Scam communication engagement
One embodiment provides a method, the method including: receiving, at an information handling device, an active communication; determining, using a scam detection system, the active communication is received from a scamming entity; transferring, using the scam detection system, the active communication to an automated conversation agent; and interacting, using the automated conversation agent, with the scamming entity.
1. A method, the method comprising:
receiving, at an information handling device, an active communication;
determining, using a scam detection system, the active communication is received from a scamming entity;
transferring, using the scam detection system, the active communication to an automated conversation agent; and
interacting, using the automated conversation agent, with the scamming entity, wherein the interacting comprises identifying and employing, utilizing a machine-learning model, at least one strategy for extending the active communication with the scamming entity for a maximum amount of time, wherein the machine-learning model learns questions and responses resulting in the extending of the active communication for the maximum amount of time.
2. The method of claim 1 , wherein the interacting comprises the automated conversation agent providing input to the scamming entity to access a human agent.
3. The method of claim 1 , wherein the interacting comprises interacting with a human agent of the scamming entity utilizing at least one natural language processing technique.
4. The method of claim 3 , wherein the natural language processing technique comprises analyzing an output provided by the scamming entity and providing a responsive response to the output.
5. The method of claim 1 , comprising updating the machine-learning model based upon interactions with scamming entities.
6. The method of claim 1 , wherein the at least one strategy comprises a delaying technique.
7. The method of claim 1 , further comprising identifying an identifier corresponding to the active communication and marking the identifier as corresponding to a scamming entity.
8. The method of claim 1 , wherein the determining comprises identifying an identifier corresponding to the active communication is identified as belonging to a scamming entity.
9. The method of claim 1 , wherein the determining is based upon user input.
10. An information handling device, the information handling device comprising:
a processor;
a memory device that stores instructions that, when executed by the processor, causes the information handling device to:
receive, at an information handling device, an active communication;
determine, using a scam detection system, the active communication is received from a scamming entity;
transfer, using the scam detection system, the active communication to an automated conversation agent; and
interact, using the automated conversation agent, with the scamming entity, wherein the interacting comprises identifying and employing, utilizing a machine-learning model, at least one strategy for extending the active communication with the scamming entity for a maximum amount of time, wherein the machine-learning model learns which questions and responses result in the extending of the active communication for the maximum amount of time.
11. The information handling device of claim 10 , wherein the interacting comprises the automated conversation agent providing input to the scamming entity utilizing at least one natural language processing technique.
12. The information handling device of claim 10 , wherein the interacting comprises interacting with a human agent of the scamming entity utilizing at least one natural language processing technique.
13. The information handling device of claim 12 , wherein the natural language processing technique comprises analyzing an output provided by the scamming entity and providing a responsive response to the output.
14. The information handling device of claim 10 , comprising updating the machine-learning model based upon interactions with the scamming entities.
15. The information handling device of claim 10 , wherein the at least one strategy comprises a delaying technique.
16. The information handling device of claim 10 , further comprising identifying an identifier corresponding to the active communication and marking the identifier as corresponding to a scamming entity.
17. The information handling device of claim 10 , wherein the determining comprises identifying an identifier corresponding to the active communication is identified as belonging to a scamming entity.
18. A product, the product comprising:
a computer-readable storage device that stores executable code that, when executed by a processor, causes the product to:
receive, at an information handling device, an active communication;
determine, using a scam detection system, the active communication is received from a scamming entity;
transfer, using the detection system, the active communication to an automated conversation agent; and
interact, using the automated conversation agent, with the scamming entity, wherein the interacting comprises identifying and employing, utilizing a machine-learning model, at least one strategy for extending the active communication with the scamming entity for a maximum amount of time, wherein the machine-learning model learns which questions and responses result in the extending of the active communication for the maximum amount of time.