Protecting the integrity and privacy of data shared over a remote connection from risks in the remote environment
A method, computer readable medium, and computer wherein a system provides an agent device a remote connection to a server resource, obtains remote environment data from the agent device and obtains communication data exchanged between the agent device and a client device. With that data, the system provides a multidimensional monitoring unit associated with the agent device, and the monitoring unit provides access to the remote environment data from the agent device and the communication data exchanged between the agent device and the client device. The system further detects changes in the remote environment data and communication data associated with the remote agent, and issues alarms in response to detecting changes.
1. A method comprising:
providing, to a first agent device, remote access to a server resource;
obtaining remote environment data from the first agent device and communication data exchanged between the first agent device and a first client device;
detecting a change in sentiment in the communication data exchanged between the first agent device and the first client device, wherein detecting a change in sentiment comprises applying speech analysis to the communication data to detect the change in sentiment; and
in response to detecting the change in sentiment, displaying the remote environment data at a graphical user interface on a supervisor device.
2. The method of claim 1 , wherein the remote environment data from the first agent device comprises data from two or more of an agent camera, agent microphone, or agent peripheral interface controller.
3. The method of claim 2 , wherein the communication data exchanged between the first agent device and the first client device comprises agent communication data and client communication data.
4. The method of claim 3 , wherein the change in sentiment is associated with the first agent device and further comprising establishing a communication connection between the supervisor device and the client device.
5. The method of claim 4 , further comprising disabling the agent device.
6. The method of claim 1 , further comprising:
receiving an indication from the supervisor device indicating that the change in sentiment is an acceptable change;
storing information in a database associated with the change in sentiment being an acceptable change; and
applying machine learning to the database to establish a model of acceptable changes that include the change in sentiment.
7. The method of claim 1 , wherein the speech analysis is used to identify changes in tone, volume or pitch associated with the communication data.
8. The method of claim 1 , further comprising determining whether the change in sentiment is associated with the client device or the agent device.
9. The method of claim 8 , further comprising updating the graphical user interface of the supervisor device to indicate which of the client device or the agent device that the change in sentiment is associated with.
10. A non-transitory computer readable storage medium storing instructions that are executable to cause a system to perform operations comprising:
provide, to a first agent device, remote access to a server resource;
obtain remote environment data from the first agent device and communication data exchanged between the first agent device and a first client device;
detect a change in sentiment in the communication data exchanged between the first agent device and the first client device, wherein detecting a change in sentiment comprises applying speech analysis to the communication data to detect the change in sentiment; and
in response to detecting the change in sentiment, displaying the remote environment data at a graphical user interface on a supervisor device.
11. The computer readable storage medium of claim 10 , wherein the remote environment data from the first agent device comprises data from two or more of an agent camera, agent microphone, or agent peripheral interface controller.
12. The computer readable storage medium of claim 11 , wherein the communication data exchanged between the first agent device and the first client device comprises agent communication data and client communication data.
13. The computer readable storage medium of claim 12 , wherein the change in sentiment is associated with the first agent device and wherein the instructions are executable to cause the system to perform further operations comprising establish a communication connection between the supervisor device and the client device.
14. The computer readable storage medium of claim 13 , further comprising disabling the agent device.
15. The computer readable storage medium of claim 10 , wherein the instructions are executable to cause the system to perform further operations comprising:
receive an indication from the supervisor device indicating that the change in sentiment is an acceptable change;
store information in a database associated with the change in sentiment being an acceptable change; and
apply machine learning to the database to establish a model of acceptable changes that include the change in sentiment.
16. The computer readable storage medium of claim 10 , wherein the speech analysis is used to identify changes in tone, volume or pitch associated with the communication data.
17. The computer readable storage medium of claim 10 , wherein the instructions are executable to cause the system to perform further operations comprising determine whether the change in sentiment is associated with the client device or the agent device.
18. The computer readable storage medium of claim 17 , wherein the instructions are executable to cause the system to perform further operations comprising update the graphical user interface of the supervisor device to indicate which of the client device or the agent device that the change in sentiment is associated with.
19. The method of claim 1 , wherein detecting a change in sentiment comprises detecting a change in the attitude or emotion of an agent or a client during a communication session between the agent and the client.
20. The method of claim 1 , wherein detecting a change in sentiment comprises detecting that a speaker is angry or upset.