Best Data Loss Prevention (DLP) Software in 2025: Comparison & Reviews

Data Loss Prevention (DLP) tools are essential for organizations that want to protect sensitive data, reduce insider risk, and stay compliant with regulations like GDPR, HIPAA, and SOC 2. Whether you run a small business or a large enterprise, choosing the right DLP solution helps you secure endpoints, email, web traffic, and cloud applications.

Looking for the best DLP software in 2025? Whether you need compliance (GDPR, HIPAA, SOC 2), insider threat monitoring, or cloud-native data protection — Kickidler is the most affordable solution for SMBs.

Try Kickidler DLP — insider threat monitoring + productivity analytics in one tool.

What is Data Loss Prevention (DLP)?

Data Loss Prevention (DLP) is a set of technologies that monitor, detect, and prevent sensitive data from leaving your organization. Modern DLP solutions combine endpoint, network, and cloud-native controls to protect against both external attackers and insider threats.

Common use-cases of DLP:

• Compliance – enforce GDPR, HIPAA, SOC 2 requirements.
• Insider threat monitoring – detect risky employee activity.
• Cloud security – protect SaaS apps (Microsoft 365, Google Drive, Slack).
• USB & device control – block unauthorized data transfers.
• Data classification & reporting – identify and classify sensitive information.

Gartner predicts that by 2027, 70% of CISOs in larger enterprises will adopt a consolidated approach to address both insider risk and data exfiltration use cases. According to WifiTalents reports 2025, organizations using some form of DLP, and deployment of DLP solutions often achieves a measurable decrease in accidental data leaks.

How to Choose the Right DLP Tool

When selecting a DLP platform, consider the following criteria:

• Deployment model: Cloud-native, On-Premises, or Hybrid.
• AI classification & automation: Detect sensitive data with machine learning and data lineage tracking.
• Integration: Support for endpoint, email, SaaS, and web traffic control.
• Pricing & scalability: Affordable for SMBs vs full enterprise-grade platforms.
• Ease of use: Simple setup for small businesses vs advanced policy management for large corporations.

Top 30 Data Loss Prevention (DLP) Tools in 2025

Comparison Table of Top 30 DLP Tools

Below is a list of the 30 leading DLP solutions, each with key strengths and weaknesses.

1) Kickidler

Kickidler is a data loss prevention and insider threat monitoring solution built for small and medium-sized businesses and remote-first teams. Unlike traditional enterprise-heavy tools, it focuses on endpoint visibility and user activity analytics. Kickidler combines screen recording, keystroke logging, and productivity monitoring to uncover risky insider behavior and prevent accidental or intentional data leaks. With on-premise and cloud deployment options, Kickidler is easy to implement and cost-efficient, making it attractive for SMBs that need to balance data protection with affordability. Its features also support GDPR and HIPAA compliance, while providing value beyond security by improving workforce efficiency.

Pros: Affordable, fast deployment, strong insider risk detection, productivity insights.

Cons: Limited enterprise integrations, weaker SaaS/cloud-native coverage.

2) Proofpoint Enterprise DLP

Proofpoint delivers one of the most recognized enterprise-grade DLP platforms, designed to protect email, web traffic, and cloud-native applications. It integrates AI classification with advanced threat intelligence to detect sensitive data movement and insider risks in real time. The solution is particularly strong in email DLP, providing granular policies and automated workflows that help enterprises comply with GDPR, HIPAA, and SOC 2. With its broad set of integrations, Proofpoint is ideal for organizations that rely heavily on email and SaaS ecosystems, but it comes with a higher price tag and requires skilled administration.

Pros: Market leader in email DLP, wide compliance coverage, strong SaaS integrations.

Cons: Expensive, steep learning curve, resource-intensive deployment.

3) Symantec DLP (Broadcom)

Symantec DLP, now under Broadcom, remains one of the most comprehensive enterprise DLP solutions, covering endpoint, network, storage, and cloud environments. It supports data lineage tracking, deep content inspection, and customizable policy management. This makes it a preferred choice for large enterprises and regulated sectors such as finance and healthcare, where GDPR, HIPAA, and SOC 2 compliance are mandatory. Its hybrid deployment options scale to global organizations, but implementation can be complex and resource-heavy, requiring specialized teams to manage and maintain.

