Abstract: A method for access management in graph-based model is provided. The graph-based model comprises a plurality of nodes and an overlay structure comprising processing logic. The overlay structure is associated with one or more nodes of the plurality of nodes. Processing circuitry determines a first node group of the graph-based model. The first node group comprises at least one node. The processing circuitry associates a first contract with the first node group such that the first contract is configured to act as a proxy for one or more nodes within the first node group in relation to requests from outside the first node group. The processing circuitry receives a stimulus and a context associated therewith. The stimulus is associated with the first contract. The processing circuitry maps the stimulus to the first contract to determine an access response. The processing circuitry processes the stimulus based on the access response.

Abstract: A method for dynamic execution of sub-graphs within executable graph-based models is provided. Processing circuitry obtains an executable graph-based model comprising a plurality of sub-graphs and an overlay structure comprising processing logic associated with the plurality of sub-graphs. Each sub-graph defines a hierarchical structure of related nodes. The processing circuitry receives a stimulus and a context associated with the stimulus. In response to the stimulus being received and based on the context, the processing circuitry maps the stimulus to a first sub-graph of the executable graph-based model. The processing circuitry causes execution of processing logic within the overlay structure based on the mapping. The processing logic is associated with one or more nodes of the first sub-graph.

Abstract: The present disclosure relates to surveillance system and method for detecting violation by driver in vehicle. The surveillance system comprises capturing unit for capturing license information of driver of the vehicle, upon start of the vehicle. Further, the surveillance system comprises processor configured to receive the license information of the driver from the capturing unit. Further, the processor is configured to receive continuous data related to the vehicle from one or more sensors in the vehicle. Furthermore, the processor is configured to detect occurrence of violation, of one or more pre-defined driving guidelines, based on monitoring the data related to the vehicle and the license information. Information related to the violation and the license information of the driver is transmitted to one or more external entities for taking actions against driver of the vehicle.

Abstract: A computer aided method of configuring a smart assistant for domain specific self-service; comprising receiving, through a user interface, a predefined domain specific dataset; generating, by a training engine, a set of positive and negative samples in equal ratio; validating the predefined dataset to remove a set of ambiguous data entries; indicating, a numerical representation and a query representation for the predefined dataset; creating a Domain representation using multiple connected layers and use it to process FAQ to understand the best contextual representation; identifying, an accuracy of the configured model by matching with ground truth labels and assigning a confidence score to each entry in the predefined domain specific dataset by creating a Domain representation using multiple connected layers and use it to process FAQ to understand the best contextual representation.

Abstract: A system for executing a search in a dataset is provided. The system includes a storage element that stores a directed property graph derived from the dataset. The directed property graph includes entity vertices corresponding to entities of the dataset, edges corresponding to properties of the entities, and value vertices corresponding to data values of the properties. Each edge couples an entity vertex to a value vertex and includes a label indicating an association therebetween. The system further includes processing circuitry that receives a search query including a reference value. The processing circuitry identifies a value vertex having a data value that is associated with the reference value and generates a response to the search query based on labels of edges coupled to the value vertex, and entities of the dataset represented by entity vertices coupled to the value vertex by way of the edges.

Abstract: A method and/or system for template agnostic document reader for automated extraction of data from documents is disclosed, wherein the kernel values are extracted from document image using which horizontal lines and vertical lines are determined in the document image. The horizontal lines are determined by extracting pixel values representing character width in the document image. The area of intersecting horizontal and vertical lines in the image is identified as tabular section and tabular data is extracted. The area in the document image with text and horizontal lines and absence of vertical lines are identified as forms section and forms data is extracted. The area in the document image without any horizontal lines and vertical lines and with similar line spacing are identified as paragraph section and paragraph data is extracted.

