Abstract: A big data analysis system may include a big data repository communicatively coupled to a data accumulation server and a predictive graph processing system. The data accumulation server may be configured to receive information from a plurality of data sources, the information corresponding to user interaction with one or more computing devices associated with an organization via a networked computing system, store the information received from the plurality of sources in the big data repository; and monitor the plurality of data sources to update the data stored in the big data repository. The predictive graph processing system is configured to receive information stored in the big data repository, transform the information received from the big data repository into a predictive graph data set based on a predictive model, and store the predictive graph data set to a visualization data repository.

Abstract: A system assigns experts of a mixture-of-experts artificial intelligence model to processing devices in an automated manner. The system includes an orchestrator component that maintains priority data that stores, for each of a set of experts, and for each of a set of execution parameters, ranking information that ranks different processing devices for the particular execution parameter. In one example, for the execution parameter of execution speed, and for a first expert, the priority data indicates that a central processing unit (“CPU”) executes the first expert faster than a graphics processing unit (“GPU”). In this example, for the execution parameter of power consumption, and for the first expert, the priority data indicates that a GPU uses less power than a CPU. The priority data stores such information for one or more processing devices, one or more experts, and one or more execution characteristics.

Abstract: In some examples, machine learning based semantic structural hole identification may include mapping each text element of a plurality of text elements of a corpus into an embedding space that includes embeddings that are represented as vectors. A semantic network may be generated based on semantic relatedness between each pair of vectors. A boundary enclosure of the embedding space may be determined, and points to fill the boundary enclosure may be generated. Based on an analysis of voidness for each point within the boundary enclosure, a set of void points and void regions may be identified. Semantic holes may be identified for each void region, and utilized to determine semantic porosity of the corpus. A performance impact may be determined between utilization of the corpus to generate an application by using the text elements without filling the semantic holes and the text elements with the semantic holes filled.

Abstract: Disclosed are various approaches for determining an optimal communication channel for contacting a user. In one such embodiment, application usage data corresponding to user interactions on available communication channels within an enterprise environment is obtained and used to generate a knowledge graph representing an individual user communicating over two or more of the available communication channels with other users. Thus, based on the knowledge graph, at least one optimal communication channel can be provided for contacting the individual user, wherein the at least one optimal communication channel is represented in the knowledge graph.

Abstract: Systems and methods for generation and use of document analysis architectures are disclosed. A model builder component may be utilized to receiving user input data for labeling a set of documents as in class or out of class. That user input data may be utilized to train one or more classification models, which may then be utilized to predict classification of other documents. Trained models may be incorporated into a model taxonomy for searching and use by other users for document analysis purposes.

Abstract: A method may include obtaining a plurality of training samples with a plurality of classifications that include a first classification and a second classification, training an initial tree with an initial set of training samples selected from the plurality of training samples using an initial set of feature values extracted from the set of training samples, and, in response to determining that the initial tree incorrectly classified the initial set of training samples at an output node of the initial tree, training a subsequent tree using a subsequent set of feature values extracted from a subsequent set of training samples.

Abstract: Disclosed are techniques for generating features to train a predictive model to predict a customer lifetime value or churn rate. In one embodiment, a method is disclosed comprising receiving a record that includes a plurality of fields and selecting a value associated with a selected field in the plurality of fields. The method then queries a lookup table comprising a mapping of values to aggregated statistics using the value and receives an aggregated statistic based on the querying. Next, the method generates a feature vector by annotating the record with the aggregated statistic. The method uses this feature vector as an input to a predictive model.

Abstract: An analytics server for scalable predictive analysis for analytics as a software service in multi-tenant environment is provided. The analytics server automatically validates portability of a predictive model from a first tenant to a second tenant by comparing value distribution of parameters between data inputs of the first tenant and the second tenant. The analytics server further automatically detects source data changes over a configurable time horizon as relevant to predictive model inputs, by comparing value distribution of parameters between two data inputs from a same tenant separated by a selected time horizon.

Abstract: A method and apparatus for certification of facts introduces a certifier and a fact certificate into the fact-exchange cycle that enables parties to exchange trustworthy facts. Certification is provided to a fact presenter during the first part of the fact-exchange cycle, and verification is provided to the fact receiver during the last part of the cycle. To request a certification, a fact presenter presents the Certifier with a fact. In return, the certifier issues a fact certificate, after which the fact presenter presents the fact certificate to the fact receiver instead of presenting the fact itself. The receiver inspects the received certificate in order to evaluate the fact's validity and trustworthiness. For some facts and notions of verification, the certificate is sufficient and its inspection does not require any communication. For others, the receiver requests a verification service from the Certifier in order to complete the verification.

