SSL inspection • Exact data match • Integration with secure web gateway	Organizations leveraging cloud security services
Fortra’s Digital Guardian	• Endpoint, network, and cloud DLP • Data visibility and control • Advanced analytics • Flexible deployment options	Enterprises requiring comprehensive data protection
Nightfall AI	• Cloud-native DLP • Machine learning-based detection • API-based integrations • Automated remediation	Companies using multiple SaaS applications
Trellix DLP	• Unified endpoint management • Behavioral analytics • Centralized incident management • Integration with EDR (Endpoint Detection and Response)	Organizations seeking integrated endpoint security

Here’s a more in-depth look at each tool to help you make an informed decision about which one best fits the needs of your enterprise:

1. Teramind

Teramind is a powerful data loss prevention solution that combines user activity monitoring with robust data protection features. Teramind offers real-time visibility into user behavior and employee actions, helping organizations prevent data breaches and insider threats before they occur.

Key Features:

• Real-time user activity monitoring: Tracks user actions across various applications and websites to identify a wide range of potential risks.
• Insider threat detection: Uses advanced analytics to spot suspicious behavior patterns and quickly alert security teams.
• Data exfiltration prevention: Blocks unauthorized exfiltration attempts to transfer sensitive data outside of the organization.
• Customizable policies: Allows fine-tuning of security rules to match specific business requirements and regulatory compliance needs.

What We Like:

• Comprehensive visibility: Teramind provides an unparalleled level of insight into user activities, making it easier to identify and mitigate risks.
• User-friendly interface: The intuitive dashboard and reporting features make it easy for security teams to understand and rapidly respond to potential threats.
• Flexible deployment options: Teramind can be deployed on-premises or in the cloud, giving organizations the flexibility to choose the best fit for their needs and infrastructure.

What We Don’t Like:

• Setup complexity: Initial configuration and policy setup can be time-consuming, especially for organizations that have complex security requirements.
• Potential for information overload: The wealth of data provided by Teramind can be overwhelming without proper filtering and prioritization.

Best For:

Teramind is ideal for organizations that prioritize employee monitoring and insider threat prevention — particularly those in highly regulated industries or with large remote work forces that require careful oversight of user activities and data handling practices.

2. Forcepoint DLP

Forcepoint DLP is a comprehensive enterprise tool designed to prevent data exfiltration across multiple channels. With its advanced machine learning capabilities, Forcepoint DLP offers robust protection measures for sensitive content in today’s complicated digital settings.

Key Features:

• Cloud, email, and endpoint protection: Provides unified data protection across various channels and platforms.
• Machine learning-based classification: Automatically identifies and classifies sensitive data to streamline policy enforcement.
• Incident risk ranking: Prioritizes alerts based on risk level to help security teams focus on the most critical issues.
• Centralized management: Offers a single console for policy creation, enforcement, and incident response across the entire organization.

What We Like:

• Comprehensive coverage: Forcepoint DLP’s multi-channel approach ensures that data is protected, regardless of where it resides or how it’s accessed.
• Advanced analytics: The machine learning-powered risk assessment helps organizations quickly identify and respond to the most pressing threats.
• Scalability: Forcepoint DLP can easily handle the needs of large enterprises with complex data protection requirements.

What We Don’t Like:

• Cost considerations: The comprehensive feature set may come with a higher price tag compared to some alternatives.
• Implementation complexity: Setting up and fine-tuning policies throughout multiple channels can be challenging for organizations that have limited resources.
• Update frequency: Some users report that it would be helpful if feature updates and improvements were more frequent to keep up with evolving threats.

Best For:

Forcepoint DLP is best suited for large enterprises with diverse data protection needs, particularly those requiring advanced analytics and centralized management capabilities.

3. Palo Alto Networks Enterprise DLP

Palo Alto Networks Enterprise DLP is a cloud-delivered data loss prevention solution that leverages AI-powered cyberthreat protection and machine learning to provide comprehensive data protection across networks, clouds, and users. This innovative approach to DLP offers a scalable tool for safeguarding sensitive information.

