COMPUTER METHOD AND SYSTEM FOR INTELLIGENCE GATHERING
A system and associated method for intelligence gathering is provided. The system includes a forensic data source, an investigation module, and a report generation module. The investigation module is configured to collect subject data of a subject from the forensic data source and transmit subject data to the report generation module. The report generation module is configured to receive the subject data from the investigation module and analyze subject data to generate an investigation report output.
1 . An electronic intelligence gathering system for identifying suspicious subject data comprising:
a processor;
a forensic data source comprising a data storage device, coupled to the processor, the data storage device storing subject data of a subject, the subject data being data characterizing a behaviour of the subject;
a memory coupled to the processor, the memory storing an investigation module and a report generation module, each configured to be executed by the processor;
the investigation module configured to:
collect the subject data of the subject from the data storage device of the forensic data source; and
transmit the collected subject data to the report generation module;
and wherein the report generation module is configured to:
receive the subject data from the investigation module; and
analyze the subject data to generate a digital investigation report output.
2 . The system of claim 1 , wherein the digital investigation report output comprises investigation flag data.
3 . The system of claim 1 , the memory further comprising a searching module configured to be executed by the processor, wherein the searching module is configured to receive a keyword string data as input from an investigator terminal and the subject data from the investigation module, and output a search report.
4 . The system of claim 3 , wherein the searching module applies a machine learning model, and wherein the machine learning model receives the keyword string data and the subject data as an input and outputs search report data to the searching module.
5 . The system of claim 1 , wherein the subject comprises a subject class and the report generation module analyzes the subject data according to the subject class.
6 . The system of claim 4 , wherein the subject comprises a subject class.
7 . The system of claim 1 , wherein the forensic data source is an employee computer.
8 . The system of any one of claim 1 , wherein the forensic data source is an employee mobile device.
9 . The system of claim 2 , wherein the investigation flag data comprises file path data, browser history entries, or employee calendar entries.
10 . The system of claim 4 , wherein the machine learning model comprises a neural network.
11 . An electronic intelligence gathering method for identifying suspicious subject data, comprising:
collecting subject data of a subject from a data storage device of a forensic data source, wherein the subject data characterizes a behavior of the subject;
providing the subject data to a report generation module stored on a memory; and
executing the report generation module on a processor to generate digital investigation report output comprising investigation flags identifying suspicious subject data.
12 . The method of claim 11 , wherein the subject comprises a subject class and analyzing the subject data comprises inputting the subject data and the subject class into a machine learning model.
13 . The method of claim 11 , further comprising:
providing a keyword search string to a searching module as an input, the searching module stored in the memory and configured to be executed by the processor;
providing the collected subject data to the searching module as an input; and
executing the searching module on the processor to generate a search report using the searching module.
14 . The method of claim 11 , wherein the investigation report output comprises investigation flag data.
15 . The method of claim 13 , wherein the searching module applies a machine learning model and wherein the machine learning model receives the keyword string data and the subject data as an input and outputs search report data to the searching module.
16 . The method of claim 11 , wherein the subject comprises a subject class and the report generation module analyzes the subject data according to the subject class.
17 . The method of claim 11 , wherein the forensic data source is an employee computer.
18 . The method of claim 11 , wherein the forensic data source is an employee mobile device.
19 . The method of claim 14 , wherein investigation flag data comprises file path data, browser history entries, or employee calendar entries.
20 . The method of claim 15 , wherein the machine learning model comprises a neural network.