Abstract: Systems, methods, and other embodiments associated with defining and evaluating a project initiative are described. In one embodiment, a method includes displaying an initiative definition interface for use in defining the project initiative for an entity. The example method may also include receiving an objective definition, a capability definition, a benefit definition, and an implementation roadmap definition through the initiative definition interface. The example method may also include assigning ranks to the objective definition, the capability definition, the benefit definition, and the implementation roadmap definition based upon a definition completeness metric. The example method may also include generating an initiative viability score based upon the ranks. The example method may also include displaying an initiative redefinition suggestion for redefining the project initiative based upon the initiative viability score being below a threshold.

Abstract: Methods, systems, apparatus, including computer programs encoded on computer storage medium, for generating rendering data. The method includes actions of receiving a stream of real-time data, analyzing the stream of real-time data to detect a set of one or more attributes associated with a real-time event, identifying, based on the one or more attributes, one or more data records representing an event-outcome pair, wherein an outcome in the event-outcome pair includes data identifying a content item, obtaining historical data associated with the content item, and generating rendering data including data for rendering a first layer representing real-time data specifying a current value of the content item as an overlay to a second layer representing the obtained historical data associated with the content item, with each of the rendered layers being juxtaposed to one or more specified portions of the graphical user interface.

Abstract: A system for assessing authenticity of modified content includes a computing platform having a hardware processor and a memory storing a software code including a neural network trained to assess the authenticity of modified content generated based on baseline digital content and including one or more modifications to the baseline digital content. The hardware processor executes the software code to use the neural network to receive the modified content and to assess the authenticity of each of the one or more modifications to the baseline digital content to produce one or more authenticity assessments corresponding respectively to the one or more modifications to the baseline digital content. The hardware processor is also configured to execute the software code to generate an authenticity evaluation of the modified content based on the one or more authenticity assessments, and to output the authenticity evaluation for rendering on a display.

Abstract: A device may obtain ticket data relating to a set of tickets, and process the ticket data to generate a ticket analysis model that is a clustering based natural language analysis model of natural language text associated with tickets of the set of tickets. The device may classify the set of tickets using the ticket analysis model, may determine an automation plan for at least one class of ticket determined based on classifying the set of tickets, and may implement the automation plan to configure an automatic ticket resolution or ticket generation mitigation procedure for the at least one class of ticket. The device may receive a ticket after configuring the automatic ticket resolution or ticket generation mitigation procedure, may classify, using the ticket analysis model, the ticket into the at least one class of ticket, and may automatically implement a response action for the ticket based on classifying the ticket and using the automatic ticket resolution or ticket generation mitigation procedure.

Abstract: An example computer-implemented method includes defining, by a processing device, a workflow for a wellbore operation as a plurality of steps. The method further includes defining, by the processing device, a contextual information field associated with at least one of the plurality of steps. The method further includes receiving, by the processing device, contextual information associated with the contextual information field. The method further includes displaying, by the processing device, the at least one of the plurality of steps of the workflow and the contextual information associated with the contextual information field by integrating the contextual information into the at least one of the plurality of steps.

Abstract: Embodiments of the disclosure are related to a method, apparatus, and system for generating scores for the security threat coverage in a client network based on collected network environment data, comprising: determining a client device list; creating a client-specific threat matrix based on the client device list and a general threat matrix; and determining one or more security threat coverage scores for the client network based on the client-specific threat matrix.

Abstract: A system comprised of hardware, software and business processes to more effectively make multi-objective crop production plans, and in particular, single year or multi-year crop selection, acreage allocation, and resource management strategies for production agriculture that can be used by farmers, agricultural professionals who work with farmers and land managers. The method uses mathematical programming and sensitivity analysis to help the user determine optimal allocations of controllable resources such as land, capital, labor, water, machinery, and chemicals and for deploying risk management strategies such as precise combinations of forward sales and hedging, crop insurance and crop diversification, in the context of farm management objectives. The system allows the import of data and information relating to the farm and data and information from third-party industry professionals and other data sources.