Abstract: The disclosure relates to system and method for exchanging data between data processing systems. The method includes receiving, from a second data processing system by a first data processing system, a data trigger associated with an event within the second data processing system. The first data processing system employs first symmetric keys for data communication and the second data processing system employs second symmetric keys for data communication. The first symmetric keys are distinct from the second symmetric keys. The data trigger is received without application of the second symmetric keys. The method further includes transmitting by the first data processing system to the second data processing system, a data snippet. The data snippet is representative of a data superset within the first data processing system corresponding to the data trigger. The data snippet is transmitted without application of the first symmetric keys.

Abstract: A method for access management in graph-based model is provided. The graph-based model comprises a plurality of nodes and an overlay structure comprising processing logic. The overlay structure is associated with one or more nodes of the plurality of nodes. Processing circuitry determines a first node group of the graph-based model. The first node group comprises at least one node. The processing circuitry associates a first contract with the first node group such that the first contract is configured to act as a proxy for one or more nodes within the first node group in relation to requests from outside the first node group. The processing circuitry receives a stimulus and a context associated therewith. The stimulus is associated with the first contract. The processing circuitry maps the stimulus to the first contract to determine an access response. The processing circuitry processes the stimulus based on the access response.

Abstract: This disclosure relates to method and system for generating user role-specific responses through Large Language Models (LLMs). The method includes receiving a user query from a user account. The user account is associated with a user role from a plurality of user roles. The method includes combining, based on the user role, the user query with contextual information corresponding to the user query to obtain a combined query. The method includes inputting the combined query to an LLM. The method includes generating a user role-specific response corresponding to the combined query through the LLM. The method includes rendering the user role-specific response to a display of a user device associated with the user account.

Abstract: This disclosure relates to a method and a system for managing extensions of a product. The method includes determining a set of extensions associated with the product. The set of extensions includes a set of existing extensions and a set of potential extensions. The method further includes receiving a user selection corresponding to an extension from the set of extensions. The method further includes comparing the extension with the set of existing extensions. The method further includes generating a boilerplate code assembly corresponding to the extension in response to comparing. The boilerplate code assembly is generated based on a definition language template, and a business logic.

Abstract: The disclosure relates to system and method for managing a plurality of applications. The method includes receiving a first input for customization of a master map associated with the plurality of applications. The master map includes a plurality of components and a set of control settings for each of the plurality of components. The method further includes modifying, in the master map, a status of a first control setting for a first component based on the first input; updating each of the plurality of applications based on the modified status of the first control setting in the master map; and modifying a configuration code associated with the each of the plurality of applications, based the update in each of the plurality of applications.

Abstract: An overlay system is provided that includes a plurality of storage elements and processing circuitry coupled thereto. The plurality of storage elements store a plurality of executable graph-based models such that first and second storage elements store first and second executable graph-based models, respectively. Each executable graph-based model includes a plurality of nodes. The processing circuitry receives a stimulus to share a first node of the first executable graph-based model with a second node of the second executable graph-based model. The processing circuitry instantiates a tenant overlay node that is associated with the second node and includes a set of constraints to be adhered to by the second node while sharing the first node. The processing circuitry creates a sharing channel as a medium between the first and second storage elements. The sharing channel and the tenant overlay node enable sharing of the first node with the second node.

Abstract: The disclosure relates to method and system for hyper-localization of an application. The method includes obtaining a first page associated with the application. The first page includes at least one element. The method includes receiving user input corresponding to the at least one element associated with the first page for a first predefined locale of a plurality of locales. Each of the plurality of locales includes at least one of a geography and a language. The method includes associating the first page with a hyper-localization database. The hyper-localization database includes information corresponding to the at least one element of a plurality of pages for the plurality of locales. The method includes extracting data associated with the at least one element based on the user input from the hyper-localization database; and generating a second page for the first predefined locale based on the extracted data and a schema of the first page.

Abstract: This disclosure relates to a method and system for sanitization of sensitive data. The method includes analyzing sensitive data present within a page of an application based on a deterministic algorithm. Further, the method includes classifying the sensitive data into a high risk sensitive data and a low risk sensitive data based on a ML classification algorithm. For the one or more sensitive data classified as the high risk sensitive data, the method further includes performing a destructive sanitization on each of the high risk sensitive data. For the one or more sensitive data classified as the high risk sensitive data, the method further includes performing a non-destructive sanitization on each of the high risk sensitive data.

