Abstract: Techniques and systems for a security service system configured with a sensor component including a machine learning (ML) malware classifier to perform behavioral detection on host devices. The security service system may deploy a sensor component to monitor behavioral events on a host device. The sensor component may generate events data corresponding to monitored operations targeted by malware. The system may map individual events from events data onto a behavioral activity pattern and generate process trees. The system may extract behavioral artifacts to build a feature vector used for malware classification and generate a machine learning (ML) malware classifier. The sensor component may use the ML malware classifier to perform asynchronous behavioral detection on a host device and process system events for malware detection.

Abstract: Techniques for aggregating data usable for generating security recommendations are discussed herein. A system can aggregate detection data from host devices associated with different organizations based on profile information describing each organization. The system can analyze the aggregated data to identify potential security threats in a data stream, and generate recommendation data usable for defending the data stream from future malicious events.

Abstract: A feature vector is created that comprises a plurality of values, each representing a corresponding portion of a filename extension for a digital file. During an inference workflow of a neural network model, an embedding vector is created that represents, in a meaningful way, the feature vector for the filename extension. A class label prediction value is then computed, based on an evaluation of the embedding vector, a first plurality of embedding vectors representing a plurality of feature vectors for a plurality of benign filename extensions, and a second plurality of embedding vectors representing a plurality of feature vectors for a plurality of malicious filename extensions. A prediction as to whether the digital file has been renamed by a malicious computer program is made, based on the class label prediction value.

Abstract: Novel fusion molecules and uses are disclosed.

Abstract: A cover includes a housing and a slider. The housing defines a first window. The slider is moveably connected to the housing and defines a second window. The first window and the second window are aligned when the slider is in a first position relative to the housing and misaligned when the slider is in a second position relative to the housing.

Abstract: A turbine engine assembly including a first rotor element and a second rotor element extending around a longitudinal axis X and coupled to one another by a gear coupling, the first rotor element including teeth and the second rotor element including complementary teeth which extend along the longitudinal axis and form the gear coupling. The first and second rotor elements each include a first and a second radial flange which are annular and arranged facing one another, and the assembly includes a sealing device configured to ensure that the gear coupling is sealed at the first and second flanges.

Abstract: The present disclosure relates to certain AHR agonist compounds, their method of making, and to pharmaceutical compositions comprising the compounds and to methods of using the compounds to treat immune-mediated diseases, such as psoriasis and atopic dermatitis.

Abstract: An enterprise inventory management system, and methods of use thereof, utilizing novel functionalities. The system includes a centralized global inventory database subsystem for cataloging a plurality of inventory items from a plurality of remote physical locations, each of the items identified by at least a unique identification code; and, a plurality of localized radio frequency identification (RFID) interrogator subsystems associated with a corresponding plurality of remote physical locations, wherein each of the localized RF interrogator subsystems is operative to read RFID tags associated with ones of the plurality of inventory items located at its associated physical location, wherein each of the RFID tags is programmed with at least a unique identification code for its associated item.

Abstract: Methods and systems for multi-cloud breach detection using ensemble classification and deep anomaly detection are disclosed. According to an implementation, a security appliance may receive logged event data. The security appliance may determine using a supervised machine learning (ML) model, a first anomaly score representing a first context. The security appliance may further determine using a semi-supervised machine learning (ML) model, a second anomaly score representing the second context, and using an unsupervised ML model, one or more third anomaly scores representing one or more third contexts. The security appliance may aggregate the first anomaly score, the second anomaly score and the one or more third anomaly scores using a classification module to produce a final anomaly score and a final context. The security appliance may determine that an anomaly exists and a type of attack based on the final anomaly score and the final context.

Abstract: Systems and methods provide for implementation of a messaging protocol that provides security necessary for clinical messaging while also providing scalability needed to properly function within a clinical setting. The messaging protocol provides for federation of messages across messaging domains with a direct target address or via a role or group endpoint address that resolves to one or more target addresses. The messaging protocol also provides the ability to include content other than text in messages.