Pros: Complete enterprise coverage, strong compliance features, scalable deployment.

Cons: High cost, complex administration, requires dedicated experts.

4) Forcepoint DLP

Forcepoint emphasizes insider risk management through UEBA (User and Entity Behavior Analytics) and adaptive policy enforcement. It provides data protection across endpoint devices, email channels, and web traffic, making it a versatile choice for organizations facing insider threats. Forcepoint’s approach focuses on analyzing intent, reducing false positives compared to purely content-based systems. Widely used in government and defense, it enables compliance with GDPR, HIPAA, and SOC 2 while maintaining user productivity. However, fine-tuning is essential to reduce noise and ensure accuracy.

Pros: Strong insider risk detection, adaptive behavior-driven policies, compliance support.

Cons: Can generate false positives, requires ongoing fine-tuning.

5) Trellix DLP (formerly McAfee)

Trellix (ex-McAfee) DLP integrates tightly with its XDR ecosystem, offering protection across endpoint, network, and cloud traffic control. Designed for large-scale enterprises, it provides automated workflows and advanced policy enforcement that align with modern compliance standards such as GDPR and HIPAA. Trellix DLP is known for scalability and comprehensive integration into security operations centers (SOC), enabling holistic visibility. However, its UI is complex, and organizations must invest in skilled administrators to handle its deployment and tuning.

Pros: Strong integration with XDR, enterprise scalability, compliance-ready.

Cons: Complex interface, resource-intensive, requires skilled staff.

6) Nightfall AI

Nightfall AI is a cloud-native DLP platform purpose-built for SaaS-first environments. It integrates via APIs into Slack, GitHub, Google Drive, and Microsoft 365, offering real-time AI classification of sensitive data like PII, PHI, and financial information. Its strength lies in low false positives, rapid deployment without agents, and comprehensive support for cloud compliance frameworks including GDPR and SOC 2. Nightfall is especially attractive to startups and mid-sized firms adopting cloud-first strategies, but lacks network-level DLP and deeper endpoint controls.

Pros: Fast API-based deployment, advanced AI detection, SaaS-first design.

Cons: Limited to SaaS/cloud, no traditional network DLP.

7) Microsoft Purview DLP

Microsoft Purview is the native cloud-native DLP solution for the Microsoft ecosystem. It integrates with Microsoft 365 apps, Teams, and SharePoint, providing automated data classification, labeling, and compliance enforcement. For organizations already embedded in the Microsoft stack, Purview offers seamless adoption and templates for GDPR, HIPAA, and SOC 2 compliance. However, it provides limited functionality outside Microsoft environments, which may be restrictive for hybrid or multi-cloud companies.

Pros: Seamless M365 integration, automated compliance, user-friendly templates.

Cons: Narrow focus on Microsoft ecosystem, limited multi-cloud support.

8) Google Cloud DLP

Google Cloud DLP focuses on AI/ML-driven classification and de-identification of sensitive data within GCP and Google Workspace. It provides powerful cloud-native APIs for developers and enterprises to discover and protect structured and unstructured data. Ideal for organizations heavily invested in Google Cloud, it supports compliance with GDPR, HIPAA, and SOC 2, but lacks broader multi-cloud support.

Pros: Strong AI classification, easy integration with GCP/Workspace.

Cons: Limited scope beyond Google ecosystem.

9) Netskope DLP

Netskope integrates CASB, SWG, and DLP into a single SASE platform, offering granular web and SaaS traffic control. It provides inline scanning, AI-powered detection, and policy-based enforcement, making it a top choice for cloud-first organizations. Netskope DLP is strong in cloud compliance and SaaS visibility but is known for high costs and deployment complexity.

Pros: Excellent SaaS/web visibility, cloud-native, compliance-friendly.

Cons: Expensive, complex to implement at scale.

