Abstract: A method for caching and deduplicating a plurality of received segments of data is disclosed. The method comprises identifying a value of a first data field in each segment acting as a unique source identifier; and identifying a value of a second data field in each segment, the second data field being densely populated by values in the plurality of segments. The value of the second data field is partitioned into a first partition comprising more significant bits and a second partition comprising less significant bits. A key is generated based on values of the first data field and the first partition. A database entry associates the first key with a bitmap, the bitmap having a length based on the number of possible values a bitmap of equal length to the second partition could validly take. Single bits of the bitmap are set corresponding to received segments, to enable deduplication.

Abstract: Apparatus and corresponding methods for distributing tasks across various processing devices, such as servers, of a distributed computing environment are disclosed. The embodiments can batch workloads and distribute the tasks to the various processing devices for processing such as to reduce an overall processing time and costs. The embodiments may, additionally or alternatively, monitor actual processing times, and reassign tasks that fail to complete within an expected time frame.

Abstract: Computer-implemented systems and methods provide a better support experience and resolve user configuration issues for firm platforms more quickly. The systems and methods use automated tools that query a selected firm platform for real time data that allows anyone to obtain an up-to-date view of a user's data or configuration for the selected platform.

Abstract: Systems and methods for optimizing the management of resources in Kubernetes clusters are disclosed. An embodiment of the present invention is directed to central dynamic Helm charts, providing a flexible and efficient mechanism for deploying, managing, and updating applications within Kubernetes environments across an entity/platform. By centralizing Helm chart configurations and dynamically adjusting them based on real-time resource metadata, an embodiment of the present invention enhances scalability, reliability, and consistency in Kubernetes deployments. In addition, an embodiment of the present invention provides a Configuration Tool that automates creation of directory structures and YAML files required to perform industry standard deployment patterns with ease.

Abstract: A device, system and method is provided for tracking network communication in a multi-protocol network. During the offline phase, a linkage graph may be generated representing network communication pathways of recorded messages comprising nodes representing network communication devices and edges representing direct communication paths pairwise connecting parent-child nodes over which the messages are transmitted. The linkage graph may be optimized by eliminating or reducing branching nodes. During a real-time online phase, for each new recorded message associated with a device node, tracing a communication pathway along edges of the optimized linkage graph by linking a sequence of nodes that connect sequential pairs of child-parent nodes extending from the device node to a root node. Simultaneous to linking each node to the device node, a network traffic metric for the linked node(s) may be accumulated to quickly and efficiently track the network traffic metric for the new recorded message.

Abstract: A method of dynamically managing network traffic with granular security zones is disclosed. The method includes receiving a data packet from a user device, the data packet including identifying information indicating a sender and a receiver. The method further includes blocking the data packet from reaching the receiver. The method still further includes mapping, in response to the blocking, the identifying information to entity information and asset information for the sender, and entity information and asset information for the receiver. The method yet further includes matching the entity information with an entity permission of one or more entity permissions, each entity permission indicating that a specific source asset associated with a specific entity can or cannot communicate with a specific target asset associated with a specific entity. The method still further includes updating one or more packet filter rules based on the matching.

Abstract: A system and method for secure authentication between applications that may be attacked with an attack originating from a quantum computer is provided. The systems and methods can involve generating a plurality of keys, wherein each key of the plurality of keys is unique and determining one or more pairs of applications from a plurality of applications, wherein each pair can include applications that can connect. The systems and methods can also involve upon receiving a request from a first application of the plurality of applications to connect to a second application of the plurality of applications finding the pair of the one or more pairs that includes both the first application and the second application and associating one key of the plurality of keys to the pair, and performing by the first application and the second application, mutual authentication using the one key.

Abstract: A system for improving efficiency of processing alerts by a Security Incident & Event Management (SIEM) platform involves a pipeline, and an error log associated with the pipeline, wherein the pipeline is coupled to a source of alerts and to an SIEM platform, the pipeline including a source task, at least one process task and at least one sink task, wherein the at least one sink task is configured to publish cases to the SIEM platform and wherein the error log is configured such that, when an exception occurs in a particular task in the pipeline, an object relating to the particular task and the exception will be stored in the error log.

Abstract: A system and method for maintaining data quality, including: periodically updating, at a first computing apparatus, a source data table maintained at a second computing apparatus at a first time interval; periodically updating, in an iterative or recursive manner at the first computing apparatus, a batch data table maintained at the second computing apparatus at a second time interval; obtaining, at the second computing apparatus from an information system, one or more data tables, metadata, and one or more transaction tables; determining, at the second computing apparatus, whether a refresh timestamp or a modification timestamp is within a predetermined time period from a timestamp of the one or more transaction tables; when it is within the predetermined time period, updating a data visualization application for reviewing the timestamp negative result, wherein the data visualization application comprises a graphical user interface that is accessible using a third computing apparatus.

Abstract: Systems and methods provide advanced user entitlement management for enterprise networks. System can comprise a local network and a central transactional database, such that the local network is configured to generate a plurality of multi-dimensional user entitlements on the local network, where each multi-dimensional user entitlement of the plurality of multi-dimensional user entitlements is capable of being defined by dimensional restrictions or coverages; store the plurality of multi-dimensional user entitlements in a central admin database on the local network; and push the plurality of multi-dimensional entitlements to an active directory database on a cloud network coupled to the local network; the cloud network comprising: an RTAC server configured to receive an entitlement query from a querying app such as at least one application hosted on the cloud network or a third party application connected via a SCIM interface, and fetch the plurality of multi-dimensional user entitlements.