Abstract: Systems and methods are disclosed for receiving a target image corresponding to a target specimen, the target specimen comprising a tissue sample of a patient, applying a machine learning model to the target image to determine at least one characteristic of the target specimen and/or at least one characteristic of the target image, the machine learning model having been generated by processing a plurality of training images to predict at least one characteristic, the training images comprising images of human tissue and/or images that are algorithmically generated, and outputting the at least one characteristic of the target specimen and/or the at least one characteristic of the target image.

Abstract: Examples of the disclosure are directed toward generating a causation score with respect to an agent and an outcome, and projecting a future causation score distribution. For example, a causation score may be determined with respect to a hypothesis that a given agent causes a given outcome, and the score may indicate the acceptance of that hypothesis in the scientific community, as described by scientific literature. A future causation score distribution, then, may indicate a probability distribution over possible future causation scores, thereby predicting the scientific acceptance of the hypothesis at some specific date in the future. A future causation score distribution can be projected by first generating one or more future publication datasets, and then determining causation scores for each of the one or more future publication datasets.

Abstract: A cognitive learning method comprising: monitoring a user interaction of an anonymous user; generating user interaction data based upon the user interaction; receiving data from a plurality of data sources; processing the user interaction data and the data from the plurality of data sources to perform a cognitive learning operation, the processing being performed via a cognitive inference and learning system, the cognitive learning operation comprising analyzing the user interaction data, the cognitive learning operation generating a cognitive learning result based upon the user interaction data; and, associating an anonymous cognitive profile with the anonymous user based the cognitive learning result.

Abstract: A system provides an estimated result of an input including a plurality of parameters using a learning model, and the system is configured to provide information necessary to change an estimated result with regard to one parameter among the plurality of parameters, and set a condition for information with regard to at least one parameter among the plurality of parameters, wherein the condition is a condition for not providing some information regarding a parameter which is a target of the set condition as the information necessary to change the estimated result.

Abstract: A contextual-based method and system for identifying and revealing objects from video directs a focus of attention to images or sequences of images responsive to a command, interrogative, or inferred preference of a user. A probability is assigned to an object that is inferred to be represented in the images or sequence of images. The probability is generated by application of a computer-implemented neural network. The probability is then updated based upon a context within which the representation of the object is inferred to be situated. The context may be inferred from one or more inferences related to one or more archetypical objects that are associated with the context. In accordance with the updated probability, a communication may be delivered that references attributes of the object and/or the user may direct a command to the representation of the object.

Abstract: In a general aspect, a method for determining a location of motion detected by wireless communication devices in a wireless communication network includes obtaining motion data associated with a first time frame. The motion data includes a set of motion indicator values. The method also includes generating a first probability vector based on the set of motion indicator values and obtaining a second probability vector generated from motion data associated with a prior time frame. The method additionally includes obtaining a transition probability matrix that includes transition values and non-transition values. The method further includes determining, by operation of a data processing apparatus, a location of the motion detected from the wireless signals exchanged during the first time frame.

Abstract: Systems and methods are disclosed that determine whether wait times for attractions of a theme park are shorter or longer than expected and notify guests of these shorter or longer wait times. In particular, the systems and methods determine a wait time value for an attraction by dividing a wait time for the attraction by a total wait time for all attractions of the theme park, and compare the wait time value to one or more threshold values based on an expected wait time for the attraction. In this manner, theme park guests may make a more informed decision on which attraction to wait for, and maximize their time at the theme park.

Abstract: Provided are an arrangement information acquisition unit that acquires arrangement information indicating a position where a charging device for charging one or more storage batteries is arranged, a user position acquisition unit that acquires user position information indicating a position of the user, a charge state acquisition unit that acquires information indicating a charge state of at least one of the one or more storage batteries at specific time, and a state information generation unit that generates information to which (i) a charge state at the specific time and (ii) a charge state at an estimated time of arrival of the user at the charging device are associated for at least one of the one or more storage batteries, in accordance with (i) the arrangement information acquired by the arrangement information acquisition unit and (ii) the user position information acquired by the user position acquisition unit.