Abstract: An overlay system including a storage element and processing circuitry is provided. The storage element stores an executable graph-based model that includes various active nodes and various micro-overlay nodes. Further, each active node includes multiple node elements, where each micro-overlay node is associated with at least one node element, and extends the functionality of the corresponding node element. The processing circuitry receives a contextualized stimulus. Further, the processing circuitry identifies an active node, node elements of the active node associated with the processing of the contextualized stimulus, and one or more micro-overlay nodes associated with each identified node element. The processing circuitry executes an operation associated with the contextualized stimulus based on the identified node elements and one or more micro-overlay nodes associated with each identified node element.

Abstract: The disclosure relates to method and system for generating contextual thumbnail previews. The method includes extracting data associated with a project including at least one component. The data includes one or more breakpoints, and one or more locales defined for the at least one component of the project. The method further includes generating a contextual map based on the data received; generating one or more interim thumbnails based on the contextual map; mapping the one or more interim thumbnails with pre-stored thumbnails within a database through a Machine Learning (ML) model; generating a consolidated contextual map based on the contextual map and the mapping; and generating one or more final thumbnails corresponding to the contextual thumbnail previews based on the consolidated contextual map.

Abstract: A system comprises an executable graph-based model. The executable graph-based model comprises a first overlay node. The first overlay node comprises processing logic that is operable to interact with one or more associated nodes of the executable graph-based model. Further, the executable graph-based model comprises a first node that has the first overlay node associated therewith. The system further comprises a processing unit configured to receive a first stimulus associated with the first overlay node and, in response to the first stimulus being received, cause execution of said processing logic of the first overlay node. Execution of said processing logic of the first overlay node is based on the first node.

Abstract: This disclosure relates to method and system for legacy network transformation. The method includes receiving data corresponding to a legacy WAN from one or more data sources. Further, the method includes analyzing the data to identify one or more transformation requirements for the legacy WAN, based on one of a statistical technique, or a machine learning technique. Further, the method includes determining one or more configuration parameters corresponding to the legacy WAN based on a set of pre-defined business policy rules and the one or more transformation requirements. Further, the method includes generating a high-level design for SD-WAN based on the one or more transformation requirements and the one or more configuration parameters. Further, the method includes generating a low-level design including configuration guidelines templates for the SD-WAN based on the high-level design. Each configuration guidelines template may facilitate the transformation of legacy WAN to the SD-WAN.

Abstract: The disclosure relates to a method and system for dynamically mitigating threats of generative Artificial Intelligence (AI) models. Conventional systems often suffer from inefficiencies due to sequentially applying threat detection checks leading to unnecessary preprocessing and increased computational demands. Additionally, such systems typically focus only on input data, neglecting potential threats in outputs. The disclosed system and method addresses these drawbacks by employing a hierarchical structure of macro and nano classifiers. The system utilizes macro classifiers for broad initial threat categorization followed by specialized nano classifiers for detailed analysis of specific threat subtypes, thereby optimizing processing time and computational resources. The system operates in real time, applying predefined moderation rules to both input and output data to ensure comprehensive threat mitigation.

Abstract: An overlay system is provided that includes a storage element and processing circuitry coupled thereto. The storage element stores an executable graph-based model including a plurality of nodes, a plurality of rule overlay nodes, and a plurality of data analysis overlay nodes. The processing circuitry receives a stimulus indicative of a data analysis operation and identifies a first node, a rule overlay node associated with the first node, and a data analysis overlay node associated with the first node. The processing circuitry executes a set of rules associated with the rule overlay node on a composition of the first node to generate a set of outputs. The data analysis overlay node uses the set of outputs to determine whether a data analysis score associated with the first node exceeds a data analysis score threshold.