Key Features:

• Cloud-delivered solution: Enables rapid deployment and easy scalability without the need for on-premises hardware.
• AI-powered data classification: Automatically identifies and categorizes sensitive data by using advanced machine learning algorithms.
• Multi-channel protection: Protects data across networks, cloud-based services, and user endpoints for comprehensive coverage.
• Integration with existing security stack: Seamlessly works with other Palo Alto Networks security products for enhanced protection.

What We Like:

• Cloud-native architecture: The cloud-based approach allows for quick deployment and easy updates without the need for extensive on-premises infrastructure.
• Advanced AI capabilities: The use of machine learning for data classification and policy enforcement helps reduce false positives and improves overall accuracy.
• Unified security approach: Integration with other Palo Alto Networks products provides a cohesive security system for organizations already using their products.

What We Don’t Like:

• Vendor lock-in concerns: The tight integration with other Palo Alto Networks products may make it challenging to switch to alternative options in the future.
• Learning curve: Organizations new to cloud-based security platforms may face a steeper learning curve when implementing and managing this tool.
• Customization limitations: Some users report that customization options for specific use cases could be more extensive.

Best For:

Palo Alto Networks Enterprise DLP is ideal for organizations seeking a comprehensive, cloud-first DLP approach, particularly those already invested in the Palo Alto Networks ecosystem or looking to modernize their data protection strategy.

4. Symantec Data Loss Prevention

Symantec DLP, now part of Broadcom, is a well-established solution that offers unified protection for both cloud and on-premises environments. With its advanced machine learning capabilities and extensive compliance management features, Symantec DLP is a popular choice for enterprises with complex data protection requirements.

Key Features:

• Unified cloud and on-premises DLP: Provides consistent data protection throughout diverse IT environments.
• Advanced machine learning: Improves accuracy in data classification, and reduces false positives.
• Incident response workflows: Streamlines the process of investigating and remediating data security incidents.
• Compliance management: Offers pre-built policies and reporting mechanisms for various regulatory requirements.

What We Like:

• Comprehensive coverage: Symantec DLP’s ability to protect data across cloud and on-premises environments provides flexibility for organizations with hybrid infrastructures.
• Strong compliance focus: The pre-built policies and reporting features make it easier for organizations to meet regulatory requirements.
• Proven history: As one of the longest-standing DLP products on the market, Symantec DLP offers a wealth of capabilities and advanced security tools.

What We Don’t Like:

• Complexities in operation and user interface: Some users report that the interface can be overwhelming and difficult to navigate, especially for newcomers.
• Resource requirements: The platform may require significant hardware resources to run effectively, particularly in large-scale deployments.
• Licensing model: The licensing structure can be complex, potentially leading to unexpected costs for some organizations.

Best For:

Symantec Data Loss Prevention is best suited for large enterprises with complex compliance requirements and diverse IT environments, particularly those needing mature, feature-rich DLP functions with strong support for both cloud and on-premises deployments.

5. Proofpoint Enterprise DLP

Proofpoint DLP is a cloud-native solution that combines content, behavior, and threat analysis to provide data protection. With its focus on cloud-based and email-borne cyber threats, Proofpoint offers a modern approach to DLP that adapts to evolving security challenges.

Key Features:

• Content, behavior, and threat analysis: Combines multiple analysis techniques to identify and prevent data loss.
• Cloud-native architecture: Offers scalability and flexibility without the need for on-premises hardware.
• Integration with email security: Provides seamless protection for email communication, one of the most common data loss vectors.
• Adaptive protection controls: Adjusts security measures based on user behavior and risk profiles.

What We Like:

• Email-centric approach: Proofpoint’s strong focus on email security makes it an excellent choice for organizations prioritizing this critical communication method.
• Behavior-based analysis: The inclusion of user behavior analytics helps identify potential insider threats and anomalous activities.
• Cloud scalability: The cloud-native architecture allows for easy scaling and adaptation to changing business needs.

