Data Loss Prevention Software Comparison

As data breaches grow more frequent and costly, implementing robust data loss prevention (DLP) is no longer optional. This guide compares the top 10 DLP solutions for 2024 to help you secure sensitive data across cloud, network, and endpoints.

Data Loss Prevention Software Comparison 2024

Cyberhaven 

Cyberhaven combines cloud DLP, endpoint DLP, and incident response to give unparalleled visibility and control over sensitive data. It monitors file activity in real-time, detecting policy violations and automatically logging events. Cyberhaven also leverages browser data for cloud visibility and preventing data exfiltration.

Forcepoint DLP

Forcepoint DLP delivers unified policy enforcement across products like cloud, endpoint, and email DLP. It offers some user behavior analytics (UEBA) capabilities as well.

Symantec Data Loss Prevention

Symantec DLP is a longtime market leader that handles network, endpoint, and cloud data via separate products managed through a unified interface. It suits larger security teams handling diverse environments.

Trellix Data Loss Prevention

Born out of the merger between McAfee and FireEye, Trellix DLP combines endpoint, network, email, and cloud data discovery. Its ePolicy Orchestrator centralizes workflows.

Proofpoint Data Loss Prevention

Proofpoint's cloud-based Enterprise DLP platform spans email, web, CASB, endpoints, and more. Policies leverage its sensitive data classification engine.

Digital Guardian

Digital Guardian focuses on endpoint DLP, including cloud app visibility via proxy. Many clients deploy a dedicated cloud DLP solution alongside it.

Endpoint Protector by CoSoSys

This versatile, cross-platform solution excels at encryption and policy enforcement. It offers advanced content inspection and permissions management as well.

Code42 Incydr

Incydr emphasizes insider threat protection by monitoring file modification, movement, and unauthorized copying. Its data classification lags some alternatives.

Safetica DLP

Safetica One handles on-prem and remote device agents for data auditing, classification, and threat detection. Safetica Nxt is its cloud-based alternative.

Strac

Strac provides a robust cloud-native DLP platform securing SaaS apps, cloud storage, email, web, and endpoints via API integrations. It combines advanced data discovery with easy deployment and use.

How to Select the Right Data Loss Prevention Software

With myriad options on the market, choosing the right data loss prevention (DLP) software takes careful evaluation. Follow these best practices when assessing solutions:

• Match integration capabilities to your tech stack. Seek broad platform support.
• Ensure it handles necessary data states: at rest, in motion, in use.
• Verify regulatory compliance capabilities fit your industry's mandates.
• Check for advanced detection methods like machine learning and fingerprinting.
• Require strong policy creation, tuning, and enforcement features.
• Demand robust incident response and forensics tools.
• Evaluate UX and management console usability.
• Seek superior customer support and training resources.
• Confirm scalability aligns with your growth trajectory.
• Vet vendor reputation, stability, and roadmap vision.

By considering these criteria, you can select a DLP solution tailored to your organization's specific data security needs. Let's explore what capabilities to prioritize.

Must-Have Data Loss Prevention Software Features

When evaluating DLP software, look for these essential features:

• Data discovery - Pinpoints sensitive data at rest, in motion, and in use across environments.
• Classification - Categorizes data types based on associated risk levels.
• Policy engine - Creates and enforces rules governing data access, sharing, transmission etc.
• Machine learning - Leverages AI for more accurate sensitive data identification.
• Fingerprinting - Recognizes data patterns to detect exfiltration attempts.
• Incident management - Workflow for monitoring, alerting, and responding to threats.
• Encryption - Secures data by transforming it into coded form readable only with a key.
• Forensics - Investigates breaches and insider threats via auditing and eDiscovery.
• Reporting - Produces compliance reports and custom analytics on data.
• Cloud support - API connections secure cloud data like SaaS platforms.
• Endpoint agents - Software securing devices like laptops, even when off-network.

Robust DLP solutions incorporate these must-have capabilities to provide comprehensive data security across your environment.

Deploying Data Loss Prevention Best Practices

An effective DLP implementation requires more than just software. Follow these best practices:

• Obtain executive buy-in and present a data-driven ROI case.
• Assemble a joint DLP task force with IT, security, legal, and business units.
• Categorize your sensitive data types and rank their risk levels.
• Conduct a data security risk assessment evaluating controls.
• Define stringent policies aligned to regulations and data values.
• Limit data access to only authorized users with strict controls.
• Provide continuous DLP and security awareness training.
• Test policy adherence via simulations like phishing tests.
• Monitor DLP controls regularly and tune as needed.
• Promote data security as an organizational culture priority.

With the right mix of people, processes, and technology, companies can implement data loss prevention successfully. DLP is a long-term investment that pays dividends in risk reduction.

How Strac Can Help:

When comparing data loss prevention software, Strac stands out as a comprehensive SaaS/Cloud DLP and Endpoint DLP solution that offers modern features designed to protect your sensitive data across your entire digital ecosystem.

Strac's built-in and custom detectors support all sensitive data elements for PCI, HIPAA, GDPR, and any confidential data. Uniquely, Strac offers detection and redaction capabilities for images and deep content inspection for various document formats. Explore Strac's full catalog of sensitive data elements to see how it compares to other solutions.

For organizations concerned about compliance, Strac DLP helps achieve standards for PCI, SOC 2, HIPAA, ISO-27001, CCPA, GDPR, and NIST frameworks. With easy integration, customers can implement Strac and see live scanning and redaction on their SaaS apps in under 10 minutes.

Strac's machine learning models ensure accurate detection and redaction of sensitive PII, PHI, PCI, and confidential data, minimizing false positives and negatives. The solution offers extensive SaaS integrations, including AI integration with LLM APIs and AI websites like ChatGPT, Google Bard, and Microsoft Copilot.

For comprehensive protection, Strac provides Endpoint DLP that works across SaaS, Cloud, and Endpoint environments. Developers can leverage Strac's API support for custom implementations, while inline redaction capabilities ensure sensitive text is masked or blurred within attachments.

Strac's customizable configurations and out-of-the-box compliance templates allow for flexible, tailored data protection measures that can adapt to your specific needs.

The Bottom Line

With data breaches growing in impact and frequency, organizations must prioritize implementing data loss prevention. Following the software selection criteria, vendor comparisons, and best practices covered in this guide will enable you to build a layered DLP strategy securing your sensitive data. Don't leave your confidential information at risk - the time to strengthen data protection is now.