Abstract: Cyber-threats related to an IT system may be detected by: acquiring an event sequence comprising a plurality of network related events from the IT system occurring over some time period; obtaining, corresponding to the event sequence, a corresponding tokenized event sequence comprising a plurality of corresponding tokenized events by tokenizing the plurality of network related events; embedding each corresponding tokenized event with a corresponding positional embedding and a corresponding event embedding to obtain a corresponding positionally-embedded and event-embedded tokenized event sequence; detecting, by a pre-trained log foundation model trained on network related logs, based on the corresponding positionally-embedded and event-embedded tokenized event sequence, one or more anomalies associated with the one or more network related events, wherein the anomalies are detected based on output embeddings in the pre-trained log foundation model; and outputting anomaly information indicative of the one or mor

Abstract: Systems and methods for generating personalized solution recommendations for a user problem. Such a method includes (i) receiving an error indication from a user associated with an account profile including user account data; (ii) retrieving, based on the error indication, an information resource of a plurality of information resources; (iii) inferring, based on the user account data, a problem associated with the information resource and the account profile; (iv) generating, using a trained machine learning model, an information resource summary for the information resource by using the information resource and the inferred problem as inputs to the trained machine learning model; (v) determining whether one or more metrics associated with the information resource summary meet one or more quality criteria; and (vi) training the trained machine learning model based on (a) whether the one or more metrics meet the one or more quality criteria and (b) the information resource summary.

Abstract: A result is generated, using a data processing or computational system, in response to a user-provided or user-indicated input expression. The result is displayed, or caused to be displayed, on a display device. The result is analyzed, and, based on the analysis of the result, one or more further data processing or computational actions that the user will perform on the result are predicted. A user interface mechanism is generated to facilitate performing the predicted one or more further data processing or computational actions or to facilitate viewing one or more further results generated in response to one or more of the predicted further data processing or computational actions. The user interface mechanism is displayed or caused to be displayed on the display device.

Abstract: A result is generated, using a data processing or computational system, in response to a user-provided or user-indicated input expression. The result is displayed, or caused to be displayed, on a display device. The result is analyzed, and, based on the analysis of the result, one or more further data processing or computational actions that the user will perform on the result are predicted. A user interface mechanism is generated to facilitate performing the predicted one or more further data processing or computational actions or to facilitate viewing one or more further results generated in response to one or more of the predicted further data processing or computational actions. The user interface mechanism is displayed or caused to be displayed on the display device.