What We Don’t Like:

• Limited on-premises options: Organizations with strict data residency requirements may find the cloud-only approach challenging.
• Feature overlap: Some features may overlap with other Proofpoint products, potentially leading to redundancy for existing customers.
• Reporting complexity: Some users report that generating custom reports can be complicated and time-consuming.

Best For:

Proofpoint Enterprise DLP is ideal for companies focusing on email security solutions and cloud-based data protection, particularly those already using other Proofpoint products or looking for cloud-native DLP with strong behavioral analytics capabilities.

6. Digital Guardian DLP

Digital Guardian DLP offers a comprehensive approach to data protection, covering endpoints, networks, and cloud environments. With its flexible deployment options and advanced analytics, Digital Guardian provides a versatile tool for organizations of various sizes and industries.

Key Features:

• Endpoint, network, and cloud DLP: Provides unified protection and wide coverage across multiple data channels and environments.
• Data discovery and classification: Automatically identifies and categorizes sensitive information for improved policy enforcement.
• User and entity behavior analytics: Leverages advanced analytics to detect suspicious activity and potential insider threats.
• Flexible deployment options: Offers on-premises, cloud, and managed service deployment models to suit different organizational needs.

What We Like:

• Comprehensive coverage: Digital Guardian’s ability to protect data across endpoints, networks, and cloud environments provides a holistic approach to DLP.
• Strong analytics capabilities: The inclusion of user and entity behavior analytics helps organizations identify complex threat vectors and risky behaviors.
• Deployment flexibility: The variety of deployment options allows organizations to choose the best fit for their infrastructure and resources.

What We Don’t Like:

• Management complexity: Some users report that managing policies and fine-tuning the system can be complex, especially in large-scale deployments.
• Agent performance: In some cases, the endpoint agent may impact system performance, particularly on older hardware.
• Pricing structure: The pricing model can be complicated, and costs may escalate quickly for organizations that require advanced features.

Best For:

Digital Guardian DLP is well-suited for organizations requiring a versatile DLP option that can adapt to various deployment scenarios and provide comprehensive protection across multiple data channels — particularly those valuing advanced analytics and behavioral monitoring.

7. McAfee Total Protection for DLP

McAfee Total Protection for DLP, now part of Trellix, offers comprehensive data protection that integrates seamlessly with McAfee’s broader security coverage. This tool provides unified policy management and device control, making it an attractive option for organizations already invested in McAfee products.

Key Features:

• Unified policy management: Allows for consistent policy creation and enforcement across multiple channels.
• Device control: Provides granular control over removable media and other devices to prevent data leakage.
• Cloud-based incident management: Offers centralized visibility and response capabilities for DLP incidents.
• Integration with CASB: Seamlessly works with McAfee’s Cloud Access Security Broker for enhanced cloud data loss prevention and protection.

What We Like:

• Ecosystem integration: The tight integration with other McAfee/Trellix products provides a cohesive security approach for existing customers.
• Comprehensive device control: The granular control over removable media and devices helps prevent common data loss vectors.
• Cloud-based management: The cloud-based incident management feature allows for easy access and quick response to potential threats.

What We Don’t Like:

• Vendor lock-in: The deep integration with McAfee’s ecosystem may make it challenging to switch to alternative options in the future.
• Complexity in setup: Initial configuration and policy creation can be time-consuming, especially for organizations with diverse data protection needs.
• Update frequency: Some users report that feature updates and improvements could be more frequent to keep pace with evolving threats.

Best For:

McAfee Total Protection for DLP is best suited for businesses already using McAfee’s broader security ecosystem, particularly those looking for a unified approach to data protection that integrates seamlessly with their existing security frameworks.

8. Check Point DLP

Check Point DLP is a robust data protection tool that integrates seamlessly with Check Point’s broader security offerings. It provides multi-layered security functions and pre-defined data types and policies, making it an attractive option for organizations looking to streamline their DLP implementation.

