Trellix, formerly known as McAfee, is a trusted name in the cybersecurity industry that’s renown for its comprehensive and continuously evolving solutions. Trellix’s Data Loss Prevention software (DLP), is highly scalable and customizable to a company’s specific needs. With its suite of robust features and a strong emphasis on forensic analysis, Trellix stands as a reliable solution for advanced data security needs for mobile devices and endpoints.
McAfee Data Loss Prevention Alternatives
1. Cyberhaven (Best overall)
Cyberhaven is an advanced cloud-based solution that combines traditional endpoint data loss prevention with insider threat protection. This comprehensive platform empowers security administrators to swiftly detect instances of sensitive data exposure within applications and trace the sequence of end-user behaviors leading to these incidents on endpoints and in the cloud using APIs. The app lets you use automation to enable remediation of any incidents. Additionally, this information can quickly be passed on to your SIEM to provide detailed notifications. With its sophisticated content classification and meticulous monitoring of file events, Cyberhaven enables automatic logging and immediate intervention when users engage in prohibited actions. Notably, Cyberhaven stands out by leveraging browser data to enhance SaaS app visibility and reinforce security policies, effectively mitigating the risks of data leakage, exfiltration, data security incidents that would result in regulatory fines.
2. Forcepoint DLP
Forcepoint Data Loss Prevention (DLP) is a security solution designed to protect sensitive information and prevent data breaches. Its capabilities include fingerprinting, discovery tasks, email security, device information theft protection, and more. It offers scalability and customization options, allowing organizations to tailor the solution to their specific needs. However, there are some cons to consider, such as the complexity of deployment on multiple servers, the need for improvements in data discovery and machine learning techniques, and potential challenges with the user interface and local support experience. Additionally, the pricing structure may be more suitable for larger enterprises than for small to medium-sized businesses. Overall, Forcepoint’s dlp solution offers robust data protection functionality and workflows, but it requires technical understanding and careful consideration of its implementation and support aspects.
3. Symantec DLP
Broadcom Symantec DLP offers a data loss prevention solution with a suite of cybersecurity tools. Its strengths lie in its ability to prevent, detect, and respond to potential data loss across various endpoints, such as email, web browsers, and USB devices. Leveraging advanced behavioral analytics, it effectively identifies and classifies sensitive data in real-time, providing enhanced data security. The solution’s scalability caters to businesses of all sizes, and its integration capabilities with other security solutions further enhance its data protection capacities. However, the initial setup and configuration can be complex and resource-intensive, requiring specialized support. Additionally, occasional false positive flags and limited support for cloud storage and Mac systems are areas for improvement. Overall, Symantec DLP is a powerful tool in the cybersecurity landscape, providing comprehensive data protection with some considerations for implementation and certain feature limitations.
4. Digital Guardian
Digital Guardian’s endpoint protection offers data classification to help identify PII and other sensitive data, effective and reliable detection processes, and robust data monitoring capabilities, contributing to its strengths in database efficiency and endpoint security. It also boasts flexible controls for business eligibility and a cloud-focused delivery model that enhances its efficiency. However, users have noted in some cases it can cause undesirable effects in other programs, generate excessive false positives if not properly tuned, and sometimes has high resource usage on endpoints.
Code42’s Incydr platform offers a solution for risk detection, particularly suited to addressing insider threats and file exfiltration risks in remote work environments. With its monitoring of file events and use of AI and machine learning, Incydr provides visibility into potential intellectual property theft or file exposure. The platform’s ability to classify data based on file information, vector information, and user information enhances its detection capabilities. Notably, Incydr’s integration with various systems and its focus on monitoring high-risk employees contribute to its effectiveness in providing information protection. However, challenges have been reported in the distribution process and the filtering of data, which can result in a laborious setup and difficulty in excluding specific data from monitoring. Despite these limitations, Incydr’s strengths lie in its ability to identify and respond to data theft or active exfiltration events, providing a valuable tool for organizations seeking to enhance their data security measures.