Abstract: An AI platform to enable one or more users to design and create AI enabled applications is provided. The AI platform comprises a data module configured to condition data received from a plurality of data sources to generate a corresponding data pipeline; wherein the data module comprises a plurality of reusable data components. The AI platform further comprises an intelligent processing module configured to process a plurality of datasets received on the data pipeline and generate a corresponding artificial intelligence (AI) pipeline; wherein the intelligent processing module comprises a plurality of reusuable data processing components.

Abstract: Disclosed is a method and a system for using techniques to stitch cybersecurity, generate network risks and predictive mitigations. The method includes collecting data from several data sources and labeling events. The method includes creating a profile for each entity observed in the data with the behavior of the profile determined through the analytical analysis of the events in which the entity participates including the transference of labels from events to the entity. One or more profiles of an organization are identified that have changed and the change is processed using specific attack sequence detection to identify one or more risks associated with each profile. The method further includes notifying one or more users associated with the one or more profiles based on the one or more risks.

Abstract: Disclosed is a method and a system for detecting and managing phishing attack. The security product of the present invention enables a user to look at the activity of any other user and all of their owned devices before and after a phishing attack targeted at that user. The present invention also enables the user to look at the activity of the infrastructure and determine if an attack has occurred and what is the impact of that attack. The present invention also enables the user to view various attacks on their infrastructure.

Abstract: Disclosed is a method and a system for using techniques to stitch cybersecurity, generate network risks and predictive mitigations. The method includes collecting data from several data sources and labeling events. The method includes creating a profile for each entity observed in the data with the behavior of the profile determined through the analytical analysis of the events in which the entity participates including the transference of labels from events to the entity. One or more profiles of an organization are identified that have changed and the change is processed using specific attack sequence detection to identify one or more risks associated with each profile. The method further includes notifying one or more users associated with the one or more profiles based on the one or more risks.

Abstract: An AI platform to enable one or more users to design and create AI enabled applications is provided. The AI platform comprises a data module configured to condition data received from a plurality of data sources to generate a corresponding data pipeline; wherein the data module comprises a plurality of reusable data components. The AI platform further comprises an intelligent processing module configured to process a plurality of datasets received on the data pipeline and generate a corresponding artificial intelligence (AI) pipeline; wherein the intelligent processing module comprises a plurality of reusuable data processing components.

Abstract: Embodiments of enhancing API servicing schemes are disclosed. A set of proxy code associated with servicing the API requests of an application is analyzed during development time to determine if any portion can be modified to improve the service scheme, prior to executing the set of proxy code in a runtime. After the set of proxy code is deployed in a runtime environment, performance data associated with the current service scheme is collected and periodically used to determine whether the service scheme for the API requests of the application is to be updated.

Abstract: Disclosed is a method and a system for AI-driven & AI-optimized decisions, actions, & workflows in process operations. The system has the ability to create, update, process, and link tickets automatically. The system can also automatically determine the transactions that should be converted into tickets. The system further processes any generated or created tickets through a set of AI models designed to produce classifications for tickets in real time and appends the AI driven classifications to the tickets. The system can analyze the content of the ticket and assign the ticket automatically to the appropriate ticket queue that is owned by a user or team.

Abstract: Disclosed is a method and a system a method and a system for auto learning, artificial intelligence (AI) applications development, and execution. Various applications or operations may be associated with training environment-agnostic AI models, automated AI app application performance monitoring, fault, quality and performance remediation through prediction of failures or suboptimal performance, privacy and secure AI training and inference mechanism for data and AI model sharing between untrusted parties, and building auto learning applications that can automatically learn and improve.

Abstract: Embodiments of enhancing API servicing schemes are disclosed. A set of proxy code associated with servicing the API requests of an application is analyzed during development time to determine if any portion can be modified to improve the service scheme, prior to executing the set of proxy code in a runtime. After the set of proxy code is deployed in a runtime environment, performance data associated with the current service scheme is collected and periodically used to determine whether the service scheme for the API requests of the application is to be updated.

Abstract: A method is provided for detecting irregularities of one or more application programmer interface (API) entities. The method includes receiving a request for data of one or more API entities. The method further includes monitoring said data from at least one server and detecting irregularities in the data. The method also includes displaying information pertaining to the irregularities to a user.

Abstract: A method is provided for detecting irregularities of one or more application programmer interface (API) entities. The method includes receiving a request for data of one or more API entities. The method further includes monitoring said data from at least one server and detecting irregularities in the data. The method also includes displaying information pertaining to the irregularities to a user.

Abstract: A method is provided for monitoring and reporting data of one or more application programmer interface (API) entities. The method includes receiving a request for usage data of one or more API entities. The method further includes monitoring said usage data from at least one server. The method also includes displaying information pertaining to said monitored usage data.

Abstract: The invention relates to novel betulinic acid derivatives of formula (I), wherein R is C(?CH2) CH3 or CH(CH3)2; R2 together with the adjacent carbonyl group forms a carboxylic acid, carboxylic acid ester or amide or substituted amide; R3 or R4 are hydrogen or aryl with the proviso that both are not independently hydrogen or alkyl or R3 and R4 are combined together to form an aryl ring optionally substituted with a group X, wherein X is selected from halogen, alkyl, cyano, nitro, alkoxy, amino or substituted amine; Y is N or O; and R1 is zero when Y is O, and R1 is hydrogen, alkyl or aryl alkyl when Y is N, useful for inhibition of tumor cancer cells.

Abstract: Embodiments of message organization and spam filtering based on user interaction are presented herein. In an implementation, user interaction with a plurality of messages in a user interface is monitored, which includes analyzing an amount of time spent by a user in interacting with each message. Subsequent messages may then be filtered based on the monitored user interaction. In another implementation, messages are processed that are received via a network using a spam filter that was generated based on monitored interaction of a user with previous messages. The processing results in a value describing a relative likelihood of importance of each of the processed message to the user. The processed messages are then arranged for display in an order, one to another, in a user interface based on respective values.

Abstract: A dielectric resonator is disclosed. In one embodiment, the resonator includes i) a conductive case having a plurality of walls which together define an inner space, ii) a substrate placed at the bottom of the conductive case, and iii) a cylindrical dielectric resonator unit, mounted centrally on the substrate having a central longitudinal axis. The cylindrical dielectric resonator unit includes a dumbbell shaped hole located centrally in the resonator unit extending from a top to a bottom of the resonator unit. In one embodiment, the dumbbell shaped hole includes i) a top layer, ii) a bottom layer and iii) an intermediate layer sandwiched between the top and bottom layers. In one embodiment, the substrate and resonator unit are enclosed inside the conductive case.