Rules are precise but brittle: they only catch what you thought to describe. Content-aware AI classification generalises, recognising sensitive information from meaning rather than a fixed pattern.
Beyond keywords and regex
A regular expression finds a card number; it does not understand that a paragraph describes a patient's condition or a confidential acquisition. AI reads the content and infers sensitivity, catching what static rules miss.
Clearing the legacy backlog
Most organisations sit on years of unlabelled files. Hand-labelling them is impossible; AI classification makes it feasible, applying labels across the backlog so DLP and governance finally act on the whole estate.
Human in the loop
Veriket's AI suggests and applies labels, with policy and review keeping control. It is a signature capability that turns classification from a manual chore into a continuous, scalable process.