In 2026, a Court in Munich held an organization liable for AI-generated content, marking a significant shift from blaming AI to holding the operator accountable for AI misinformation and hallucinations. In fact, the court put a price on the injunction, as high as €250,000 per violation.
The AI model isn’t to blame here, but the data fed to it is. Global surveys reveal that more than half of the data in an organization is dark (largely ROT), one in three breaches involve shadow data, and up to $30M is wasted on data that could be deleted.
Redundant, obsolete, and trivial (ROT) data, when left ungoverned and unmonitored, not only results in high storage costs but also increased attack surface and regulatory fines.
Download the infographics and find out why the “algorithm did it” is no longer a valid legal defense statement, and how a three-phased ROT minimization blueprint can effectively transform ROT data from a liability to an AI-ready data foundation.