A method for processing security events by applying a rule-based alarm scheme may be provided. The method includes generating a rule index of rules and an indicator of compromise index for each of the rules. The method includes also processing the incoming security event by applying the rules, increasing a current rule counter relating to a triggered rule, and increasing a current indicator of compromise counter pertaining to the triggered rule. Furthermore, the method includes generating a pseudo security event from received data about known attacks and related indicators of compromise, processing the pseudo security events by sequentially applying the rules, increasing a current rule counter of pseudo security events, and increasing a current indicator of compromise counter for pseudo security events, and sorting the rules and sorting within each rule the indicator of compromise values in the indicator of compromise index.

An apparatus includes a memory and a hardware processor. The memory stores a plurality of logging rules. Each logging rule assigned to a tier of a multi-tier platform. The processor receives source code for an application configured to execute on a plurality of tiers of the multi-tier platform and detects, within the source code, an entry point and an exit point for a tier of the plurality of tiers. The processor determines, based on the plurality of logging rules, a first attribute that is to be logged during execution in the tier and a second attribute that is not to be logged during execution in the tier and inserts, between the entry point and the exit point in the source code, logging code that, when executed, logs the first attribute and hides the second attribute.

Immersive web-based simulator for digital assistant-based applications is provided. A system can provide, for display in a web browser, an inner iframe configured to load, in a secure, access restricted computing environment, an application configured to integrate with a digital assistant. The application can be provided by a third-party developer device. The system can provide, for display in a web browser, an outer iframe configured with a two-way communication protocol to communicate with the inner iframe. The system can provide a state machine to identify a current state of the application loaded in the inner frame, and load a next state of the application responsive to a control input.

An information processing apparatus includes: an operating unit capable of recognizing a peripheral apparatus. The operating unit includes: a first recognizing unit configured to recognize, when a peripheral apparatus is connected to the operating unit and identification information about the connected peripheral apparatus is included in peripheral apparatus information including predetermined identification information, the connected peripheral apparatus as a first peripheral apparatus; and a second recognizing unit configured to recognize, when a peripheral apparatus is connected to the operating unit and the identification information about the connected peripheral apparatus is not included in the peripheral apparatus information, the connected peripheral apparatus as a second peripheral apparatus.

A computing system is configured to derive insights related to asset operation and present these insights via a GUI. To these ends, the computing system (a) receives data related to the operation of assets, (b) based on this data, derives a plurality of insights related to the operation of at least a subset of the assets, (c) from the insights, defines a given subset of insights to be presented to a user, (d) defines at least one aggregated insight representative of one or more individual insights in the given subset of insights that are related to a common underlying problem, and (e) causes the user's client station to display a visualization of the given subset of insights including (i) an insights pane that provides a high-level overview of the subset of insights and (ii) a details pane that provides additional details regarding a selected one of the subset of insights.

Techniques for implementing rollback of infrastructure changes in an infrastructure orchestration service are described. In certain examples, an infrastructure orchestration service is disclosed that manages both provisioning and deploying of infrastructure assets within a cloud environment. The service receives a plan comprising a set of instructions associated with a set of infrastructure assets of an execution target and identifies a first state of the set of infrastructure assets. The service executes the set of instructions in the plan to achieve a second state for the set of infrastructure assets. Based in part on the executing, the service receives a trigger for rolling back the plan to restore the set of infrastructure assets in the plan to the first state and executes a rollback plan for the plan. The service then transmits a result associated with the execution of the rollback plan.

Systems and methods are disclosed herein for recommending solutions to execution errors of software packages. An error message related to compilation or execution of computer code is received and, based on a vector representation of the error message and vector representations corresponding to message threads from one or more collaborative messaging systems, a set of message threads that match the error message is identified. Furthermore, a known error message that matches the set of message threads is identified and updated computer code is generated based on the known error message. The updated computer code is then provided to a client device.

The present disclosure relates to systems, non-transitory computer-readable media, and methods for classifying an input image utilizing a classification model conditioned by a generative model and/or self-supervision. For example, the disclosed systems can utilize a generative model to generate a reconstructed image from an input image to be classified. In turn, the disclosed systems can combine the reconstructed image with the input image itself. Using the combination of the input image and the reconstructed image, the disclosed systems utilize a classification model to determine a classification for the input image. Furthermore, the disclosed systems can employ self-supervised learning to cause the classification model to learn discriminative features for better classifying images of both known classes and open-set categories.

A method for execution by a storage network begins by issuing a decode threshold number of read requests for a set of encoded data slices to a plurality of storage units of a set of storage units and continues by determining whether less than a decode threshold number of read requests has been received in a time window. The method continues by identifying one or more encoded data slices encoded data slices associated with read requests of the decode threshold number of read requests that have not been received and for an encoded data slice of the one or more encoded data slices, issuing a priority read request to a storage unit storing a copy of the encoded data slice. The method then continues by receiving a response from the storage unit storing the copy of the encoded data, where the storage unit storing the copy of the encoded data slice is adapted to delay one or more maintenance tasks in response to the priority read request.

Embodiments are directed to a method and system of forecasting a disk drive survival period in a data storage network, by obtaining operating system data and manufacturer data for the disk drive to create a dataset, screening the dataset to identify a number of features to be selected for model creation, wherein the data set includes censored data and non-censored data, and performing, in an analytics engine, semi-parametric survival analysis on the data set using transfer learning on the model to provide a time-based failure prediction of the disk drive. A graphical user interface provides to a user the failure prediction in one of text form or graphical form.