Abstract: A computer-implemented method includes retrieving, by a server, application data about the one or more software applications via one or more databases. The server retrieves security data for the one or more software applications via the one or more databases. The server calculates a plurality of categorical scores for each of the one or more software applications based on the security data. The server calculates an overall security score for each of the one or more software applications based on the plurality of categorical scores as calculated. The server instructs the plurality of categorical scores and the overall security score for each of the one or more software applications to be stored in an application database. The server outputs to a user device the plurality of categorical scores and the overall security score for each of the one or more software applications in the application database.

Abstract: A control system (100) and control method for controlling a process performed by production equipment (200). The control system has a first interface (191) configured to obtain, from a data provisioning module (310), production control data (311) for operating the production equipment (200) wherein the production control data (311) relates to operating instructions configured to control the production equipment (200) to automatically process a plurality of physical items (I1, I2) and their respective components (C1 to Cn). It further includes a risk evaluator module (110) configured to determine for each item a total risk value based on partial risk values associated with the respective components (C1 to Cn), and further configured to detect a change in the determined total risk values.

Abstract: There are provided in embodiments of the present disclosure a living body detection method, system and a non-transitory computer-readable recording medium. The living body detection method includes: acquiring device information of a terminal used to acquire an image of an object to be detected; determining a device risk level of the terminal; determining a living body detection strategy based on the device risk level of the terminal. The above technical solution adjusts the living body detection strategy by utilizing the device information of the terminal, which guarantee a true living body to go through a pass of the detection at a smaller cost, and at the same time makes it difficult for a false and malicious living body to go through a pass of the detection, thereby greatly reducing security risk of the living body detection, enhancing the user experience, and preventing the malicious request from occupying the system resources.

Abstract: A device may receive data related to a material. The data may permit an analysis of an exposure related to the material. The data may be received from another device. The device may process the data to determine a category of materials for the material. The category of materials may indicate a set of exposures, related to the material, to an organization. The device may process the data to determine an exposure preparedness level associated with the material. The exposure preparedness level may indicate a preparedness of the organization to handle the set of exposures related to the material. The device may determine a score for the material based on the category of materials and the exposure preparedness level associated with the material. The score may indicate the exposure related to the material. The device may perform an action related to the material based on the score for the material.

Abstract: Embodiments are directed to performing risk-based software validation and to applying change control when upgrading a software application. In one scenario, a computer system calculates a risk score for features in a software application. This risk score indicates a relative level of risk for installing and using the software application. The computer system performs internal usage testing to determine how the software application is recommended for use, and conducts use tests to determine how a specified client uses the features of the software application as compared to the determined recommended use. Then, based on the calculated risk and the determined use of the features, the computer system provides a recommendation for the specified client indicating which portions of the software application are to undergo client-specific validation. In another scenario, a computer system applies change control when upgrading a software application from a first version to a second version.

Abstract: Embodiments disclosed herein describe a server, for example a security awareness server or an artificial intelligence machine learning system that establishes a risk score or vulnerable for a user of a security awareness system, or for a group of users of a security awareness system. The server may create a frequency score for a user, which predicts the frequency at which the user is to be hit with a malicious attack. The frequency score may be based on at least a job score, which may be represented by a value that is based on the type of job the user has, and a breach score that may be represented by a value that is based on the user's level of exposure to email.

Abstract: Systems and methods related to sourcing and managing a supplier is provided. For example, a system includes a processor operatively coupled to a memory and configured to receive an indication of one or more sourcing designations for a property and casualty insurance claim from a remote device, evaluate at least one of a respective risk and a respective cost associated with multiple suppliers that may be used to address the one or more sourcing designations, provide a recommendation to use a recommended supplier of the multiple suppliers based at least in part on the at least one of the respective risk and the respective cost of the multiple suppliers, and generate a contract that is appropriate for use with the recommended supplier of the multiple suppliers.