Key Features:

• Pre-defined data types and policies: Offers out-of-the-box protection for common sensitive data types as well as compliance activities and requirements.
• Multi-layered security: Integrates with other Check Point security products for comprehensive protection.
• UserCheck for end-user education: Provides interactive alerts to educate users about potential data loss incidents.
• Centralized management: Offers a unified console for policy management and incident response across the organization.

What We Like:

• Easy implementation: The pre-defined data types and policies allow for quick deployment and immediate protection.
• User education: The UserCheck feature helps raise awareness and reduce unintentional data loss incidents.
• Integration capabilities: Seamless integration with other Check Point products enables cohesive security practices.

What We Don’t Like:

• Limited customization: Some organizations may find the pre-defined security policies too rigid for their specific needs.
• Dependency on Check Point infrastructure: Check Point DPL may require additional Check Point products for optimal performance.
• Reporting limitations: Some users report that generating custom reports can be challenging and time-consuming.

Best For:

Check Point DLP is ideal for companies seeking integration with network security, particularly those already using Check Point’s security products or looking for a DLP tool with strong out-of-the-box policies and user education features.

9. Clearswift Adaptive DLP

Clearswift Adaptive DLP offers a unique approach to data protection with its adaptive redaction capabilities and deep content inspection. This tool provides detailed content control and flexible policy options, making it suitable for organizations with specific data protection requirements.

Key Features:

• Adaptive data security and redaction: Automatically removes or modifies sensitive information in real-time to prevent data loss.
• Deep content inspection: Analyzes file contents — including within compressed files and images — for thorough protection.
• Optical Character Recognition (OCR): Identifies and protects sensitive information within images and scanned documents.
• Flexible policy engine: Allows for the creation of highly customized data protection rules to meet specific business needs.

What We Like:

• Granular content control: The adaptive redaction feature provides a unique way to protect sensitive data without completely blocking communications.
• Advanced inspection capabilities: Deep content inspection and OCR technology offer comprehensive protection for various data formats.
• Customization options: The flexible policy engine allows organizations to tailor protection to their specific requirements.

What We Don’t Like:

• Learning curve: The advanced features and customization options may require a great deal of time and expertise to fully utilize.
• Performance impact: Deep content inspection and OCR may impact system performance, especially in high-volume environments.
• Integration limitations: Some users report challenges when integrating Clearswift DLP with certain third-party security tools.

Best For:

Clearswift Adaptive DLP is ideal for organizations requiring detailed content control and highly customizable data protection policies, particularly those dealing with complex document formats or needing to balance security with business communication needs.

10. Endpoint Protector

Endpoint Protector by CoSoSys is a comprehensive DLP solution focused on protecting data at the endpoint level. With its strong emphasis on device control and content-aware protection, this tool is particularly well-suited for organizations prioritizing endpoint security.

Key Features:

• Device control: Provides detailed control over USB drives and peripheral device usage to prevent unauthorized data transfers.
• Content-aware protection: Scans and blocks sensitive data transfers based on predefined or custom policies.
• eDiscovery: Helps organizations identify and secure sensitive data stored on endpoints.
• Cross-platform support: Offers protection for Windows, macOS, and Linux endpoints.

What We Like:

• Strong device control: The granular USB and peripheral device management helps prevent common data loss vectors.
• Cross-platform compatibility: Support for multiple operating systems ensures consistent protection across diverse endpoint environments.
• User-friendly interface: The intuitive console makes it easy for administrators to manage policies and respond to incidents.

What We Don’t Like:

• Limited network DLP capabilities: The focus on endpoint protection may require additional tools for total network coverage.
• Potential for false positives: Some users report occasional false positives, particularly when using more aggressive content-aware policies.
• Mobile device limitations: While strong in traditional data protection and endpoint protection, coverage for mobile devices may be less comprehensive.

Best For:

Endpoint Protector is best suited for businesses prioritizing endpoint data protection, particularly those with diverse operating system environments or requiring strong device control and content-aware protection at the endpoint level.

