Abstract: A method for legacy-based access to non-legacy data includes: receiving, at an intermediation server, a non-legacy data object containing non-legacy content; generating a legacy data object containing the non-legacy content, for storage in a repository; storing, in association with the legacy data object, a non-legacy distribution channel indicator; adjusting a legacy processing mechanism at the repository according to the non-legacy distribution channel indicator; receiving from a client subsystem, via a legacy interface, a request for the non-legacy content; and in response to the request, retrieving and sending the legacy data object containing the non-legacy content, via the legacy interface.

Abstract: Systems and methods are disclosed herein for generating and modifying a workflow comprising a series of webpages based on an online document. A document management system accesses an online document selected by a user and classifies each field of the online document into one of a set of categories. For each category, the system generates a form webpage comprising questions corresponding to each field classified as the category and combines the generated webpages to create a workflow. The system may modify the workflow by generating and adding one or more additional form webpages based on one or more answers provided by an entity completing the webform page. In response to the entity completing the modified generated workflow, the system generates a completed document based on the online document and the answers provided by the entity.

Abstract: A computer-implemented method is provided whereby an equation with a cost function for minimization is solved by a tensor network. Coefficients of tensors of the tensor network are modified so as to reduce a value of the cost function in an iterative process until convergence is reached, at which point the concerned Unconstrained Optimization problem is solved and the values of the variables of the cost function are provided.

Abstract: A system for determining the frequency coefficients of a one or multi-dimensional signal that is sparse in the frequency domain includes determining the locations of the non-zero frequency coefficients, and then determining values of the coefficients using the determined locations. If N is total number of frequency coefficients across the one or more dimension of the signal, and if R is an upper bound of the number of non-zero ones of these frequency coefficients, the systems requires up to (O(Rlog(R) (N))) samples and has a computation complexity of up to O(Rlog2(R) log (N). The system and the processing technique are stable to low-level noise and can exhibit only a small probability of failure. The frequency coefficients can be real and positive or they can be complex numbers.

Abstract: Provided is an arithmetic method of performing convolution operation in convolutional layers of a neutral network by calculating matrix products. The arithmetic method includes: determining, for each of the convolutional layers, whether an amount of input data to be inputted to the convolutional layer is smaller than or equal to a predetermined amount of data; selecting a first arithmetic mode and performing convolution operation in the first arithmetic mode, when the amount of input data is determined to be smaller than or equal to the predetermined amount of data in the determining; selecting a second arithmetic mode and performing convolution operation in the second arithmetic mode, when the amount of input data is determined to be larger than the predetermined amount of data in the determining; and outputting output data which is a result obtained by performing convolution operation.

Abstract: A method of manufacturing an apparatus is provided. The apparatus is formed on a wafer or a package. The apparatus includes a polynomial generator, a plurality of matrix generators connected to an output of the polynomial generator, and a convolution generator connected to an output of the plurality of matrix generators. The apparatus is tested using one or more electrical to optical converters, one or more optical splitters, and one or more optical to electrical converters.

Abstract: A convolution calculation apparatus applied for convolution calculation of a convolution layer includes a decompression circuit, a data combination circuit and a calculation circuit. The decompression circuit decompresses compressed weighting data of a convolution kernel of the convolution layer to generate decompressed weighting data. The data combination circuit combines the decompressed weighting data and non-compressed data of the convolution kernel to restore a data order of weighting data of the convolution kernel. The calculation circuit performs calculation according to the weighting data of the convolution kernel and input data of the convolution layer.

Abstract: Methods, systems, and apparatus for a matrix multiply unit implemented as a systolic array of cells are disclosed. Each cell of the matrix multiply includes: a weight matrix register configured to receive a weight input from either a transposed or a non-transposed weight shift register; a transposed weight shift register configured to receive a weight input from a horizontal direction to be stored in the weight matrix register; a non-transposed weight shift register configured to receive a weight input from a vertical direction to be stored in the weight matrix register; and a multiply unit that is coupled to the weight matrix register and configured to multiply the weight input of the weight matrix register with a vector data input in order to obtain a multiplication result.

Abstract: Disclosed in the present invention are a method and system for evaluating a fractal dimension of particle matter in a dispersing system. The method includes: setting that distribution of a particle radius r of particle matter in a dispersing system obeys logarithmic normal distribution lnr˜N(?, ?2) with an expectation ? and a standard deviation ?, and determining the value of the standard deviation ?; and evaluating a fractal dimension Dƒ of the dispersing system on the basis of the standard deviation ?, an evaluation formula being: Dƒ=1/?. The present invention provides the formula for evaluating the fractal dimension of particle distribution in a dispersing system. When the formula is used to calculate a fractal dimension, only particle radius distribution of particle matter needs to be measured, and no geometrical morphology feature parameter of the particle matter needs to be measured. Factors such as particle morphology and the like do not affect the fractal dimension.

