A computer-implemented method for polluting response data that corresponds to a phishing campaign, the method comprising: receiving a message that is addressed to a real user account and includes data that causes generation of a user interface input control which is configured to request a transmission of the response data that corresponds to the phishing campaign; analyzing the message with respect to filter criteria to determine whether to designate the message as being a phishing message; and based on the message being designated as the phishing message: preventing the message from being transmitted to a user device that corresponds to the real user account; determining a type of information that is responsive to the message and corresponds to the phishing campaign; generating content that corresponds to the determined type of information; transmitting, to a phisher computing system in response to the message, a response comprising the content, wherein the response includes at least one false user credential associated with a false user account; receiving, from a computing device, an access request that includes the false user credentials; and responsive to the access request, including the false user credentials, provisioning the computing device with access to at least one false data file that is stored in association with the false user account; wherein the method further comprises: analyzing a corpus of text, wherein the corpus of text comprises at least one real data file associated with at least one real user account; identifying, based at least in part on the analyzing, one or more properties of the at least one real data file; generating a false tenant model configured to generate false data files exhibiting the one or more properties of the at least one real data file; generating the false user account and the at least one false data file, wherein the at least one false data file is generated using the false tenant model; storing the at least one false data file in association with the false user account. receiving a message that is addressed to a real user account and includes data that causes generation of a user interface input control which is configured to request a transmission of the response data that corresponds to the phishing campaign; analyzing the message with respect to filter criteria to determine whether to designate the message as being a phishing message; and based on the message being designated as the phishing message: preventing the message from being transmitted to a user device that corresponds to the real user account; determining a type of information that is responsive to the message and corresponds to the phishing campaign; generating content that corresponds to the determined type of information; preventing the message from being transmitted to a user device that corresponds to the real user account; determining a type of information that is responsive to the message and corresponds to the phishing campaign; generating content that corresponds to the determined type of information; transmitting, to a phisher computing system in response to the message, a response comprising the content, wherein the response includes at least one false user credential associated with a false user account; receiving, from a computing device, an access request that includes the false user credentials; and responsive to the access request, including the false user credentials, provisioning the computing device with access to at least one false data file that is stored in association with the false user account; receiving, from a computing device, an access request that includes the false user credentials; and responsive to the access request, including the false user credentials, provisioning the computing device with access to at least one false data file that is stored in association with the false user account; wherein the method further comprises: analyzing a corpus of text, wherein the corpus of text comprises at least one real data file associated with at least one real user account; identifying, based at least in part on the analyzing, one or more properties of the at least one real data file; generating a false tenant model configured to generate false data files exhibiting the one or more properties of the at least one real data file; generating the false user account and the at least one false data file, wherein the at least one false data file is generated using the false tenant model; storing the at least one false data file in association with the false user account. analyzing a corpus of text, wherein the corpus of text comprises at least one real data file associated with at least one real user account; identifying, based at least in part on the analyzing, one or more properties of the at least one real data file; generating a false tenant model configured to generate false data files exhibiting the one or more properties of the at least one real data file; generating the false user account and the at least one false data file, wherein the at least one false data file is generated using the false tenant model; storing the at least one false data file in association with the false user account.