10) Digital Guardian (Fortra)

Digital Guardian delivers strong protection for endpoint and network data, focusing on data lineage tracking and intellectual property defense. It supports hybrid deployments and regulatory frameworks like GDPR, HIPAA, SOC 2, making it popular among manufacturing and healthcare enterprises. Its detailed reporting and forensics help investigate insider risks, but the system is heavy and requires dedicated resources.

Pros: Strong hybrid deployment, deep forensics, compliance coverage.

Cons: Outdated UI, steep learning curve, resource-heavy.

11) Palo Alto Networks DLP

Palo Alto Networks integrates DLP into its Prisma Access and NGFW ecosystem, delivering inline traffic inspection across cloud, network, and endpoint. It helps enterprises secure data in motion, enforce policies across SaaS and web traffic, and meet compliance requirements such as GDPR and HIPAA. Its strength lies in synergy with Palo Alto’s Zero Trust architecture, making it attractive for organizations already invested in PANW firewalls and Prisma Cloud. However, its cost and complexity make it less suitable for SMBs.

Pros: Seamless PANW integration, cloud-edge visibility, compliance-ready.

Cons: Expensive, requires advanced expertise to deploy and maintain.

12) Code42 Incydr

Code42 Incydr is purpose-built for insider risk management, focusing on tracking data exfiltration and risky file sharing across endpoints and cloud apps. Instead of relying heavily on content inspection, it provides data lineage analysis and user activity visibility. This makes it particularly effective for detecting intentional insider leaks, shadow IT, or careless employees violating data security rules. It integrates with SIEM tools and supports compliance reporting. However, its limited AI classification and lack of advanced SaaS control make it less comprehensive than full-suite DLP tools.

Pros: Excellent insider threat detection, simple deployment, clear forensics.

Cons: Limited classification, weaker SaaS/cloud-native features.

13) Endpoint Protector (CoSoSys)

Endpoint Protector specializes in device-level DLP, offering strong control over USB ports, external storage, and printers. It works across Windows, macOS, and Linux, making it ideal for diverse IT environments. With both cloud and on-premise deployment, it enables SMBs and enterprises to prevent accidental data leaks while supporting regulatory compliance like GDPR and HIPAA. Its strength is endpoint visibility, but it lacks advanced cloud-native DLP and may require effort to fine-tune policies for enterprise-level use cases.

Pros: Strong device and endpoint control, cross-platform support.

Cons: Limited SaaS/cloud features, initial setup complexity.

14) Safetica

Safetica is a cost-effective DLP and insider risk management tool for SMBs. It provides endpoint monitoring, employee activity analysis, and data classification to prevent leaks caused by insider threats or negligence. Safetica is known for quick deployment and user-friendly dashboards, making it accessible even for organizations without a large IT team. It also supports compliance frameworks like GDPR and HIPAA, though its scalability and advanced cloud-native integrations are limited compared to enterprise vendors.

Pros: Affordable, easy to use, insider risk visibility.

Cons: Limited enterprise scalability, weaker SaaS integrations.

15) GTB Technologies DLP

GTB Technologies focuses on policy-driven DLP with ready-made compliance templates and deep integration with SIEM platforms. It provides endpoint, network, and cloud controls, making it suitable for regulated industries like banking and healthcare. GTB stands out with real-time content-aware inspection and hybrid deployment options. However, as a smaller vendor, it has less market recognition and fewer customer case studies compared to global leaders.

Pros: Strong compliance templates, flexible hybrid deployment.

Cons: Limited brand recognition, fewer enterprise references.

16) Zscaler DLP

Zscaler embeds DLP into its Zero Trust Exchange platform, enabling inline scanning of SaaS, web, and email traffic. It is designed for cloud-native deployments, making it ideal for enterprises with distributed teams and SaaS-heavy environments. With AI-driven classification, Zscaler ensures sensitive data is not exfiltrated through unauthorized apps or channels. However, its focus on cloud means less depth in traditional endpoint DLP.

Pros: Cloud-native, Zero Trust approach, strong SaaS/web control.

Cons: Limited endpoint visibility, costly at scale.