Abstract: Methods, systems, and computer-readable media for generating a statistically covaried machine learning model for performance measurement of service providers. The method receives a configuration file that includes one or more parameters associated with a plurality of individuals and parses it to generate and executing the database query on input data to generate sets of tabulated data of individuals of the plurality of individuals. The method next determines one or more measures of service providers listed in the configuration file using two or more tabulated data of individuals from the sets of tabulated data of individuals. The method finally generates a covaried machine learning model by training a machine learning model by statistically covarying measures and using them as training data.

Abstract: Techniques for grouping system logs using machine learning. The techniques include deriving an input matrix from the logs, in which rows represent the logs and columns represent unique words in the logs. The techniques include applying a TF-IDF algorithm to the input matrix and deriving a TF-IDF matrix from the TF-IDF algorithm output. The TF-IDF matrix reflects how important the unique words are to the respective logs. The techniques include applying a PCA algorithm to the TF-IDF matrix and deriving a PCA matrix having a reduced dimensionality from the PCA algorithm output. The techniques include applying a Cosine Similarity algorithm to the PCA matrix and deriving CS matrices from the CS algorithm output. Each CS matrix reflects the cosine similarity of a respective log relative to all the other logs. The techniques include applying a clustering algorithm to the CS matrices and deriving log groupings from the clustering algorithm output.

Abstract: A first classification is received from a neural network regarding a training dataset sent to the neural network. A modified training dataset with a perturbation of the training dataset is identified, where this modified training dataset causes the neural network to return a second classification. The perturbation is analyzed to identify a negative rule of the neural network.

Abstract: A system and method for facilitating autonomous target selection through neural networks is disclosed. The method includes receiving a request from a user to select a target from one or more targets for an agent to perform one or more activities and receiving one or more input parameters. The method further includes generating an expected reward value for each of the one or more targets and determining a desired target among the one or more targets based on the generated expected reward or empirical estimation. Further, the method includes generating one or more actions to be executed by the agent corresponding to the desired by using a trained policy network based ANN model and outputting the determined one or more actions to at least one of: the agent and one or more user devices associated with the user for performing the one or more activities.

Abstract: Systems, methods, and computer-readable media are disclosed for visual labeling of training data items for training a machine learning model. Training data items may be generated for training the machine learning model. Visual labels, such as QR codes, may be created for the training data items. The creation of the training data item and the visual label may be automated. The visual labels and the training data items may be combined to obtain a labeled training data item. The labeled training data item may comprise a separator to distinguish the training data item from the visual label. The labeled training data item may be used for training and validation of the machine learning model. The machine learning model may analyze the training data item, attempt to identify the training data item, and compare the identification against the embedded label.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for realizing a multimodal image classifier. In an aspect, a method includes, for each image of a plurality of images: processing the image by a textual generator model to obtain a set of phrases that are descriptive of the content of the image, wherein each phrase is one or more terms, processing the set of phrases by a textual embedding model to obtain an embedding of predicted text for the image, and processing the image using an image embedding model to obtain an embedding of image pixels of the image. Then a multimodal image classifier is trained on the embeddings of predicted text for the images and the embeddings of image pixels for the images to produce, as output, labels of an output taxonomy to classify an image based on the image as input.

Abstract: Techniques are provided herein for retrieving images that correspond to a target subject matter within a target context. Although useful in a number of applications, the techniques provided herein are particularly useful in contextual product association and visualization. A method is provided to apply product images to a neural network. The neural network is configured to classify the products in the images. The images are associated with a context representing the combination of classified products in the images. These techniques leverage both seller-provided images of products and user-generated content, which potentially includes hundreds or thousands of images of the same or similar products as the seller-provided images. A graphical user interface is configured to permit a user to select the context of interest in which to visualize the products.

Abstract: As agents move about a materials handling facility, tracklets representative of the position of each agent are maintained along with a confidence score indicating a confidence that the position of the agent is known. If the confidence score falls below a threshold level, image data of the agent associated with the low confidence score is obtained and processed to generate one or more embedding vectors representative of the agent at a current position. Those embedding vectors are then compared with embedding vectors of other candidate agents to determine a set of embedding vectors having a highest similarity. The candidate agent represented by the set of embedding vectors having the highest similarity score is determined to be the agent and the position of that candidate agent is updated to the current position, thereby re-identifying the agent.

