US 12,001,550 B1
Cybersecurity incident response techniques utilizing artificial intelligence
Alon Schindel, Tel Aviv (IL); Barak Sharoni, Tel Aviv (IL); Amitai Cohen, Kfar Saba (IL); Ami Luttwak, Binyamina (IL); Roy Reznik, Tel Aviv (IL); and Yinon Costica, Tel Aviv (IL)
Assigned to WIZ, INC., New York, NY (US)
Filed by Wiz, Inc., New York, NY (US)
Filed on Sep. 14, 2023, as Appl. No. 18/466,882.
Application 18/466,882 is a continuation in part of application No. 18/457,054, filed on Aug. 28, 2023.
Int. Cl. G06F 21/55 (2013.01); G06F 16/2452 (2019.01)
CPC G06F 21/552 (2013.01) [G06F 16/24522 (2019.01)] 17 Claims
OG exemplary drawing
 
1. A method for providing cybersecurity incident response, comprising:
providing a received incident input into a large language model (LLM);
mapping the received incident input into a scenario of a plurality of scenarios, each scenario including a plurality of sub-scenarios, based on an output of the LLM;
receiving a user input through a user interface, the user interface configured to render a graphical representation of a group of sub-scenarios of the plurality of sub-scenarios;
selecting a sub-scenario based on the received user input;
generating a query based on the received incident input and a selection of a sub-scenario of the plurality of sub-scenarios;
executing the query on a security database, the security database including a representation of a computing environment; and
initiating a mitigation action based on a result of the executed query.