Abstract: A method and system of optimizing pressure regulation at an intelligent gas gate station based on an Internet of Things are provided. The method is performed by an intelligent gas management platform, and the intelligent gas management platform includes an intelligent customer service management sub-platform, an intelligent operation management sub-platform, and an intelligent gas data center, the method includes: obtaining, by the intelligent gas data center, gas terminal information from an intelligent gas object platform through the intelligent gas sensor network platform, wherein the gas terminal information includes gas terminal flow and a gas terminal distribution feature; predicting, by the intelligent operation management sub-platform, gas gate station flow based on the gas terminal information; and determining, by the intelligent operation management sub-platform, a pressure regulation scheme of the gas gate station based on the gas gate station flow.

Abstract: The method may comprise receiving historical data (e.g., mineralogy data, irrigation data, raffinate data, heat data, lift height data, geographic data on ore placement and/or blower data); training a predictive model using the historical data to create a trained predictive model; adding future assumption data to the trained predictive model; running the forecast engine for a plurality of parameters to obtain forecast data for a mining production target; comparing the forecast data for the mining production target to the actual data for the mining production target; determining deviations between the forecast data and the actual data, based on the comparing; and changing each of the plurality of parameters from the forecast data to the actual data to determine a contribution to the deviations for each of the plurality of parameters.

Abstract: Provided is a process that includes sharing information among two or more parties or systems for modeling and decision-making purposes, while limiting the exposure of details either too sensitive to share, or whose sharing is controlled by laws, regulations, or business needs.

Abstract: Systems and methods for facilitating aerial vehicle services are provided. A service entity system can obtain multi-modal transportation services data indicative of a plurality of anticipated aerial transportation service. The service entity system can obtain vehicle attributes associated vehicle(s) of an aerial vehicle provider and determine an expected performance of the vehicle(s) based on the vehicle attributes and the anticipated aerial transportation services. The service entity system can generate an aerial vehicle service request that requests access to the vehicle(s) for providing aerial transportation services for the service entity based on the expected performance of the vehicle(s). A vehicle provider system can obtain a number of different aerial vehicle service requests from a number of different service entities.

Abstract: The present disclosure is related to Just-In-Time (JIT) services, that discloses a method and system for providing JIT services to automotive users. A Point of Interest (PoI) service aggregator system may receive a service request from an automotive user, including one of: information related to a preferred PoI service provider, request to recommend PoI service providers, or request to list PoI service providers based on user query. Based on service request, the PoI service aggregator system may perform one of: dynamically on-boarding the preferred PoI service provider, recommending PoI service providers, or providing PoI service providers based on user query. Thereafter, a real-time synchronization may be established between a candidate PoI service provider and the automotive user to enable the candidate PoI service provider to determine arrival events including an estimated time of arrival and non-arrival events of the automotive user, to provide JIT service to the automotive user.

Abstract: Methods and systems for generating a recovery scheduling solution in response to a scheduling disruption are disclosed.

Abstract: Aspects of the technology relate to providing service area maps for an autonomous vehicle transportation service having a fleet of vehicles. For instance, each vehicle of the fleet is associated with a polygon corresponding to a service area for that vehicle. A first location may be received from a client computing device, and a set of vehicles of the fleet of vehicles that are currently available to provide transportation services may be identified based on the first location. The polygons associated with each of the set of vehicles may be used to determine a first polygon having a geographic area. A first portion of map information corresponding to the geographic area of the first polygon may be identified, and the first portion may be provided to the client computing device for display to a user such that the portion represents a currently available service area for the user.

Abstract: A dispatch advisor to assist in selecting operating conditions of a power plant that maximizes operational revenue is described. The dispatch advisor obtains a base load map for operating the power plant to meet base load power demands. The base load map includes a primary base load operating space for attaining target plant power output and efficiency, and an expanded base load portion for attaining higher plant power output and less than optimal efficiency. Both the primary base load operating space and the expanded base load portion associate power output and efficiency values of the power plant that result from a subset of operational parameter values for operating the power plant during base load. The dispatch advisor can transform the flexible base load map into one or more visualizations describing the revenue possibilities associated with operating the power plant based on operating values and attained power output and efficiency.

Abstract: Systems and methods to implement customer contact service with real-time supervisor assistance. A supervisor may oversee multiple agents in a customer contact service. A service of a computing resource service provider may monitor a plurality of audio connections at a service of a computing resource service provider, generate transcripts for the plurality of audio data, analyze the transcripts using a set of natural language processing (NLP) techniques to generate metadata, tag the transcripts with categories based at least in prat on the metadata, generate information for at least a portion of the plurality of connections based on the transcripts, metadata, and categories, and provide the information to a supervisor of the agents.