Abstract: The present disclosure relates to opportunity sensing system(s) and method(s) to identify a business opportunity from a set of business opportunities associated with an organization for cognitive decision-making process. In one embodiment, the method comprises receiving a set of batch data associated with a set of symptoms indicative of a business opportunity from a set of business opportunities associated with an organization and obtaining metadata data associated with the business opportunity. The method further comprises detecting one or more symptoms for the set of symptoms based on analysis of the first set of data and the metadata and generating a reason associated with the detected one or more symptom based on execution of a root cause analysis methodology using the metadata data. The method furthermore comprises identifying a business opportunity from the set of business based on the generated reason.

Abstract: A computer-implemented method for quantitatively assessing a defense technique. The method includes executing a reasoning engine that receives as an input to the reasoning engine a query that includes an indicia of a defense technique to a computer security threat. The method further includes translating the defense technique into a propositional logic constraint on a queryable representation of a Boolean formula representing a model complied from a set of computer security threats and a set of defense techniques. The method also includes performing an assessment of the defense technique based on the propositional logic constraint on the queryable representation, to quantify the defense technique relative to a member of the set of computer security threats. The method further includes displaying a result of the assessment to indicate a level of security provided by the defense technique to the member.

Abstract: A method can include receiving data identifying an industrial asset. The method can also include receiving data characterizing one or more sensors configured to detect a first property of the asset. The method can further include determining a first graphical representation of the asset based on the received data identifying the industrial asset, and a second graphical representation of a first sensor of the one or more sensors based on the received data characterizing one or more properties of one or more sensors. The method can further include rendering, in a graphical display space, the first graphical representation and the second graphical representation. One or more visual properties of the second graphical representation can be indicative of one or more properties of the first sensor and/or the detected first property of the asset.

Abstract: A method for forming and disbanding dynamic temporary groups includes receiving a plurality of contacts at the facility, wherein each contact is associated with a respective user and a respective set of attributes; identifying a first subset of contacts which share a first common attribute; and dynamically forming a temporary group of contacts by determining a second common attribute shared by a second subset of the contacts, wherein the second subset of contacts is a smaller subset of the first subset of contacts. The method also includes identifying a related goods or service, based on the second common attribute, and presenting an offer for the related goods or services to the second subset of contacts and not to member contacts of the first subset that are not member contacts of the second subset of contacts.

Abstract: A computerized method is provided for automatically authorizing an access request from a user to perform a task with respect to a computing application of an application lifecycle management (ALM) system. The computerized method includes receiving, by a computing device, the access request from the user to perform the task with respect to the application in the ALM system and calculating, by the computing device, a risk score associated with the access request. Calculating the risk score includes determining a plurality of factors including: (i) at least one factor associated with the application indicative of an importance level of the application and (ii) at least one factor characterizing technical experience of the user, and computing the risk score as a weighted sum of the plurality of factors. The method further includes determining, by the computing device, whether to authorize the user access request based on the risk score.

Abstract: Attributes associated with a farming area and production data may be received. A user's expertise level may be identified. At least one crop model may be executed to generate a plurality of scenarios specifying specific actions to perform associated with a farming topic. A production goal associated with the farming area may be received. Based on the production goal and the user expertise level, the plurality of farming scenarios may be filtered to generate at least one candidate scenario. A candidate scenario may be presented for execution. An app such as a chat bot may perform a dialog with the user in executing steps of the candidate scenario.

Abstract: A plant evaluation apparatus includes: a first computation unit configured to compute a first estimated value of a plant state quantity by using a steady-state model; a first determination unit configured to compute a second estimated value of the plant state quantity by assigning an equipment parameter in a normal state to an equipment parameter of a non-steady-state model; a second computation unit configured to compute a third estimated value of the plant state quantity by using the steady-state model in a case where the first determination unit determines that an error between the second estimated value and an actually measured value is equal to or more than a threshold value; and a second determination unit configured to determine whether or not a difference between the equipment parameter in the normal state and the equipment parameter in an abnormal state is equal to or more than a predetermined value.

