Data breach detection system

A method comprising:

• receiving marketing campaign associated data from one or more telemarketing sources by a plurality of users via electronic communications;
• determining anomalies associated with a subset of users of the plurality of users that receives the marketing campaign associated data, wherein the anomalies are indication that personal data associated with the subset of users has been breached;
• identifying a marketing content from the received marketing campaign associated data within the electronic communications for the subset of users;
• and
• based on the identifying, determining potential sources of data breach where data associated with the subset of users has been breached.

A method comprising:

• receiving marketing campaign associated data from one or more telemarketing sources by a plurality of users via telephony communications;
• applying a machine learning algorithm to the received marketing campaign associated data that determines anomalies associated with a subset of users of the plurality of users that receives the marketing campaign associated data;
• identifying a marketing content from the received marketing campaign associated data within the telephony communications for the subset of users;
• querying a database storing user information for the subset of users;
• determining one or more common attributes between users within the subset of users based on the query;
• and
• identifying a source of data breach based on the marketing content and further based on the one or more attributes.