Acronis International had 19 patents in cybersecurity during Q4 2023. Acronis International GmbH has filed patents for systems that identify protected data in unknown files, monitor user behavior for abnormalities, detect malware in binary files, automatically recognize security incidents, and manage user group assignments based on behavior signatures. These systems use processors to implement instructions for various processes such as generating fragments, calculating signatures, comparing variance, and initiating workflows based on thresholds. GlobalData’s report on Acronis International gives a 360-degreee view of the company including its patenting strategy. Buy the report here.

Acronis International grant share with cybersecurity as a theme is 36% in Q4 2023. Grant share is based on the ratio of number of grants to total number of patents.

Recent Patents

Application: Automatic identification of files with proprietary information (Patent ID: US20230385455A1)

The patent filed by Acronis International GmbH describes a system and method for identifying protected data within unknown files by applying a sliding window process to generate fragments of data and checking if these fragments match known protected data in a library. The method involves generating continuous symbol fragments of varying lengths from the unknown file and stopping the identification process after the first match is found. Preprocessing steps can be performed before fragment generation, and the starting point for fragment generation can be determined by specific formulas or criteria.

The system for identifying protected data in unknown files includes a processor and memory storing instructions to implement the method. The system applies a sliding window process to generate data fragments, checks for matches in a library of known protected data fragments, and updates records or sends notifications if a match is found. The system can stop checking after the first match, perform preprocessing steps, and determine the starting point for fragment generation based on formulas or criteria. Additionally, the system can preprocess unknown files based on file type and specifically target predetermined binary unknown files for analysis. Overall, the system and method provide a structured approach to efficiently identify protected data within unknown files.

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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.