Blisk Integrations

This software examines both current and removed browser system files to gather extensive insights into a user's online behaviors. It enables the analysis of various digital footprints, including browsing history, social media interactions, search queries, emails, and YouTube viewing habits. With an intuitive interface, it caters not only to parents interested in supervising their children's internet usage but also to investigators focused on uncovering digital evidence. Remarkably, the tool can retrieve information even if the browsing history has been erased, files deleted, or the hard drive reformatted. For a deeper understanding of online engagement, check out our presentation video that showcases the program's capabilities. By selecting the user account and browser, you can generate a thorough report detailing the user's online activities. Furthermore, this application is compatible with all major web browsers, including Chrome, Yandex, Mozilla Firefox, Opera, Microsoft Edge, and Internet Explorer, making it a versatile choice for anyone needing to track internet usage. This comprehensive functionality ensures that no matter the circumstances, essential online data can be accessed and utilized effectively.

Our platform, powered by machine learning, provides immediate visibility into your traffic, enabling you to recognize users even if they attempt to conceal their identities. It effectively identifies attacks and bots, offering a wealth of real-time analytics while employing cutting-edge identification methods. Compatible with leading browsers and programming languages, our service allows seamless user identification across various devices and platforms. The culmination of our thorough identification process results in a detailed response that includes a unique and persistent identifier for each device, ensuring consistent recognition of users throughout different sessions. Additionally, you will receive in-depth insights regarding the client's device, which are derived from our sophisticated fingerprinting methodologies and machine learning evaluations. This extensive data encompasses various parameters such as browser versions, operating systems, and potential threat assessments, providing an all-encompassing overview of user interactions. Ultimately, this empowers businesses to make informed decisions based on user behavior and device characteristics.