11. GTB Technologies DLP

GTB Technologies DLP offers high-accuracy data detection with real-time policy enforcement capabilities. Known for its precise data fingerprinting and flexible deployment options, GTB Technologies provides a robust DLP solution for organizations requiring advanced data protection.

Key Features:

• Accurate data detection: Uses proprietary algorithms for precise identification of sensitive data, including partial and exact matches.
• Real-time policy enforcement: Applies protection policies instantly to prevent data loss as it occurs.
• Data discovery and classification: Automatically identifies and categorizes sensitive information across various data repositories.
• Flexible deployment options: Offers on-premises, cloud, and hybrid deployment models to suit different organizational needs.

What We Like:

• High accuracy: GTB’s advanced data detection algorithms help reduce false positives and ensure comprehensive protection.
• Versatile deployment: The flexibility in deployment options allows organizations to choose the best fit for their infrastructure.
• Extensive coverage: Protects data across various channels, including email, web, cloud, and endpoints.

What We Don’t Like:

• Complexity: The advanced features and customization options may require significant expertise to fully utilize.
• Resource intensity: The high-accuracy detection algorithms may necessitate substantial computing resources in large-scale deployments.
• Limited integrations: Some users report challenges when integrating GTB DLP with certain third-party security tools.

Best For:

GTB Technologies DLP is ideal for enterprises requiring highly accurate detection of data and real-time policy enforcement, particularly those with complex data protection needs or operating in highly regulated industries that demand precise control over sensitive information.

12. Spirion Sensitive Data Platform

Spirion Sensitive Data Platform offers a data-centric approach to DLP, focusing on automated data discovery, persistent classification, and remediation workflows. This platform is particularly strong in handling large volumes of unstructured data across various repositories.

Key Features:

• Automated data discovery: Continuously scans and identifies sensitive data across multiple data sources.
• Persistent classification: Applies and maintains data classifications to ensure consistent protection over time.
• Remediation workflows: Provides automated and manual options for addressing identified data risks.
• Hybrid cloud support: Offers protection for both on-premises and cloud-based data repositories.

What We Like:

• Strong data discovery capabilities: Spirion’s ability to find and classify sensitive data across various sources is particularly impressive.
• Persistent protection: The continuous classification and monitoring help ensure ongoing data protection as information moves and changes.
• Flexible remediation options: The combination of automated and manual remediation workflows provides adaptability to different organizational needs.

What We Don’t Like:

• Initial setup complexity: Configuring the system for optimal performance across diverse data sources can be time-consuming.
• Performance considerations: Scanning large volumes of data may impact system performance, particularly in the initial discovery phase.
• Licensing model: Some users report that the licensing structure can be complex and potentially expensive for large-scale deployments.

Best For:

Spirion Sensitive Data Platform is ideal for organizations with large volumes of unstructured data, particularly those requiring strong data discovery and classification capabilities across diverse repositories, including both on-premises and cloud environments.

13. Code42 Incydr

Code42 Incydr takes a unique approach to DLP by focusing specifically on insider risk detection and file activity monitoring. This data protection service is designed to provide visibility into data movement and user behavior, helping organizations safeguard against malicious and unintentional insider threats.

Key Features:

• Insider risk detection: Uses behavioral analysis to identify potential insider threats and risky user activities.
• File activity monitoring: Tracks file movements and changes across endpoints and cloud services.
• Cloud risk detection: Identifies risky data exposure in cloud collaboration tools and cloud storage services.
• Automated response actions: Provides configurable automated actions to address detected risks quickly.

What We Like:

• Focus on insider threats: The specialized approach to risk from insider threats provides deep insights into this often-overlooked area of data protection.
• User behavior analytics: Advanced analytics help identify unusual behavior patterns that may indicate potential data loss and organizational risks.
• Cloud integration: Strong support for cloud services helps protect data in modern, collaborative work environments.