Abstract: A data replication and switching device and method, including a plurality of data communication ports, a management port, at least one replicator respectively associated with the data communication port, a Layer 1 (“L1”) switch, and a L1 bypass. At least some data received via the at least one of the plurality of ports can be routed to at least one of the plurality of data communication ports and, in response to the configuration data received via the at least one management port, the data replication and switching device can route at least some of the data received via the data communication port to bypass the L1 switch or to route at least some of the data received via the data communication port to the L1 switch.

Abstract: A system and method enhance original media including a first audio using generative artificial intelligence, including large language models and media conversion modules. The system includes a graphic user interface (GUI) including a media player and a display region for outputting an enhanced media including the original media, a summary of the original media, and the plurality of chapter headings of the original media. The media player plays the original media, and the display region displays the summary and the plurality of chapter headings. The summary, the plurality of chapter headings, and each of a translation into a selected language and a second audio generated from the summary and the plurality of chapter headings are automatically generated from the original media. The method implements the system.

Abstract: A system and method perform automated steering of network traffic over a least latency path. A service request module receives traffic parameters from a user, a process train module generates a service identification (ID) in response to a request from the service request module, and a connection admission control module generates a service ticket including the service ID and the traffic parameters, communicates with a network controller to gather information about a network, determines the least latency path through the network from the gathered information, and generates a command in the service ticket. Activation of the command configures the network to steer the traffic flow of communications of the user on the least latency path. The method implements the system.

Abstract: Managing tasks using an application-level blue-green topology with parallel cell infrastructure rails. Each cell infrastructure rail includes a dispatcher bot and a performer bot. The dispatcher bot is configured to prepare a work task based on a received request, and the performer bot performs the work task, resulting in performed work. A discovery server includes a service registry configured to store the states of the infrastructure rails. The discovery server receives the request for the work task, and sends the request to a dispatcher bot of a specific cell infrastructure rail based on the request and the states of the cell infrastructure rails. A respective workflow cell server receives the performed work. In the case that one cell infrastructure rail experiences a problem when processing the request, the cell infrastructure rails are switched to perform the request on the other cell infrastructure rail. The method implements the system.

Abstract: Computer-implemented methods and systems are disclosed for receiving and indexing a plurality of files for later querying, for dynamically generating scripts to be executed during a query of a data store, and for horizontally distributing a query and aggregating results of the distributed query.

Abstract: A system and method generate recommendations with cold starts. The system comprises a hardware-based processor, a memory, and a set of modules. The memory stores item taxonomy data for at least one item, stores client descriptive data for at least one client, and stores historical response data for at least one item responded to by the at least one client. The set of modules includes a machine learning module and a recommendation module. The machine learning module generates a response probability matrix using the historical response data, the item taxonomy data, and the client descriptive data. The recommendation module generates and outputs a recommendation corresponding to input data using the information deduced in the response probability matrix. The method implements the system.

Abstract: Systems and methods for intelligently clustering alerts and applying a multi-stage scoring approach to prioritize and effectively address cybersecurity alerts are disclosed. The multi-stage scoring approach may involve applying Time Series Frequency-Inverse Document Frequency (TSF-IDF) Scores that represent a novelty of a cluster and Confidence Scores that represent a measure of accuracy based on prior performance including true positives and other indicia of accuracy.

Abstract: Smart information retrieval is provided via artificial intelligence. Content stored in documents in a database is accessed and contextual chunks of individual ones of the documents are identified, wherein the contextual chunks include portions of content stored in the individual ones of the documents. Embeddings associated with the contextual chunks are generated and stored in a vector database. A plurality of relationships are defined among at least some of the contextual chunks and generates relational embeddings using the plurality of identified relationships. The relational embeddings are stored in a database. A query is received for information associated with at least some of the content and an embedding representing the query is generated. The embedding representing the query is transmitted to at least one large language model, and a response including at least some of the contextual chunks is received. The response is transmitted to a device associated with the query.

Abstract: Systems and methods monitor performance of a computing platform, including identifying infrastructure components associated with computing platforms of an organization, identifying component dependency between different infrastructure components across all system resources an enterprise network, and correlating the performance of an infrastructure component with business related KPIs for the platform. The platform management system generates a metadata representative of each the computing platform so that a graphical user interface (GUI) can provide real-time or near real-time data analytics to client devices, within a private enterprise cloud network. The performance platform management system may automatically take actions in response to identified infrastructure issues based on predetermined resolution procedures, individual configurations (based on permissions), or client interaction through the GUI.

Abstract: A system and method detect bias and to perform debiasing of an item including data, ideas, and processes, by determining a fairness ratio, from model scores from a recommendation model, sorting the model scores into an ordered list of scores, determining that a sorted score is within a range of predetermined upper and lower thresholds, adjusting the sorted score, recomputing the fairness ratio from the adjusted sorted score, and in the case that the recomputed fairness ratio is not within the range, further adjusting the sorted score until a corresponding fairness ratio of the adjusted sorted score is within the range. In the case that the recomputed fairness ratio is within the range, the system and method generate and output a message with the adjusted sorted score to a recommendation engine, which generates and outputs a recommendation based on the adjusted sorted score.