Data loss prevention framework using cloud infrastructure

A computer implemented method for data loss prevention, the method comprising:

• (a) receiving, by one or more computing devices, one or more data streams from one or more remote sources, wherein each of the one or more data streams contains textual data;
• (b) consolidating, by the one or more computing devices, the one or more data streams into a single data stream, wherein the single data stream includes one or more fields that indicate from which of the one or more remote sources the textual data for each of the one or more data streams originates;
• (c) transmitting, by the one or more computing devices, the single data stream to an analytics engine;
• and
• (d) transmitting in real-time, by the analytics engine, after determining that the textual data of each of the one or more data streams contains a sensitive data, a request to the one or more remote sources to perform a task on the textual data, wherein the determining is performed using a data structure storing keywords and regular expressions.

A non-transitory computer readable medium including instructions for a computing system for data loss prevention, the instructions comprising:

• (a) receiving, by one or more computing devices, one or more data streams from one or more remote sources, wherein each of the one or more data streams contains textual data;
• (b) consolidating, by the one or more computing devices, the one or more data streams into a single data stream, wherein the single data stream includes one or more fields that indicate from which of the one or more remote sources the textual data for each of the one or more data streams originates;
• (c) transmitting, by the one or more computing devices, the single data stream to an analytics engine;
• and
• (d) transmitting in real-time, by the analytics engine, after determining that the textual data of each of the one or more data streams contains a sensitive data, a request to the one or more remote sources to perform a task on the textual data, wherein the determining is performed using a data structure storing keywords and regular expressions.

A computing system for data loss prevention comprising:

• at least one processor;
• and
• a memory communicatively coupled to the at least one processor, wherein the memory stores instructions that, when executed by the at least one processor, cause the at least processor to perform operations comprising:
• (a) receiving, by one or more computing devices, one or more data streams from one or more remote sources, wherein each of the one or more data streams contains textual data;
• (b) consolidating, by the one or more computing devices, the one or more data streams into a single data stream, wherein the single data stream includes one or more fields that indicate from which of the one or more remote sources the textual data for each of the one or more data streams originates;
• (c) transmitting, by the one or more computing devices, the single data stream to an analytics engine;
• and
• (d) transmitting in real-time, by the analytics engine, after determining that the textual data of each of the one or more data streams contains a sensitive data, a request to the one or more remote sources to perform a task on the textual data, wherein the determining is performed using a data structure storing keywords and regular expressions.