What We Don’t Like:

• Limited traditional DLP features: The focus on insider risks may require additional tools for complete DLP coverage.
• Learning curve: Understanding and interpreting the behavioral analytics may require time and expertise to fully utilize.
• Potential for alert fatigue: The detailed monitoring may generate a high volume of alerts, requiring careful tuning and prioritization.

Best For:

Code42 Incydr is best suited for companies focused on insider threat protection — particularly those with significant cloud adoption and collaborative work environments — or organizations looking to complement traditional DLP solutions with advanced user behavior analytics and file activity monitoring.

14. Netskope Cloud DLP

Netskope Cloud DLP is a cloud-native solution designed to protect sensitive data across cloud services and web application usage. With its focus on cloud security and integration with Netskope’s CASB offerings, this tool is particularly well-suited for organizations with cloud-first security strategies.

Key Features:

• Cloud-native architecture: Designed specifically for protecting data in cloud environments and SaaS applications.
• Machine learning-based classification: Automatically identifies and categorizes sensitive data by using advanced algorithms.
• Real-time policy enforcement: Applies protection policies instantly to prevent data loss as it occurs.
• Integration with CASB: Seamlessly works with Netskope’s Cloud Access Security Broker for enhanced cloud security.

What We Like:

• Strong cloud focus: The cloud-native approach provides comprehensive protection for organizations that rely heavily on cloud services.
• Advanced data classification: Machine learning capabilities help improve accuracy and reduce false positives in data identification.
• Seamless CASB integration: The tight integration with Netskope’s CASB provides a cohesive cloud security solution.

What We Don’t Like:

• Limited on-premises coverage: Organizations with significant on-premises infrastructure may need additional tools to achieve comprehensive protection.
• Vendor lock-in concerns: The tight integration with Netskope’s ecosystem may make it challenging to switch to alternative options in the future.
• Learning curve: Fully utilizing the advanced features and cloud-specific capabilities may require significant training and expertise.

Best For:

Netskope Cloud DLP is ideal for businesses with cloud-first security strategies, particularly those already using or considering Netskope’s CASB solution, and organizations looking for advanced, cloud-native data protection across various SaaS operations and cloud services.

15. Zscaler DLP

Zscaler DLP is a cloud-delivered tool that integrates seamlessly with Zscaler’s broader security-as-a-service platform. It offers real-time data protection across web and cloud services, making it an attractive option for organizations looking to secure their data in transit.

Key Features:

• Cloud-delivered solution: Provides scalable, always-on protection without the need for on-premises hardware.
• SSL inspection: Analyzes encrypted traffic to identify and protect sensitive data.
• Exact data match: Offers precise identification of specific data patterns or values.
• Integration with secure web gateway: Works in conjunction with Zscaler’s web security offerings for comprehensive protection.

What We Like:

• Cloud-native architecture: The cloud-delivered approach allows for easy scalability and eliminates the need for on-premises hardware.
• SSL inspection capabilities: The ability to analyze encrypted internet traffic provides more complete data protection.
• Seamless integration: Works well with other Zscaler security products, providing a unified approach to web and data security.

What We Don’t Like:

• Limited stand-alone functionality: Organizations not using other Zscaler products may not realize its full potential.
• On-premises limitations: The cloud-focused approach may not be ideal for organizations with strict data residency requirements.
• Customization complexity: Some users report that creating highly customized policies can be challenging and time-consuming.

Best For:

Zscaler DLP is best suited for organizations leveraging cloud security services, particularly those already using or considering Zscaler’s secure web gateway and other cloud security offerings, and businesses looking for a cloud-native approach that protects data in transit across web and cloud services.

16. Fortra’s Digital Guardian

Fortra’s Digital Guardian DLP functions cover endpoints, networks, and cloud environments. With its focus on data visibility and control, this tool provides flexible deployment options and advanced analytics capabilities.

Key Features:

• Endpoint, network, and cloud DLP: Provides unified protection across multiple data channels and environments.
• Data visibility and control: Offers deep insights into data movement and usage patterns.
• Advanced analytics: Leverages machine learning and behavioral analysis to identify potential threats.
• Flexible deployment options: Supports on-premises, cloud, and managed service models.