Abstract: The disclosed subject matter relates to a delivery system for returning a property item left in a transportation environment to a passenger of the transportation environment. A method can include determining a first waypoint based on a location of the property item, determining a second waypoint based on a pickup location identified by the passenger, constructing a delivery route between the first waypoint and the second waypoint in which the delivery route has at least one segment that corresponds with at least a portion of at least one selected trip from a plurality of trips to be carried out in the transportation environment, obtaining confirmation of acceptance of the delivery route from at least one participant of the at least one selected trip, and obtaining confirmation of delivery of the property item by the at least one participant and/or the passenger in accordance with the delivery route.

Abstract: A logistics operation optimization apparatus computes, for each operation process, a deviation degree between turns of articles of overall optimum proposals indicated by an overall optimum proposal list and turns of the articles in each operation process, estimation operation time, and an error of the estimation operation time from the overall optimum proposal, and the number of combinations of turns that are defaulted from an overall optimum plan indicated by an overall optimum plan list in the past, evaluates the overall optimum proposal according to an evaluation expression of a weighted linear sum including the deviation degree, the estimation operation time, and the error of the estimation operation time from the overall optimum proposal, and the number of combinations of the turns that are defaulted, and creates an overall optimum plan list of the best overall optimum plan, from the overall optimum proposals indicated by the overall optimum proposal list.

Abstract: A system can be used with a drone delivery service that facilitates a service delivery via at least one drone delivery device. The system includes a code generator configured to generate beacon data that identifies a subscriber. A beacon generator is configured to generate a wireless homing beacon that indicates the beacon data, wherein the wireless homing beacon is detectable by the at least one drone delivery device to facilitate the service delivery to the subscriber by the drone delivery device at a location selected by the subscriber and a network interface is configured to communicate via a network. The system receives delivery image data captured after the service delivery by the drone delivery device.

Abstract: Systems, method and computer readable medium are provided for automated storage and retrieval. User authentication information is received via a user interface for a dynamic storage and retrieval device. The user identity is verified based upon the authentication information and previously stored authentication data. Order information is retrieved for an order associated with the user following the verifying of user identity, the order information indicating one or more locations for items associated with the order. Instructions are transmitted to initiate a physical opening of at least one of the dynamic storage and retrieval device and at least one static storage location to enable the user to retrieve at least one item of the order, the static storage location including a controller controlling a locking mechanism and communicatively coupled to the dynamic storage and retrieval device.

Abstract: A system and method are disclosed for solving a supply chain planning problem modeled as a linear programming (LP) problem. Embodiments include receiving an LP problem representing a supply chain planning problem for a supply chain network comprising material buffers and resource buffers, partitioning the supply chain network at a complicating node into at least two supply chains sharing the complicating node, formulating a decomposed subproblem for each of the supply chains, calculating an effective dual based, at least in part, on a mathematical difference of at least two dual values calculated by solving the functional-based decomposed subproblems, and generating a globally-optimal LP solution to the LP problem using subgradient descent with the effective dual.

Abstract: Aspects of the technology described herein provide a system for an improved inventory system using RFID information. A first user device may initiate a team scanning session and a second user device may join the team scanning session. RFID scan data received by each of the first user device and the second user device may be filtered, aggregated, and sent to an inventory system using a first IoT topic. An inventory list for the team scanning session may be updated with the information provided by each of the first and second user devices and published to each of the user devices using a second IoT topic. Additional RFID scan data received by each user device may trigger an indication to the user that a particular RFID scan data had not yet been scanned during the team scanning session.

Abstract: A product order fulfillment system includes multiple decks arrayed at different levels and defining multilevel decks, at least one autonomous transport vehicle on each of the decks, and configured for holding and transporting a pickface on each deck, at least one lift, traversing and connecting more than one level of the decks, and arranged for lifting and lowering the pickface from the decks, and at least one pickface transfer station on each deck interfacing between the transport vehicle and the at least one lift to effect transfer of the pickface between the transport vehicle and the at least one lift, the at least one lift defines a fulfillment stream of mixed case pickfaces outbound from the multilevel decks to a load fill, at least one stream of the fulfillment stream has an ordered sequence of streaming pickfaces wherein the ordered sequence of streaming pickfaces is based on another fulfilment stream.