Abstract: A system, method and computer-readable medium for data breach simulation and impact analysis in a computer network, including generating an exposure matrix corresponding to data stores connected to the computer network, the exposure matrix storing a correspondence between regulations and an exposure of each data store the regulations, generating approximation matrices from the exposure matrix by iteratively applying a data compression algorithm to the exposure matrix, each successive iteration of the data compression algorithm being configured to more closely approximate the exposure matrix than a previous iteration of the data compression algorithm, simulating a plurality of data breach and mitigation scenarios on the plurality of data stores based at least in part on the plurality of approximation matrices to determine an overall impact of each data breach and mitigation scenario, determining an optimal data breach and mitigation scenario in the plurality of data breach and mitigation scenarios.

Abstract: Aspects of the disclosure relate to deploying and utilizing a dynamic record identification and analysis computer system with event monitoring components. A computing device may receive account reconnaissance data identifying a first plurality of user accounts that have experienced at least one event associated with account security concern characteristics. The computing platform may analyze event history data associated with the first plurality of user accounts to identify one or more common interactions associated with a subset of the first plurality of user accounts. The computing platform may identify a point of compromise among the subset of the first plurality of user accounts. Subsequently, the computing platform may search enterprise user account records to identify a second plurality of user accounts that have at least one event associated with the point of compromise. The computing platform may add the second plurality of user accounts to an alert table.

Abstract: In accordance with disclosed embodiments, there are provided systems, methods, and apparatuses for implementing machine learning model training and deployment with a rollback mechanism within a computing environment.

Abstract: A system and method for security risk identification in a secure software lifecycle. A knowledge database has a plurality of security elements which are identified for a particular software application depending on software environment and prioritized in a task list. Code vulnerabilities are identified using code scanners, with security requirements updated based on identified vulnerabilities, lack of vulnerabilities for weaknesses covered by a code scanner, potential weaknesses not adequately covered by code scanners, and software environment changes.

Abstract: A method for a data capturing and structuring includes determining at least one data capture mode for processing a non-electronic data record into an electronic data record and selecting a record owner having a plurality of existing data records to be associated with the electronic data record. The method also includes capturing the non-electronic data record into the electronic data record and collecting metadata from data associated with the record owner and the electronic data record and data generated during the capturing. Further, the method includes creating structured data records by combining the electronic data record and the metadata and exporting the structured data records.

Abstract: Data processing systems and methods, according to various embodiments are adapted for efficiently processing data to allow for the streamlined assessment of the risk level associated with particular privacy campaigns. The systems may provide a centralized repository of templates of privacy-related question/answer pairings for various vendors, products (e.g., software products), and services. Different entities may electronically access the templates (which may be periodically updated and centrally audited) and customize the templates for evaluating the risk associated with the entities' respective business endeavors that involve the relevant vendors, products, or services.

Abstract: A risk managing device for monitoring and managing one or more areas at risk, includes an obtaining module, a setting module, an updating module, a calculating module, and a sorting module. The obtaining module obtains live inspection information of an area. The setting module sets a Severity, Occurrence, and Detection (SOD) score for each failure factor of each safety device. The updating module updates the SOD score of each failure factor of each safety device according to the live inspection information. The calculating module calculates a grey correlation degree of each safety device according to updated SOD score. The sorting module outputs a risk sorting list of the plurality of safety devices of the area according to the grey correlation degree of each safety device. A risk managing method is also provided.

