Abstract: In an approach for multifactor authorization on hardware calls of resources, a processor receives a request for a hardware resource from a plurality of hardware resources being monitored. A processor calculates a risk level associated with the hardware resource of the request based on a respective risk level data repository. A processor, in response to a determination the risk level requires multifactor authorization, determines that a user associated with the request is logged in. A processor identifies a mechanism used by the user to log in. A processor determines whether a challenge associated with the multifactor authorization based on the mechanism is successful. A processor, in response to a determination the challenge associated with the multifactor authorization is successful, enables access to the hardware resource of the request.

Abstract: A method comprises receiving moisture sensor data from at least one moisture sensor located in a device. The at least one moisture sensor is configured to detect moisture on a surface of the device. The method also comprises determining a likelihood of the device slipping from a grip of a user based on the received moisture sensor data; and altering a surface profile of a surface panel of the device based on the determined likelihood of the device slipping from the grip of the user.

Abstract: A computer implemented method is provided that includes using historic migration data to label key performance indicators (KPIs) in a migration model including a scale that indicates a level of successful migration to a remote provider. Employing the migration model to predict successful migration of a local application having one or more of said one or more of local key performance indicators for the local application. Migrating the local application to a remote provider when the model to predict successful migration indicates a greater than threshold value for successful migration.

Abstract: A random password policy for a specific user associated with an entity is generated based on a global password requirement. A new password created by the specific user based on the generated random password policy is identified. That the new password complies with a set of requirements specified by the generated random password policy is confirmed.

Abstract: A computer-implemented method includes: connecting, by a computing device, to a database using an outbound connection, wherein the computing device is an information technology (IT) product in a private network and the database is outside the private network; receiving, by the computing device, a response from the database, the response including a command; executing, by the computing device, the command; and sending, by the computing device, result data to the database, wherein the result data is data that results from executing the command on the computing device.

Abstract: A computer implemented method for generating a dispatch datagram is disclosed. The computer implemented method includes receiving, at a dispatcher, a request from a client. The method further includes generating an authorization header based on the received request. The authorization header includes one or more rules for handling the request. The method further includes wrapping the received request and the generated authorization header together to generate a dispatch datagram.

Abstract: A method includes: determining, by a videoconference server, a level of tolerated risk for a videoconference between a presenter and an attendee; obtaining, by the videoconference server, sensor data from at least one sensor at a location where a user device of the attendee displays the videoconference; generating, by the videoconference server, a current risk score based on the sensor data; determining, by the videoconference server, the current risk score exceeds the level of tolerated risk; and presenting, by the videoconference server and in response to the determining the current risk score exceeds the level of tolerated risk, an alert to the presenter of the videoconference.

Abstract: A method, system, and computer program product for implementing container runtime optimization and execution is provided. The method includes enabling a container management instance and a container runtime comprising specified operational attributes associated with a container. Supervisor tree code is embedded within the container runtime and definition software is executed. The definition software describes specified digital endpoints of an associated application process being executed by the container. The container is enabled for operational functionality and an external interface is enabled for communications with the supervisor tree code. The container management instance is executed in response to a command received via the external interface.

Abstract: Updating a user social network profile of a user based on relevant activities posted by other users in a same social network.

Abstract: Technology for setting a first password based on a password precursor or setting a second password (in a multi-factor authentication system). The password precursor (for example, a number or alphanumeric string) can be converted to the first password by a set of operation(s). Similarly, the first password can be converted into a second password by a set of operations. The set of operations may include mathematical operations and/or alphanumeric string operations.

Abstract: Aspects of the present invention disclose a method, computer program product, and system for detecting a malicious process by a selected instance of an anti-malware system. The method includes one or more processors examining a process for indicators of compromise to the process. The method further includes one or more processors determining a categorization of the process based upon a result of the examination. In response to determining that the categorization of the process does not correspond to a known benevolent process and a known malicious process, the method further includes one or more processors executing the process in a secure enclave. The method further includes one or more processors collecting telemetry data from executing the process in the secure enclave. The method further includes one or more processors passing the collected telemetry data to a locally trained neural network system.

Abstract: A computer-implemented method includes: monitoring, by a computing device, outputs of sensors associated with a machine that receives magnetic stripe cards; in response to the monitoring, detecting, by the computing device, the output of at least one of the sensors indicates an event; in response to the detecting the event, determining, by the computing device, a number of the sensors whose output indicates a respective event during a predefined time period; selecting, by the computing device, a security action from a plurality of predefined security actions based on the determined number of the sensors whose output indicates a respective event during the predefined time period; and initiating, by the computing device, the security action.