Abstract: The present disclosure includes an inventory fulfillment system for managing information regarding pertaining to the inventory supply chain logistics and automation of medical items dispensed in conjunction with medical treatment of a patient at a medical facility, wherein the medical items are stored in a physical inventory space in the medical facility, wherein the medical items have radiofrequency tags attached thereto is disclosed herein. In some implementations, the inventory fulfillment system receives, dispenses, and manages, medical items that are provided by a multiplicity of suppliers, collects patients' payments. In some implementations, the inventory fulfillment system also includes assigning items to patients, updating inventory applications, insurance eligibility, patient estimation, and patient payment.

Abstract: A hybrid modular storage fetching system is described. In an example implementation, the system may include a warehouse execution system adapted to generate a picking schedule for picking pick-to-cart and high-density storage items, and an AGV dispatching system adapted to dispatch a cart automated guided vehicle and a modular storage fetching automated guided vehicle based on the picking schedule. The cart automated guided vehicle may be adapted autonomously transport a carton through a pick-to-cart area and to a pick-cell station. The modular storage fetching automated guided vehicle may be adapted to synchronously autonomously transport a modular storage unit containing items to be placed in the cartons from a high-density storage area to the pick-cell station.

Abstract: A Software-as-a-Service (SaaS) system for providing a social network for business to business (B2B) electronic connectivity is disclosed and more particularly to a simplified B2B electronic connectivity interface which not only facilitates one-to-one business connections but can also be used to facilitate one business to many business connections while maintaining point-to-point connections between each company with each of its trading partners.

Abstract: Systems may evaluate a claim or patent with respect to a related set of claims or patent documents. The systems may perform linguistic analyses of claims included in the patent and the related set of patent documents. Based on the linguistic analyses, the systems may identify claim limitations, and/or claim elements. The systems may generate a claim profile for each claim being evaluated. The claim profile may include ratings or scores for various metrics related to the claims being evaluated. The systems may also generate a peer group profile that provides an overall measure of metrics for claims included in a peer group of patent documents.

Abstract: A system and method for capturing and automated processing aerial images of structures to assess structural damage is disclosed. The system comprises a computing system used to obtain images of selected locations associated with known structures at different points in time before and after a natural disaster. The images are used to automatically create three-dimensional models that are used to detect the specific portions of a structure that may be damaged as well as the spatial extent of that damage. In addition, the imagery can be fed into a damage classifier that automatically classifies the degree of damage and generates accurate estimates of repair costs. The system and method may be deployed to quickly assess damage of structures in a disaster area and provide reports of the damage to homeowners and/or insurers.

Abstract: Gateways for patient-responsibility portions of medical bills (PRPMB) transactions, regardless of healthcare provider or merchant services (Credit card processing) provider are disclosed. These principles provide uniform, consistent and secure devices, methods and systems that allow a patient to make PRPMB payments on one website or by one phone call or physical address regardless of the entity that is due payment, or when multiple entities are due payment.

Abstract: Systems and methods for generating a shared collaborative channel for collaboration are provided. In particular, a computing device may receive a request, from an originating member of an organization, to create the shared collaborative channel, the request including an invitee to be added to the shared collaborative channel. In response to receipt of the request, the computing device may provision a substrate group by creating a container associate with the shared collaborative channel including a substrate database associated with the shared collaborative channel, generate an invitation including a custom link to the shared collaborative channel for the invitee, and determine whether the invitee belongs to an originating collaboration team associated with the originating member based on the substrate database. If the invitee belongs to the originating collaboration team, the computing device may further update the substrate group to add the invitee as a new member of the shared collaborative channel.

Abstract: Example embodiments are directed to providing a zoomable meeting and collaborative canvas with image pointers. In example embodiments, a video management system establishes a zoomable meeting by communicatively coupling a plurality of user devices. A live audio/video feed is received from one or more users of the plurality of user devices. The system causes display of the zoomable meeting on a display of each of the plurality of user devices by displaying a zoomable canvas that enables movement of one or more image pointers that each show the live audio-video feed of one of the one or more users. The system monitors for an image pointer operation for one of the image pointers, whereby the image pointer operation comprises a navigation command or a zoom command. Based on the image pointer operation, the system causes an update to the zoomable canvas to display performance of the image pointer operation.

Abstract: A data management server computer (“server”) and related methods are disclosed to enhance electronic documents or search processes related to skill data, including skill names, using machine learning techniques. The server is programmed to organize skill names from a dictionary into a knowledge graph. The knowledge graph includes nodes that represent the skill names and words of the skill names and edges that represent syntactic or semantic relationships. The server is programmed to respond to skill-related requests using the knowledge graph and track access patterns of the knowledge graph in responding to the requests. The replies to the request can be generated based on the structure or access patterns of the knowledge graph and used as search results or skill-related data, such as resumes or job descriptions.

