AI Writing Detection Tool Analyzes Linguistic Fingerprint to Check Authorship

FLINT Systems has introduced a new linguistic tool designed to detect whether a document was written by its attributed author. The system is designed not simply to detect whether a piece of writing was authored by an AI, but whether it was written by the person claiming authorship at all.

To do this, according to the company, the system "applies forensic linguistic methodologies to create a digital linguistic fingerprint of an individual's writing style. It then creates a linguistic fingerprint of the document at question and compares the two. Testing results showed that when documents were created by anyone other than the individual who submitted the document, FLINT Systems correctly identified in over 80% of the cases."

This "fingerprinting" approach distinguishes it from other AI writing detection tools like GPTZero becaue it eliminates the potential errors in detection that occur when AI-written content is edited by a human, the company said. "By applying linguistic fingerprinting technology, the FLINT System can correctly identify when an individual did not author the document, regardless of whether or not there are elements of humanly developed texts interwoven into the AI document."

A free trial of the system is available. In a test case, I compared one of my articles with three other articles I'd written, and it determined that the article in question was 50% to 55% likely to have been written by me. (It was written by me — although, as in the case of this article, it did contain quotes from other people.)

The free trial, which requires registration, is available at free.flintai.com/home. To use it, upload some documents from a single author. Then click the "Compare and Analyze" button to upload a document to compare against the previous documents.

For more information, visit flintai.com.

About the Author

David Nagel is the former editorial director of 1105 Media's Education Group and editor-in-chief of THE Journal, STEAM Universe, and Spaces4Learning. A 30-year publishing veteran, Nagel has led or contributed to dozens of technology, art, marketing, media, and business publications.

He can be reached at [email protected]. You can also connect with him on LinkedIn at https://www.linkedin.com/in/davidrnagel/ .


Featured

  • abstract graph showing growth

    Where Are You on the Ed Tech Maturity Curve?

    Ed tech maturity models can help institutions map progress and make smarter tech decisions.

  • row of digital padlocks

    2026 Cybersecurity Trends to Watch in Higher Education

    In an open call last month, we asked education and industry leaders for their predictions on the cybersecurity landscape for schools, districts, colleges, and universities in 2026. Here's what they told us.

  • Interface buttons of Generative AI tool

    Report: No Foolproof Method Exists for Detecting AI-Generated Media

    Microsoft has released a new research report warning that no single technology can reliably distinguish AI-generated content from authentic media, and that deepening reliance on any one method risks misleading the public.

  • Abstract digital cloudscape of glowing interconnected clouds and radiant lines

    Cloud Complexity Outpacing Human Defenses, Report Warns

    According to the 2026 Cloud Security Report from Fortinet, while cloud security budgets are rising, 66% of organizations lack confidence in real-time threat detection across increasingly complex multi-cloud environments, with identity risks, tool sprawl, and fragmented visibility creating persistent operational gaps despite significant investment increases.