Abstract: Methods, computer program products, and systems are presented. The method computer program products, and systems can include, for instance: obtaining an audio input, the audio input representing sound emanating from a key press based user interface; generating a context pattern based on the audio input; performing classification of the context pattern to classify the context pattern as belonging to a signature pattern classification, wherein the signature pattern classification specifies a user activity; and providing an output based on the performing classification.

Abstract: According to one embodiment, a method, computer system, and computer program product for provisioning a tag schema. The embodiment may include determining data types for tag-keys within an existing ecosystem of tags. Each tag of the existing ecosystem comprises a tag-key and a tag-value. The embodiment may include performing pairwise clustering of the tags within the ecosystem. The embodiment may include identifying a main tag-key within each cluster of tags. The embodiment may include grouping the clusters into a broader category. The embodiment may include providing a tag schema recommendation for the ecosystem based on the grouped clusters.

Abstract: Orchestrated disaster recovery is provided in which replication volumes are automatically configured as part of a failover procedure. An example method includes obtaining replication volume configuration information identifying configuration of a replication volume in a data replication relationship in which data is replicated from a replication source to a replication target. The replication volume is configured for the replication source and replication volume remains at least partially non-configured for the replication target during data replication from the replication source to the replication target. Based on an indication of failover, the obtained configuration information is used in automatically configuring the replication volume for the replication target in preparation for use by application(s) of the replication target site. Automatically configuring includes configuring, for the replication volume, a volume group and a mount point.

Abstract: A computer-implemented method includes: receiving, by a computing device, text extracted from a webpage in a browser and a Uniform Resource Locator (URL) of a linked webpage associated with the text; generating, by the computing device, questions based on the text; retrieving, by the computing device, content of the linked webpage using the URL; generating, by the computing device, answers to the questions using the retrieved content; and returning, by the computing device, the questions and the answers to the browser such that the browser displays the questions and the answers in the webpage.

Abstract: Methods, computer program products, and systems are presented. The method computer program products, and systems can include, for instance: receiving, by a manager node, from a plurality of compute nodes metrics data, the manager node and the plurality of compute nodes defining a first local cluster of a first computing environment, wherein nodes of the compute nodes defining the first local cluster have running thereon container based applications, wherein a first container based application runs on a first compute node of the plurality of compute nodes defining the first local cluster, and wherein a second compute node of the plurality of compute nodes defining the first local cluster runs a second container based application; wherein the manager node has received from an orchestrator availability data specifying a set of compute nodes available for hosting the first application.

Abstract: Methods, computer program products, and systems are presented. The methods include, for instance: creating a log data specific lexicon based on log data samples, each word in the log data specific lexicon corresponding to a weighted sentiment score with a binary polarity. A log message is obtained, and a sentiment value of the log message is assigned based on respective weighted sentiment scores of words appearing in the log message. The log message is classified for a class indicating an issue the log message addresses. An alert type for the log message is determined based on the sentiment value, the class, and a priority of the log message, and a system alert including a set of key performance indicators according to the alert type is produced to a user.

Abstract: A computer-implemented method to schedule special containers using a multi-queue scheduler. The method includes receiving, by a scheduler, a first pod including a first container including a first queue, a second queue, an event handler, and an error handler. The method further includes obtaining a set of characteristics for the first pod and determining that the first pod is a special pod. The method includes adding the first pod to the first queue, wherein the first queue is a special queue and includes a special function. The method also includes initiating the special function. The method further includes assigning, based on one or more placement rules, the first pod to a first node of a plurality of nodes.

Abstract: Disclosed embodiments provide techniques for log file manipulation detection. Log file terms are identified in a set of known good log files. A frequency metric is computed for the log file terms, and one or more clusters are formed that represent the terms and their corresponding frequency metric values within the set of known good log files. New log files are then obtained from an operational computer system. The frequency metric for those terms in the new log files are computed, and checked against the established clusters. A score is computed based on how similar the new log files are to the set of known good log files by comparing the frequency metric for terms in the new log file to the data in the previously obtained cluster(s). In response to a score exceeding a predetermined threshold, one or more mitigation actions are taken.