Compare Digital Guardian vs. Guardz

Uncompromised data protection offers the adaptability necessary to meet your specific requirements. Digital Guardian stands out among data loss prevention (DLP) solutions due to its capability to implement either a use case-based strategy (focusing on defined data types or user segments) or a data risk discovery methodology (which identifies previously unknown use cases). By utilizing this risk discovery framework, you can achieve enhanced visibility into the locations of sensitive data, its movement within the organization, and potential vulnerabilities, all without needing to establish policies. Built on AWS, Digital Guardian facilitates straightforward deployment, minimal overhead, and flexible scalability, maximizing the return on your security investment. It provides comprehensive support for Windows, macOS, Linux operating systems, and all types of applications, whether they are browser-based or native. Moreover, its unique “unknown risk” strategy further illuminates the whereabouts of sensitive data, detailing its movement and associated risks, again without relying on policies. Only Digital Guardian offers an integrated approach to data discovery and classification that encompasses content, user, and contextual factors, ensuring robust protection across your entire digital landscape. This multifaceted approach not only enhances data security but also streamlines compliance efforts across diverse regulatory environments.

Guardz is an AI-powered cybersecurity solution that provides MSPs with a platform to protect and insure small and growing businesses from cyberattacks. The platform provides automatic detection and response to protect users, devices, cloud directories, and data. We simplify cybersecurity management to allow businesses to focus on their growth without being bogged down by security complexity. The Guardz pricing model is scalable and cost effective and ensures comprehensive digital asset protection. It also facilitates rapid deployment and business growth.