Data Loss Prevention (DLP) tools and software are essential for protecting sensitive information from unauthorized access, accidental loss, or misuse. As data breaches and cyber threats rise, businesses must rely on DLP software to safeguard critical assets like intellectual property, personally identifiable information (PII), and financial data.
Why Use Data Loss Prevention Tools?
Although not every business is legally required to implement DLP tools, the increasing frequency of data breaches makes them a smart investment. A strong DLP strategy is not just about compliance — it’s a best practice for reducing risk and securing sensitive information.
Top 10 Data Loss Prevention Tools
Here’s a closer look at some of the most reliable and effective DLP tools on the market, each offering unique benefits for protecting your data:
1. Microsoft Purview
Microsoft Purview is an all-in-one DLP solution integrated within the Microsoft 365 ecosystem. It protects data across platforms like SharePoint, Exchange, and Teams, offering advanced monitoring and classification features. While it excels in Microsoft environments, its integration with non-Microsoft tools is limited. For businesses invested in Microsoft’s ecosystem, Purview is an efficient option.
2. Google Cloud DLP
Built for Google Cloud Platform (GCP), Google Cloud DLP focuses on data classification and de-identification. It secures data in motion with automated classification and encryption, making it great for GCP users. However, its utility is limited for businesses outside Google’s ecosystem. For GCP users, it ensures seamless protection and compliance.
3. Netskope DLP
Netskope’s cloud-native approach protects SaaS, IaaS, and web traffic, ideal for cloud-focused businesses. Known for real-time monitoring and granular policy controls, it handles complex environments with ease. While setup can be challenging, its coverage is unmatched for dynamic cloud setups.
4. Symantec DLP (Broadcom)
Symantec DLP is a trusted choice for large enterprises with extensive data protection needs. Offering customizable policies and endpoint protection, it adapts to complex environments. Though resource-intensive, its robust tools make it ideal for enterprises needing a scalable DLP solution.
5. Forcepoint DLP
Forcepoint DLP uses behavioral analytics to create risk-based policies that adapt to user activity. It’s ideal for organizations prioritizing behavior-driven threat detection. While there’s a learning curve, Forcepoint excels in monitoring and real-time adjustments, delivering proactive data loss prevention.
6. Digital Guardian
Digital Guardian supports cloud, on-premises, and hybrid environments, focusing on endpoint and network protection with detailed reporting. While complex for smaller teams, its advanced features make it ideal for securing sensitive data in diverse environments.
7. Palo Alto Networks DLP
Integrated with Palo Alto’s cybersecurity suite, this solution streamlines network and endpoint protection. Its AI-powered classification makes it a strong choice for enterprises using Palo Alto tools. Though expensive, its seamless integration is highly effective for Palo Alto users.
8. Nightfall AI
Nightfall AI uses machine learning to detect sensitive data across SaaS platforms like Slack and Google Drive. Its accuracy and low false positive rate make it ideal for SaaS-heavy operations. While it lacks full network DLP, it’s great for mid-sized organizations focused on cloud security.
9. Code42 Incydr
Code42 Incydr focuses on detecting and preventing insider threats in endpoint environments. It offers quick incident response, making it valuable for managing internal risks. Though it lacks cloud DLP features, it’s excellent for insider threat mitigation.
10. Endpoint Protector by CoSoSys
Endpoint Protector is a cross-platform DLP solution with device control and customizable policies. Its user-friendly design suits businesses managing diverse systems and devices. While setup is time-consuming, it’s effective for complex device ecosystems.