Abstract: A method, computer program product, and a system where a processor(s) generates a digital wardrobe for each user of a set of users. The processor(s) obtains a prospective theme(s) for a given event and a list of participants comprising a portion of the set of users. The processor(s) identify preferences, in the digital wardrobes of the portion of the set of users, relevant to each of the one or more prospective themes for the given event. The processor(s) determine, based on analyzing the relevant preferences in the digital wardrobes of the portion of the set of users, if a consensus exists in the relevant preferences of the portion of the set of users, where the consensus represents a given prospective theme, where the respective relevant preferences for the given prospective theme are aligned across the portion of the set of users. Based on determining that the consensus exists, the processor(s) generates an event theme for the given event, wherein the event theme is the consensus.

Abstract: Aspects discussed herein may relate to methods and techniques for automatically generating a test drive schedule for a user based on known inventory, user preferences, demographic information, employee availability, and other factors, as well as detecting conflicts and rescheduling test drives in response to those conflicts. This may allow for easier access to test drives for the consumer, which may promote more test drives and higher resultant sales, as well as allowing for rescheduling in advance of conflicts, which may reduce lost consumers due to test drives that were conflicted.

Abstract: The disclosure provides a method, system, and a software program product for assisting a user and/or managing tasks of the user, by a mobile secretary cloud application configured to operate in a mobile client device and cloud server network. The mobile secretary cloud application reads data from another software application and operates at least one of another application and a third application based on the read data. Further, Artificial intelligence is utilized by the mobile secretary cloud application for operating another application and the third application.

Abstract: Systems and methods for automated or computer assisted planning of pipe replacement projects includes searching a database of pipe segments each having assigned or calculated failure risk parameters. The searching algorithm looks for connected pipe segments falling within a customer's specified project size and identifies potential projects having a relatively high combined high failure risk.

Abstract: An intelligent reliability evaluation and service life prediction method for a kilometer deep well hoist brake, the method including: the establishment of a digital twin model for a hoist brake, data acquisition and synchronization, and reliability evaluation and service life prediction, wherein the digital twin model for the hoist brake can accurately reflect actual physical characteristics of the hoist brake, the data acquisition and synchronization can realize real-time mapping between a physical entity of the hoist brake and the digital twin model therefor, and furthermore, on the basis of the digital twin model for the hoist brake, the reliability evaluation and service life prediction are realized. Digital twin technology is combined with a reliability analysis method, so that real-time updating of reliability evaluation and service life prediction of the hoist brake are realized.

Abstract: Techniques for improving computing device operations are provided. A system can include an organizational database that stores a centralized set of organizational data having a plurality of device objects and a plurality of employee objects. The system can receive a notification associated with the first employee object. Additionally, the system can determine, using the organizational database, that the first device object is associated with the first employee. Moreover, the system can access a device policy for the first device object. Furthermore, the system can evaluate the device policy based at least in part on data associated with the first employee object and the notification. The evaluation of the device policy includes running a query expression against the centralized set of organizational data to return a query result. Subsequently, the system can execute an action based on the query result. The action can be associated with the first computing device.

Abstract: A computer-implemented method for detecting potentially compromised payment cards is provided. The method uses a processor in communication with a memory. The method includes storing a plurality of tokens. Each token includes merchant identification data corresponding to a first merchant. The method also includes transmitting the plurality of tokens to the first merchant and receiving an authorization request message from a merchant. The authorization request message includes a token and a merchant identifier corresponding to the merchant. The method further includes determining that the received token is one of the plurality of tokens associated with the first merchant, determining that the merchant identifier does not correspond to the first merchant, transmitting a message including instructions to decline the transaction, and attaching a potentially compromised flag to the first merchant. The potentially compromised flag indicates a heightened probability of fraudulent activity.

Abstract: A payment HSM hosted in a data center and comprising a host interface accessible by a remote end-user entity running a payment application using critical resources protected in the payment HSM, a second interface for main, operational management of the payment HSM by the end-user entity, and an Out-Of-Band, OOB, management interface being distinct and physically isolated from the communication channel of the second interface, and configured to allow secure access to the payment HSM by a third-party entity, distinct from the end-user entity. A resident, remotely configurable provisioning state-machine is implemented in the HSM for the management of the provisioning of the payment HSM for service to one or more end-user entities, under the control of the third-party entity over the OOB management interface.