Abstract: A speaker can have a main body with a generally spheroidal shape, which can be supported standing on its end. The speaker can include a subwoofer that faces forward. A plurality of mid-range drivers can be distributed around the sub-woofer, facing generally forward and radially outward. A plurality of tweeters can be distributed around the sub-woofer, facing generally forward and generally outward. The outer housing portion of the speaker can be covered with a fabric material. A user interface ring 162 can be touch sensitive to receive input, and can have a plurality of lights that can be illuminated separately to convey information to the user.

Abstract: Disclosed herein are compounds and compositions for nematode treatment. In particular, disclosed are compounds of formula (I), a method of treating a plant or a growing media for a nematode with compounds of formula (II), compositions, and methods of use.

Abstract: Systems and methods provide for implementation of a messaging protocol that provides security necessary for clinical messaging while also providing scalability needed to properly function within a clinical setting. The messaging protocol provides for federation of messages across messaging domains with a direct target address or via a role or group endpoint address that resolves to one or more target addresses. The messaging protocol also provides the ability to include content other than text in messages.

Abstract: Methods and systems for detecting malicious attacks in a network and preventing lateral movement in the network by identity control are disclosed. According to an implementation, a security appliance may receive telemetry data from an endpoint device collected during a period of time. The security appliance may determine a threat behavior based on the telemetry data. The threat behavior may be associated with a user identity or user account. The security appliance further determines one or more additional user identities based on the user identity connected to the threat behavior. The security appliance may enforce one or more security actions on the user identity and the one or more additional user identities to prevent attacks to a plurality of computing domains from the endpoint device using the one or more additional user identities. The security appliance may be implemented on any network participants including servers, cloud device, cloud-based services/platforms, etc.

Abstract: A distributed security system includes instances of a compute engine that can receive an event stream comprising event data associated with an occurrence of one or more events on one or more client computing devices and generate new event data based on the event data in the event stream. A predictions engine coupled in communication with the compute engine(s) receives the new event data and applies at least a portion of the received new event data to one or more machine learning models of the distributed security system based to the received new event data. The one or more machine learning models generate a prediction result that indicates whether the occurrence of the one or more events from which the new event data was generated represents one or more target behaviors, based on the applying of at least the portion of the received new event data to the one or more machine learning models according to the received new event data.

Abstract: A turbine engine assembly including a first rotor element and a second rotor element extending around a longitudinal axis X and coupled to one another by a gear coupling, the first rotor element including teeth and the second rotor element including complementary teeth which extend along the longitudinal axis and form the gear coupling. The first and second rotor elements each include a first and a second radial flange which are annular and arranged facing one another, and the assembly includes a sealing device configured to ensure that the gear coupling is sealed at the first and second flanges.

Abstract: Disclosed herein are compounds and compositions for nematode treatment. In particular, disclosed are compounds of formula (I), a method of treating a plant or a growing media for a nematode with compounds of formula (II), compositions, and methods of use.

Abstract: Techniques and systems for a security service system configured with a sensor component including a machine learning (ML) malware classifier to perform behavioral detection on host devices. The security service system may deploy a sensor component to monitor behavioral events on a host device. The sensor component may generate events data corresponding to monitored operations targeted by malware. The system may map individual events from events data onto a behavioral activity pattern and generate process trees. The system may extract behavioral artifacts to build a feature vector used for malware classification and generate a machine learning (ML) malware classifier. The sensor component may use the ML malware classifier to perform asynchronous behavioral detection on a host device and process system events for malware detection.

Abstract: The present application relates to monoterpenoid and phenylpropanoid carbonate esters and methods of their making and use as repellents.

Abstract: A fastener assembly is configured to be securely coupled with one or more components. The fastener assembly includes a body including a flange, and a gasket that is secured to the flange. The body is configured to securely couple to a clip. The body includes one or more features that are configured to cooperate with one or more reciprocal features of the clip to increase retention strength.