Abstract: Operation of an industrial asset control system may be simulated or monitored under various operating conditions to generate a set of operating results. Subsets of the operating results may be used to calculate a normalization function for each of a plurality of operating conditions. Streams of monitoring node signal values over time may be received that represent a current operation of the industrial asset control system. A threat detection platform may then dynamically calculate normalized monitoring node signal values based at least in part on a normalization function in an operating mode database. For each stream of normalized monitoring node signal values, a current monitoring node feature vector may be generated and compared with a corresponding decision boundary for that monitoring node, the decision boundary separating normal and abnormal states for that monitoring node. A threat alert signal may then be automatically transmitted based on results of those comparisons.

Abstract: Embodiments disclosed herein describe a server, for example a security awareness server or an artificial intelligence machine learning system that establishes a risk score or vulnerable for a user of a security awareness system, or for a group of users of a security awareness system. The server may create a frequency score for a user, which predicts the frequency at which the user is to be hit with a malicious attack. The frequency score may be based on at least a job score, which may be represented by a value that is based on the type of job the user has, and a breach score that may be represented by a value that is based on the user's level of exposure to email.

Abstract: To curb deterioration of user convenience due to software update of a water warmer in a communication system between a management server and the water warmer through a relay device. A communication adaptor executes first communication for inquiring of the water warmer whether or not software update accompanying writing of an update program is capable of being started. The water warmer gives a notification for obtaining a user's consent to occurrence of an unavailable period of the water warmer due to the software update in response to the first communication, and executes second communication on the communication adaptor in a case in which the user's consent is obtained with respect to the notification. The communication adaptor transmits the update program received from a server to the water warmer in response to the second communication, and the water warmer executes the software update using the received update program.

Abstract: Techniques are provided that produce a risk profile consisting of a risk score and trends of risk scores across devices and sensors in a machine-to-machine (M2M) or Internet of things (IOT) environment. For example, a device is assigned a risk score which is based on baseline factors such as expected network packets between two devices, normal network packets, access to critical devices, authorized access requests from one device to another device, normal communications to a device, and the critical ports of a device; access to and conflicts across physical, logical, and operational systems; historical and current usage of these systems, and anomalies from normal behavior patterns. Techniques encompass risk management by computing a risk score in a timely fashion in accordance with an architecture that enables achieving the required scaling necessitated by the huge number of devices in the machine-to-machine (M2M) or Internet of things (IOT) environment.

Abstract: Embodiments are directed to performing risk-based software validation and to applying change control when upgrading a software application. In one scenario, a computer system calculates a risk score for features in a software application. This risk score indicates a relative level of risk for installing and using the software application. The computer system performs internal usage testing to determine how the software application is recommended for use, and conducts use tests to determine how a specified client uses the features of the software application as compared to the determined recommended use. Then, based on the calculated risk and the determined use of the features, the computer system provides a recommendation for the specified client indicating which portions of the software application are to undergo client-specific validation. In another scenario, a computer system applies change control when upgrading a software application from a first version to a second version.

Abstract: Techniques for determining one or more replication paths for resources in different failure domains, while maintaining a target resiliency level, are disclosed. A replication path is a sequence of at least a subset of the set of resources. Based on the sequence, a resource is selected for replicating at least a portion of the resource consumers corresponding to each of the subset of resources. A replication path may be determined by adding a resource to the replication path and/or replacing one resource with another resource to modify the replication path. The modified replication path maintains the target resiliency level if the modified replication path does not include any loop of a length less than or equal to the target resiliency level.

Abstract: A method, in a data processing system comprising a processor and a memory, for analyzing product impact, the method comprising receiving, by the data processing system, data representative of an entity's operations, receiving, by the data processing system, a selection of one or more products, parsing, by the data processing system, features of the one or more products from product data input, and generating, by the data processing system, product profiles for the one or more products based on the parsed features. The method further comprising generating, by the data processing system, risk assessment data based on the data representative of the entity's operations and the product profiles, the risk assessment data including an indication of one or more changes in risk metrics of one or more risk components associated with the entity's operations by offering the one or more products.