Abstract: An image positioning device is provided in the invention. The image positioning device includes a calculation circuit and a positioning circuit. The calculation circuit obtains a plurality of images from an image capturing device and classifies the images into a plurality of main groups based on a first algorithm, wherein each main group corresponds to a different area and the calculation circuit classifies the images of each main group into a plurality of sub-groups based on a feature of each image of each main group and a clustering algorithm. The positioning circuit is coupled to the calculation circuit. The positioning circuit positions each sub-group in the area corresponding to each main group based on the relative position relationship between each sub-group of each main group.

Abstract: The present invention makes an efficient diagnosis of an object. A general server 3 of a diagnostic assistance system 1 provides data (a large volume of photographic images) concerning an object managed by each client, to said client and a plurality of analysts and experts, and allows such diagnosers to diagnose the object and enables sharing of diagnosis results among the diagnosers. The plurality of analysts each partially contribute in viewing the large volume of photographic images so as to find an abnormal site in the object. The client and the experts then conduct a more detailed diagnosis on the abnormal site discovered by the analysts. An AI server 5 of the diagnostic assistance system 1 creates training data from the diagnosis results provided by the plurality of diagnosers, performs machine learning on the diagnosis results, and carries out automated diagnosis using the learned method.

Abstract: In some aspects, a user device may detect an authentication event associated with unlocking the user device. The user device may determine, based at least in part on sensor data from a sensor of the user device, an environmental context of the user device. The user device may select, from a plurality of authentication functions of the user device, an authentication function based at least in part on the environmental context of the user device. The user device may activate an authentication component that is associated with the authentication function to authenticate a user in association with unlocking the user device. Numerous other aspects are provided.

Abstract: Methods, systems, and apparatuses are described herein for improving the accuracy of authentication questions using transaction limitations provided by users. A request for access to an account associated with a user may be received from a user device. An account restrictions database may be queried to determine one or more transaction rules associated with the account. The one or more transaction rules may have been created by the user and indicate limitations on financial transactions that may be performed via the account. An authentication question may be generated that is associated with a violation of the one or more transaction rules. The authentication question may be provided to the user device, and a response to the authentication question may be received. Access to the account may be provided to the user device based on the response.

Abstract: Systems and methods are provided for establishing personal connections between blinded secure non-random interested users. In an embodiment, at least one processor may be configured to execute instructions to perform operations comprising: receiving a first input from a first user comprising first identification parameters associated with a second user; receiving a second input from the second user comprising second identification parameters associated with the first user; determining a match based on the first and second inputs; and based on the determined match, notifying at least one of the first or second users of the determined match.

Abstract: An electronic device is disclosed that includes a camera, a display, and a processor.

Abstract: Systems and methods may generally be used to authenticate a user. An example method may include capturing an image of a portion of a face of a user, retrieving, based on identification information, a registered model of the face from a database, and comparing the portion of the face in the captured image to a facial feature of the registered model. In response to determining that the portion of the captured image matches the facial feature of the registered model, the method may include granting access to secure content.

Abstract: A system is provided for secure verification of authentication data using quantum computing and a distributed server network. In particular, the system may store a reference set of authentication data associated with a user within a distributed server database in an encrypted form. Subsequently, when the system receives live set of authentication data associated with the user, the system may, using a quantum authenticator, compare the encrypted live set of authentication data with the encrypted reference set of authentication data for authorization purposes. The system may further comprise a quantum machine learning authorization engine which may track historical data and/or settings associated with the user to model and predict behavior patterns of the user. In this way, the system provides a secure and efficient way to perform authentication and/or authorization of the user.

Abstract: An identification system device includes an identification element processing unit that generates identification elements based on sound information including a frequency of a sound source or a frequency of a sound. An ID conversion processing unit that generates an ID based on the sound information, an information generation processing unit generates identification information by associating the ID with the identification elements, a memory unit stores the identification information, and a judgment unit compares the identification information with newly generated identification elements to determine whether or not both are the sound information from the same sound source. The ID conversion processing unit generates the new ID related to the ID when the determination was the sound information from the same sound source, and the information generation processing unit generates a new identification information by associating the new ID with the newly generated identification elements.

Abstract: Methods for enabling passwordless authentication to ancillary devices and services of a user by utilizing a mobile device of that same user. Systems and machine-readable media are also provided.