What We Like:

• Comprehensive coverage: The ability to protect data across endpoints, networks, and cloud environments provides a holistic approach to DLP.
• Strong analytics capabilities: Advanced machine learning and behavioral analysis help identify a complex range of threats and risky behaviors.
• Deployment flexibility: The variety of deployment options allows organizations to choose the best fit for their infrastructure and resources.

What We Don’t Like:

• Complexity: The extensive feature set may require substantial expertise to fully utilize and manage effectively.
• Resource intensive: Some users report that this tool can be resource-intensive, particularly in large-scale deployments.
• Cost considerations: The comprehensive feature set may come with a higher price tag compared to some alternatives.

Best For:

Fortra’s Digital Guardian is well-suited for enterprises requiring extensive data protection across diverse environments — particularly those valuing advanced analytics and flexible deployment options — and organizations looking for a mature, feature-rich DLP tool with strong support for both traditional and cloud-based infrastructures.

17. Nightfall AI

Nightfall AI is a cloud-native DLP solution that leverages machine learning to detect and protect sensitive data across various SaaS applications and cloud services. With its API-based approach and automation focus, Nightfall AI offers a modern approach for organizations heavily invested in cloud technologies.

Key Features:

• Cloud-native DLP: Designed specifically for protecting data in SaaS applications and cloud environments.
• Machine learning-based detection: Uses advanced algorithms to accurately identify and classify sensitive information.
• API-based integrations: Seamlessly connects with various cloud services and applications.
• Automated remediation: Offers configurable actions to address detected data risks automatically.

What We Like:

• Strong SaaS focus: The specialized approach to cloud data loss prevention and SaaS protection makes Nightfall AI well-suited for modern, cloud-first organizations.
• Advanced machine learning: The use of AI for data detection and classification helps improve accuracy and reduce false positives.
• Easy integrations: The API-based approach allows for quick deployment and integration with various cloud services.

What We Don’t Like:

• Limited on-premises coverage: Organizations with significant on-premises infrastructure may need additional tools for comprehensive protection.
• Customization complexity: Creating highly specific detection policies may require expertise in machine learning concepts.
• Potential for alert overload: The detailed monitoring of cloud services may generate a high volume of alerts, requiring careful tuning and prioritization.

Best For:

Nightfall AI is ideal for companies using multiple SaaS applications and cloud services — particularly those looking for a modern, AI-driven approach to data protection in cloud environments — and organizations prioritizing automation and easy integration with their existing cloud infrastructures.

18. Trellix DLP

Trellix DLP, formerly McAfee DLP, offers comprehensive data protection that integrates with Trellix’s broader security ecosystem. This tool provides unified endpoint management, behavioral analytics, and centralized incident management, making it an attractive option for organizations seeking an integrated approach to their security posture.

Key Features:

• Unified endpoint management: Provides full-suite protection for various endpoint devices.
• Behavioral analytics: Uses advanced analytics to identify potential insider threats and irregular user behavior.
• Centralized incident management: Offers a single console for managing DLP incidents across organizations.
• Integration with EDR: Seamlessly works with Trellix’s Endpoint Detection and Response solution for enhanced protection.

What We Like:

• Comprehensive endpoint protection: The unified approach to endpoint management provides robust security features for diverse device environments.
• Advanced analytics: Behavioral analysis capabilities help identify complex threats and risky user activities.
• Ecosystem integration: Seamless integration with other Trellix products offers a cohesive security approach for existing customers.

What We Don’t Like:

• Vendor lock-in concerns: The tight integration with Trellix’s ecosystem may make it challenging to switch to alternative options in the future.
• Complexity: The extensive feature set may require significant expertise to fully utilize and manage effectively.
• Update frequency: Some users report that it would be helpful if feature updates and improvements occurred more frequently to keep pace with evolving threats.