Abstract: Methods and apparatus of modeling work vehicle data and predicting machine failures based on the same are disclosed. An example apparatus includes a text miner to text mine first alert data to identify a first machine failure within the first alert data; a failure alert sequence identifier to identify a first alert sequence associated with the first machine failure; a conditional probability determiner to determine a conditional probability of the first alert sequence leading to failure based on i) a number of work machines in which the first alert sequence ended in failure and ii) a number of work machines in which the first alert sequence did not end in failure; and a collator to update a model by correlating the first alert sequence with the first machine failure and first probable parts used to repair the first machine failure.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for receiving data related to a first flight risk factor and a second flight risk factor where the first and second risk factors include one of: a proficiency risk factor, an equipment risk factor, an environmental risk factor, or a performance risk factor. Applying a first weighting to the first flight risk factor to generate a first weighted flight risk factor, and applying a second weighting to the second flight risk factor to generate a second weighted flight risk factor. Assessing a flight risk level for a flight based on the first weighted flight risk factor and the second weighted flight risk factor, Providing data indicating the assessed flight risk level for the flight for display to a user.

Abstract: Computer-implemented systems and methods to quantify risk associated with suppliers or geographic locations at which suppliers or global internal delivery centers are located. The systems and methods transform risk parameter data into risk metrics that allow comparison of relative risk between suppliers, supplier sites, or geographic locations, and allow comparison of risk metrics to minimum risk scores calculated for a given metric. The systems and methods further provide guidance/proposed action to take based on the generated risk metrics.

Abstract: Systems and methods for generating online content creator profiles and providing a searchable platform for the online content creator profiles. Creator information, online content information, and/or other information may be obtained from multiple online sources. The creator information, online content information, and/or other information may be organized into creator profiles for individual ones of the creators. User defined search parameters defining a search query may be received. The user defined search parameters may indicate one or both of the creator information, the online content information, and/or other information. One or more of the individual ones of the creators may be identified based on the creator information and/or the online content information included in the creator profiles for the one or more of the individual ones of the creators satisfying the user defined search parameters.

Abstract: A multiplier is utilized to quantify a cybersecurity risk level of a portfolio of entities (e.g., companies) and enable actions to mitigate that quantified risk. In doing so, features or attributes of one or more companies in a portfolio are compared to features or attributes of one or more companies that experienced an adverse cybersecurity event (e.g. a data breach). Further, a degree of dependency, such as a matrix of a number of shared vendors and the proximity of those vendors to the companies, can be measured between (1) portfolio companies and one or more companies that experienced a cybersecurity event, and/or (2) the portfolio companies themselves to better quantify the risk. That is, to more meaningfully analyze a cybersecurity event that occurred at one or more companies and better predict the likelihood of an occurrence at portfolio companies, embodiments can determine an n-degree interdependency between companies.

Abstract: Embodiments of the invention generally relate to methods and systems for operating authorization rules. An authorization rule has conditions that may be satisfied by an authorization request. A rule is rotated between the first mode and the second mode over a time interval wherein a first set of authorization requests are received. A first subset of the first set of authorization requests may not be rejected. After the first time interval, the authorization requests that were not rejected may be validated through an independent process. An accuracy rate for the rule is determined based on the portion of authorization requests that are valid and satisfied the conditions of the rule.

Abstract: A job that receives as input a data stream is executed. For the job, it is iteratively determined a backlog growth over a first period of time; a backlog volume; and whether to adjust a quantity of processing resources. For each iteration for which the quantity of processing resources allocated to the job are determined to be adjusted, adjusting the quantity of processing resources allocated to the job. For each iteration for which the quantity of processing resources allocated to the job are determined not to be adjusted, maintaining the quantity of processing resources allocated to the job.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for incident response are disclosed. In one aspect, a computer-implemented method includes receiving data identifying two or more groups of actions performed to remediate a computer security threat. The method includes determining first unique paths from a first action of each of the two or more groups of actions to a second action of each of the two or more groups of actions, and determining second unique paths from the second action of each of the two or more groups of actions to a third action of each of the two or more groups of actions. The method also includes combining common paths among the first unique paths and the second unique paths, identifying one of the common paths that appears most frequently, and determining a core path that includes a subset of the actions of the two or more groups of actions based on the one of the common paths that appears most frequently.

