Systems and methods for AIDA based role models
The present disclosure describes systems and methods for using a model for a predetermined role for simulated phishing campaigns. A campaign controller communicates simulated phishing communications to one or more devices of a user using a model that the campaign controller selects from a plurality of models in a database that have been established for predetermined roles of a company. The model is selected based on one or more attributes of the user that are identified by the campaign controller. The campaign controller identifies one or more attributes of each user of a plurality of users for the simulated phishing campaign, and the campaign controller selects a respective model for each user based on the attributes of each user, wherein the models are not all the same for all of the users.
1. A method comprising selecting, by one or more processors, an artificial intelligence model amongst a plurality of artificial intelligence models to be used to create one or more simulated phishing communications for a user based at least on one or more attributes of the user;
using, by the one or more processors, the artificial intelligence model to identify content for the one or more simulated phishing communications to be communicated to one or more devices of the user; and
causing, by the one or more processors the one or more simulated phishing communications having the content identified by the artificial intelligence model to be communicated to the one or more devices of the user.
2. The method of claim 1 , further comprising using, by the one or more processors, a classification model to select the artificial intelligence model amongst the plurality of artificial intelligence models.
3. The method of claim 1 , further comprising receiving, by the one or more processors, identification of the one or more attributes of the user.
4. The method of claim 1 , further comprising identifying, by the one or more processors, a role of the user based at least on the one or more attributes of the user.
5. The method of claim 4 , further comprising selecting, by the one or more processors, the artificial intelligence model that corresponds to the role of the user.
6. The method of claim 1 , further comprising selecting, by the one or more processors, the artificial intelligence model corresponding to a persona to be used for communicating with the user.
7. The method of claim 1 , further comprising selecting, by the one or more processors, the artificial intelligence model based on the one or more attributes of the user identifying an industry, a demographic or an organization level in a company of the user.
8. The method of claim 1 , further comprising selecting, by the one or more processors, the artificial intelligence model amongst the plurality of artificial intelligence models based at least on a persona to be used for the user.
9. The method of claim 1 , further comprising communicating, by the one or more processors, the one or more simulated phishing communications having the content specified in accordance with a persona provided by the artificial intelligence model.
10. The method of claim 1 , further comprising communicating, by the one or more processors, the one or more simulated phishing communications using a type of simulated phishing communication identified by the artificial intelligence model.
11. A system comprising one or more processors, coupled to memory, and configured to:
select an artificial intelligence model amongst a plurality of artificial intelligence models to be used to create one or more simulated phishing communications for a user based at least on one or more attributes of the user;
use the artificial intelligence model to identify content for the one or more simulated phishing communications to be communicated to one or more devices of the user; and
cause the one or more simulated phishing communications having the content identified by the artificial intelligence model to be communicated to the one or more devices of the user.
12. The system of claim 11 , wherein the one or more processors are further configured to use a classification model to select the artificial intelligence model amongst the plurality of artificial intelligence models.
13. The system of claim 11 , wherein the one or more processors are further configured to receive identification of the one or more attributes of the user.
14. The system of claim 11 , wherein the one or more processors are further configured to identify a role of the user based at least on the one or more attributes of the user.
15. The system of claim 14 , wherein the one or more processors are further configured to select the artificial intelligence model that corresponds to the role of the user.
16. The system of claim 11 , wherein the one or more processors are further configured to select the artificial intelligence model corresponding to a persona to be used for communicating with the user.
17. The system of claim 11 , wherein the one or more processors are further configured to select the artificial intelligence model based on the one or more attributes of the user identifying an industry, a demographic or an organization level in a company of the user.
18. The system of claim 11 , wherein the one or more processors are further configured to select the artificial intelligence model amongst the plurality of artificial intelligence models based at least on a persona to be used for the user.
19. The system of claim 11 , wherein the one or more processors are further configured to communicate the one or more simulated phishing communications having the content specified in accordance with a persona provided by the artificial intelligence model.
20. The method of claim 1 , wherein the one or more processors are further configured to communicate the one or more simulated phishing communications using a type of simulated phishing communication identified by the artificial intelligence model.