Abstract: The present invention provides improved techniques that can be used to verify illegitimate non-human users that are accessing content. For example, a method of verifying a non-human user of a computerized device may comprise receiving information identifying a potential non-human user of a computerized device, altering a browser page to be used by the potential non-human user, and verifying whether or not the potential non-human user is an actual non-human user based on a behavior of the potential non-human user with the altered browser page.

Abstract: Method for automatically monitoring and verifying advertising content during a campaign, delivered over a data network. Accordingly, one or more advertisers submit, via a user interface, a list (that may be generated manually or by the mapping crawlers) of sites or of sections per site, on which the advertising content should be placed according to a desired insertion order (the insertion order information may modified at any time point). In addition, one or more mapping crawlers are activated to visit these sites and locate pages with advertisements that belong to required sections, pages that do not belong to the required sections or pages with high probability for incidents. A list of pages to visit per every site is generated and autonomous or Plug-in visual crawlers are allowed to visit the list of pages, according to a predetermined site visiting plan. A crawlers' manager allocates the pages between visual crawlers, for obtaining required adequate incident coverage and load on the visual crawlers.