Abstract: A compliance determination and enforcement platform is described. A plurality of factors are stored in association with each of a plurality of accounts. A factor entering module enters factors from each user account into a compliance score model. The compliance score model determines a compliance score for each one of the accounts based on the respective factors associated with the respective account. A comparator compares the compliance score for each account with a compliance reference score to determine a subset of the accounts that fail compliance and a subset of the accounts that meet compliance. A flagging unit flags the user accounts that fail compliance to indicate non-compliant accounts. A corrective action system allows for determining, for each one of the accounts that is flagged as non-compliant, whether the account is bad or good, entering the determination into a feedback system and closing the account.

Abstract: A compliance determination and enforcement platform is described. A plurality of factors are stored in association with each of a plurality of accounts. A factor entering module enters factors from each user account into a compliance score model. The compliance score model determines a compliance score for each one of the accounts based on the respective factors associated with the respective account. A comparator compares the compliance score for each account with a compliance reference score to determine a subset of the accounts that fail compliance and a subset of the accounts that meet compliance. A flagging unit flags the user accounts that fail compliance to indicate non-compliant accounts. A corrective action system allows for determining, for each one of the accounts that is flagged as non-compliant, whether the account is bad or good, entering the determination into a feedback system and closing the account.

Abstract: Data processing systems and methods, according to various embodiments are adapted for efficiently processing data to allow for the streamlined assessment of the risk level associated with particular privacy campaigns. The systems may provide a centralized repository of templates of privacy-related question/answer pairings for various vendors, products (e.g., software products), and services. Different entities may electronically access the templates (which may be periodically updated and centrally audited) and customize the templates for evaluating the risk associated with the entities' respective business endeavors that involve the relevant vendors, products, or services.

Abstract: Various embodiments are generally directed to techniques to build and train a machine learning model with features of which at least one feature corresponds to risk indicia and at least one other feature corresponds to a data source. These features, in general, provide data (e.g., values) indicating a degree of relevance between a particular record and a risk assessment of that particular record's subject matter. User refinement in the form of user selections and other interactions with the particular record and other records provide insights into proper risk management.

Abstract: Data processing systems and methods, according to various embodiments are adapted for efficiently processing data to allow for the streamlined assessment of the risk level associated with particular privacy campaigns. The systems may provide a centralized repository of templates of privacy-related question/answer pairings for various vendors, products (e.g., software products), and services. Different entities may electronically access the templates (which may be periodically updated and centrally audited) and customize the templates for evaluating the risk associated with the entities' respective business endeavors that involve the relevant vendors, products, or services.

Abstract: In some implementations, a method includes conducting, by a network device, a query associated with a network function chain comprising a plurality of switches and middleboxes to verify whether a service performed by the network function chain complies with a Service Level Agreement (SLA); computing, by the network device, based on a result of the query, a difference in metric value between an actual performance metric of a packet passing through a path in the network function chain and an expected performance metric of the packet passing through the path; deriving, by the network device, a probability of SLA violation associated with the path based on the difference in metric value; and selectively monitoring, by the network device, a network of network function chains by monitoring the path for passive performance measurements based on the probability of SLA violation.

Abstract: A method and platform for improving one or more commutes comprises gathering data about one or more metrics of at least one user's commute; analyzing one or more alternate types of commutes available to the at least one user; creating, based on the data about one or more metrics and the analysis of the one or more alternate types of commutes available, a commuter score for the at least one user; and displaying one or more recommendations to the at least one user for improving the commuter score.