The developer of plagiarism detection systems, Rukont, has introduced a new tool that tracks the student's writing process in an online editor. The system records keystrokes, edits, and time spent on assignments to verify authorship. Universities may implement this technology starting in the 2026/27 winter session.
According to a 2025 survey by the 'I am a Professional' association, 85% of students use neural networks, with 43% utilizing them for academic work. The proposed system aims to address the difficulty of verifying independent work by providing instructors with an activity log of the document's creation.
Experts from MEPhI, MAI, UrFU, and PSUTI expressed concerns regarding the system. They highlighted potential issues such as increased administrative burden on faculty, excessive time requirements, and technical limitations. Critics noted that the tool does not guarantee authorship, as students could still manually type AI-generated content.
Rukont CEO Maxim Dymkov acknowledged that while the system tracks keyboard activity, it does not definitively prove authorship. The company emphasizes that its primary approach remains providing transparent reports that highlight specific text matches and sources, allowing instructors to make informed decisions.



