Systems and methods for an artificial intelligence driven agent
A system and method is described that sends multiple simulated phishing emails, text messages, and/or phone calls (e.g., via VoIP) varying the quantity, frequency, type, sophistication, and combination using machine learning algorithms or other forms of artificial intelligence. In some implementations, some or all messages (email, text messages, VoIP calls) in a campaign after the first simulated phishing email, text message, or call may be used to direct the user to open the first simulated phishing email or text message, or to open the latest simulated phishing email or text message. In some implementations, simulated phishing emails, text messages, or phone calls of a campaign may be intended to lure the user to perform a different requested action, such as selecting a hyperlink in an email or text message, or returning a voice call.
1. A method comprising:
providing, by one or more processors, an artificial intelligence agent trained with results from using a plurality of different types of simulated phishing communications;
determining, by the one or more processors using the artificial intelligence agent, a predetermined time between communicating a first simulated phishing communication and a second simulated phishing communication and a second type of simulated phishing communication to communicate to a user after at least the predetermined time to cause the user to take an action responsive to the second type of simulated phishing communication; and
communicating, by the one or more processors, the second type of simulated phishing communication to a device of the user after at least the predetermined time.
2. The method of claim 1 , wherein the artificial intelligence agent is a machine learning agent.
3. A The method of claim 1 , further comprising training the artificial intelligence agent with results from communicating a plurality of sequences of the plurality of different types of simulated phishing communications across a plurality of users.
4. The method of claim 1 , wherein the artificial intelligence agent is configured to take as input one or more attributes of the user and provide as output information identifying at least the second type of simulated phishing communication.
5. The method of claim 1 , wherein the artificial intelligence agent is configured to take as input one or more attributes of the user and provide as output information identifying at least the first type of simulated phishing communication.
6. The method of claim 1 , wherein the artificial intelligence agent is configured to take as input one or more attributes of the user and provide as output information identifying at least the predetermined time.
7. The method of claim 1 , wherein the artificial intelligence agent is configured to take as input one or more attributes of the user and provide as output information identifying a sequence of at least the first type of simulated phishing communication followed by the second type of simulated phishing communication.
8. The method of claim 1 , wherein the first type of simulated phishing communication comprises at least one of an email, a text, a short message service (SMS) message, a phone call or an Internet based communication and the second type of simulated phishing communication comprises one of an email, a text, an SMS message, a phone call or an Internet based communication different from the first type of communication.
9. The method of claim 1 , wherein the artificial intelligence agent is configured to provide as output information identifying a predetermined likelihood the user will take the action responsive to the second type of simulated phishing communication.
10. The method of claim 1 , further comprising determining, by the one or more processors using the artificial intelligence agent, a sequence of at least the first type of simulated phishing communication followed by the second type of simulated phishing communication after at least the predetermined time to cause the user to take the action responsive to the second type of simulated phishing communication.
11. A system comprising:
one or more processors, coupled to memory and configured to:
provide an artificial intelligence agent trained with results from using a plurality of different types of simulated phishing communications;
determine, using the artificial intelligence agent, a predetermined time between communicating a first simulated phishing communication and a second simulated phishing communication and a second type of simulated phishing communication to communicate to a user after at least the predetermined time to cause the user to take an action responsive to the second type of simulated phishing communication; and
communicate the second type of simulated phishing communication to a device of the user after at least the predetermined time.
12. The system of claim 11 , wherein the artificial intelligence agent is a machine learning agent.
13. The system of claim 11 , wherein the one or more processors are further configured to train the artificial intelligence agent with results from communicating a plurality of sequences of a plurality of different types of simulated phishing communications across a plurality of users.
14. The system of claim 11 , wherein the artificial intelligence agent is configured to take as input one or more attributes of the user and provide as output information identifying at least the second type of simulated phishing communication.
15. The system of claim 11 , wherein the artificial intelligence agent is configured to take as input one or more attributes of the user and provide as output information identifying at least the predetermined time.
16. The system of claim 11 , wherein the artificial intelligence agent is configured to take as input one or more attributes of the user and provide as output information identifying at least the first type of simulated phishing communication.
17. The system of claim 11 , wherein the artificial intelligence agent is configured to take as input one or more attributes of the user and provide as output information identifying a sequence of at least the first type of simulated phishing communication followed by the second type of simulated phishing communication.
18. The system of claim 11 , wherein the first type of simulated phishing communication comprises at least one of an email, a text, a short message service (SMS) message, a phone call or an Internet based communication and the second type of simulated phishing communication comprises one of an email, a text, an SMS message, a phone call or an Internet based communication different from the first type of communication.
19. The system of claim 11 , wherein the artificial intelligence agent is configured to provide as output information identifying a predetermined likelihood the user will take the action responsive to the second type of simulated phishing communication.
20. The system of claim 11 , wherein the one or more processors are further configured to use the artificial intelligence agent to determine a sequence of at least the first type of simulated phishing communication followed by the second type of simulated phishing communication after at least the predetermined time period to cause the user to take the action responsive to the second type of simulated phishing communication.