SECURE DOCS

The technology here consists of a compressed file format that includes metadata to visible text characters. It allows us to get known the details from each chars in the document e.g. who did the input, when, was it a paste - and if yes, then, from where.

The first example is straightforward; the contract price was altered by BOB:

Another example shows how char-based details allows us to reveal plagiarism. The text Alice claims to be her own was actually not her text. Only the first and last sentences were her - the rest was copied from Wikipedia:

Furthermore, If HW supports, you can also add e.g. stroke velocity and other that kind of information to metadata. Then, it can be easily detected whether the text is e.g. AI generated or does the metadata contain natural variance of key stroke velocities. Also, the writer can possibly be identified based on the patterns of key stroke related velocity, hesitation etc. data.

Additionally, this technology supports the growing need for engagement with behavioral biometrics and emotional analysis: e.g. heightened velocity over chars of certain words can indicate they are typed with more stress/anger (harder key stroke) and those words could be highlighted with some forensic tool/add-on.

Many other examples could be provided, since this technology provides very broad use wherever security and data validation and integrity are highly needed. This technology gets digital world typing closer to manual handwriting; its nuances and rich data involved within it. On the other hand it goes beyond that by miles with recorded timestamps, IDs and other data.

Patent pending.