17) Acronis DeviceLock DLP

Acronis DeviceLock is designed for endpoint and USB device control, providing granular monitoring of data transfers, printers, and offline scenarios. It is lightweight, effective, and especially useful for organizations with strict control requirements on removable media. While it helps achieve GDPR/HIPAA compliance, it lacks advanced cloud-native DLP and SaaS integrations, which may limit adoption in modern hybrid environments.

Pros: Strong device-level security, affordable, easy to deploy.

Cons: Weak SaaS/cloud coverage, limited advanced features.

18) Check Point DLP

Check Point provides DLP as part of its email and gateway security stack. It monitors outbound email and content shared through web traffic, reducing accidental leaks and phishing risks. Best suited for organizations seeking email-centric compliance enforcement (GDPR, HIPAA). However, it does not deliver broad endpoint or SaaS coverage, making it complementary rather than a full DLP suite.

Pros: Strong email security, easy integration.

Cons: Focused only on email/gateway, lacks endpoint visibility.

19) Cyberhaven DLP

Cyberhaven redefines DLP with data lineage technology, tracking how sensitive information moves across endpoints, SaaS apps, and cloud storage. Instead of just blocking, it provides deep visibility into risky flows, helping prevent insider threats and shadow IT. With real-time insider risk management, Cyberhaven supports compliance while giving SOC teams advanced analytics. Being a newer solution, its ecosystem is smaller compared to incumbents.

Pros: Unique data lineage approach, insider threat visibility.

Cons: Newer vendor, smaller ecosystem, less proven scalability.

20) OpenDLP (Open Source)

OpenDLP is an open-source, on-premise DLP tool designed for scanning databases and file systems to detect sensitive data. It provides flexibility for organizations with limited budgets or those looking to customize their DLP. While it supports basic compliance reporting, it lacks cloud-native integrations, AI classification, and advanced insider risk features, making it less practical for modern enterprises.

Pros: Free, customizable, good for testing environments.

Cons: Outdated, lacks support, no SaaS/cloud capabilities.

21) MyDLP (Open Source)

MyDLP is a legacy open-source data loss prevention tool that provides basic monitoring across email, web, and endpoint traffic. It is suitable for small organizations experimenting with DLP concepts or requiring lightweight compliance support without high costs. While it covers multi-channel monitoring, development has slowed, and it lacks modern cloud-native features, AI classification, and insider risk analytics. Still, it may serve as an entry-level solution for SMBs with on-premise infrastructure.

Pros: Free, simple multi-channel coverage, useful for testing.

Cons: Outdated, limited support, no SaaS or advanced compliance tools.

22) Trend Micro DLP

Trend Micro integrates DLP into its endpoint security, email gateways, and hybrid cloud security solutions. It’s particularly effective for SMBs already using Trend Micro antivirus or endpoint protection, providing them with a lightweight DLP extension. It helps organizations meet GDPR and HIPAA requirements, but lacks advanced data lineage tracking and modern SaaS integrations. Trend Micro is reliable but better as a complementary tool rather than a standalone enterprise DLP.

Pros: Reliable vendor, strong endpoint/email integration, easy adoption.

Cons: Limited cloud-native DLP innovation, weaker insider risk coverage.

23) SecureTrust DLP

SecureTrust DLP is a compliance-driven solution designed for SMBs that need affordable and effective data security controls. It supports endpoint, network, and email traffic monitoring, with pre-built compliance templates for GDPR, HIPAA, and SOC 2. Its lightweight design makes it easy to deploy for small IT teams. However, it lacks broader enterprise features, AI-powered classification, and advanced insider threat detection compared to premium vendors.

Pros: Affordable, easy deployment, compliance-ready templates.

Cons: Limited scalability, weaker advanced features.

24) Imperva DLP

Imperva focuses on database and web application data security, making it one of the strongest options for structured data environments. It provides monitoring and policy enforcement at the application level, with strong compliance support for financial services and healthcare. While Imperva integrates into hybrid deployments, it is not a full cloud-native DLP and has limited endpoint and insider risk functionality. Best suited for enterprises prioritizing database protection over general data monitoring.

Pros: Excellent for databases, strong compliance coverage.

Cons: Expensive, lacks endpoint/SaaS features, enterprise-only.

25) Rapid7 InsightIDR (with DLP)

Rapid7 InsightIDR is primarily a SIEM and XDR solution, but it includes DLP capabilities for monitoring sensitive data flows. Its strength lies in correlating data loss incidents with broader security alerts, providing holistic visibility across the SOC. It supports hybrid environments and compliance reporting, but it is not a dedicated DLP platform. Organizations often choose it when they want SIEM and DLP capabilities in one solution.

Pros: SIEM + DLP integration, strong analytics, SOC-friendly.

Cons: Not a pure DLP, expensive, requires mature SOC.

26) Qualys DLP

Qualys extends its vulnerability management platform with basic cloud DLP functions. It focuses on discovering sensitive data across endpoints and cloud assets, integrating with vulnerability scanning for unified reporting. While it helps with compliance requirements, it is not a full-featured DLP and lacks advanced insider risk management or AI classification. It’s best for organizations already invested in the Qualys ecosystem.

Pros: Integrated with vulnerability scanning, lightweight deployment.

Cons: Limited standalone DLP value, weaker SaaS features.

27) Splunk ES (DLP add-ons)

Splunk Enterprise Security can be extended with DLP plugins, providing monitoring of sensitive data within SIEM workflows. It leverages data lineage insights and advanced analytics to correlate data movement with broader threats. This makes it powerful for enterprises with mature SOCs. However, it is resource-heavy and not a standalone DLP solution. Organizations must already run Splunk at scale to benefit from this integration.

Pros: Advanced analytics, SIEM+DLP synergy, strong data lineage.

Cons: Complex, costly, requires Splunk infrastructure.

28) Fortra DLP Suite

Fortra’s enterprise suite delivers comprehensive endpoint, network, and cloud-native DLP features. It supports advanced AI classification, insider risk detection, and compliance frameworks like GDPR, HIPAA, and SOC 2. Its strength lies in large-scale deployments across hybrid environments. However, its complexity and resource requirements make it more suitable for large enterprises than SMBs.

Pros: Full enterprise-grade coverage, hybrid deployment, compliance-ready.

Cons: Complex, resource-heavy, expensive.

29) Dow Jones Data Governance DLP

Dow Jones offers a niche data governance-focused DLP, providing strong compliance analytics and monitoring for structured data. It is used in industries where regulatory requirements demand granular oversight. While it adds value in governance-heavy contexts, it is not a versatile cloud-native DLP and lacks broad endpoint and SaaS integrations.

Pros: Strong governance tools, compliance-focused analytics.

Cons: Narrow use case, limited versatility, smaller adoption base.

30) Seclore Data-Centric Security

Seclore combines digital rights management (DRM) with DLP, securing files at the data level with encryption, access control, and policy enforcement. It supports hybrid deployments and helps organizations achieve compliance by ensuring sensitive documents remain protected even outside company networks. While its data-centric approach is powerful, complex licensing and integrations can slow adoption.

Pros: File-level security, strong DRM+DLP combination.

Cons: Complex licensing, difficult integration, not SMB-friendly.

Recommendations

• Enterprises → Symantec, Forcepoint, Proofpoint.
• Cloud-native SaaS users → Nightfall AI, Netskope, Microsoft Purview.
• SMBs → Kickidler, Safetica, Endpoint Protector.
• Compliance-driven orgs → Digital Guardian, GTB, Imperva.
• Insider risk management → Code42, Kickidler, Cyberhaven.

Why Kickidler Stands Out

Unlike legacy enterprise DLP vendors, Kickidler combines endpoint monitoring with insider risk analytics, remote employee control and employee productivity insights. This makes it a unique hybrid between DLP and workforce analytics — especially valuable for SMBs and distributed/ teams.

• Insider threat monitoring – screen recording, keystroke logging.
• Affordable for SMBs – lower cost vs enterprise giants.
• Easy deployment for remote teams – fast setup, cloud + on-prem.
• Employee productivity insights – monitor time, tasks, and efficiency.

DLP has become a must-have solution for businesses of all sizes. The right choice depends on company size, infrastructure, and compliance needs.