Abstract: User identification with blended response from dual-layer identification service. In one embodiment, a server comprising an electronic processor configured to detect an access request by a user of a user interface device, retrieve a plurality of input profile records from an input profile record repository, perform an identification of the user with one or more passive biometrics models and the plurality of input profile records that are retrieved, generate an identification response and an additional identification request based on an outcome of the identification of the user, control the communication interface to transmit the additional identification request to the second server via the network, receive a second identification response from the second server, and generate a blended response by modifying one or more characteristics of the identification response with the second identification response, the blended response indicating the identification of the user.

Abstract: A method including receiving, by a second user device, an authentication message indicating that the second user device is to authenticate a first user device with a service provider that provides a service to the first user device; determining, by the second user device, one or more authentication factors associated with authenticating the first user device with the service provider; encrypting, by the second user device, the one or more authentication factors based at least in part on utilizing an encryption key associated with a trusted device included in the first user device; and transmitting, by the second user device, one or more encrypted authentication factors to enable authentication of the first user device with the service provider is disclosed. Various other aspects are contemplated.

Abstract: In some implementations, an authorization device generate a decision to reject an authorization request that includes a credential associated with a user based on one or more inconsistencies between entity information provided in the authorization request and authorized entity information associated with the credential. The authorization device may transmit, to a biometric-enabled device associated with the user, a message that causes the biometric-enabled device to display a prompt indicating the one or more inconsistencies between the entity information provided in the authorization request and the authorized entity information associated with the credential. In some implementations, the prompt may further enable the user to provide a biometric input to authorize the entity information provided in the authorization request.

Abstract: Systems and methods for controlling measurement units for a medical scale. One system includes a removable head unit configured to couple to a medical scale platform. The removable head unit includes a human machine interface (HMI) and an electronic processor coupled to the human machine interface. The electronic processor is configured to receive, via the HMI, a first user input selecting a permanent lock mode. The electronic processor is configured to, in response to receiving the user input, present a first authentication request and receive a second user input including a first authentication token. The electronic processor is configured to, when the first authentication token is valid, present a measurement unit selection prompt. The electronic processor is configured to receive a second user input selecting a measurement unit and, in response to receiving the second user input, activate the permanent lock mode based on the selected measurement unit.

Abstract: Disclosed embodiments relate to passwordless authentication. Techniques include identifying a request by a user to access an access-restricted target resource, the user operating on a client computing device and the request being associated with a network address for the access-restricted target resource; intercepting the request; generating a unique session identifier for the user; making available the unique session identifier to the user of the client computing device; performing dual-mode, passwordless authentication of the user; confirming, based on the dual-mode, passwordless authentication of the user, the identity of the user and the user's current use of the client computing device; and permitting, based on the confirmation, the user to access the access-restricted target resource.

Abstract: Systems and methods are provided for child-friendly authentication for autonomous vehicle rides. In particular, systems and methods are provided for offering alternative authentication methods that automatically engage child-friendly features. The systems and methods provided enable unsupervised children to take advantage of autonomous rideshare and delivery programs using child-friendly authentication methods. Additionally, augmented autonomous vehicle safety and security practices for children are provided.

Abstract: A system, method, and computer-readable recording media for a user account secure with a single sign on (SSO) password hidden authentication. Receiving credential information (CI) and generating the SSO password through at least one client device (CD). Encrypting the SSO password. Storing the SSO password in the CD and an electronic device (ED). Transmit the SSO password and encrypted SSO password to a cloud services platform (CSP), where the CSP stores both. Storing the SSO password in a cloud server (CS). Accessing the user account, if SSO password is unavailable, through the CSP transmitting a one time passcode to a user email, the CD setting a temporary password transferred to the CSP. The CSP confirming a match and transmitting the encrypted SSO password to the CD, the CD decrypting the encrypted SSO password and resetting the temporary password to the SSO password.

Abstract: An electronic device includes a communication device electronically communicating with a content presentation companion device operating as a primary display for the electronic device and an augmented reality companion device. One or more sensors detect multiple persons within an environment of the electronic device while the content presentation companion device operates as the primary display for the electronic device. One or more processors automatically log a person operating the augmented reality companion device into the electronic device upon identifying the person operating the augmented reality companion device as being associated an authorized account profile selected from of a plurality of account profiles operable on the electronic device.

Abstract: A communication device may receive from a server authentication information, and may register the authentication information in a memory. The communication device may send first location information in the communication device to the server. The communication device may register a first password in the memory in a case where the authentication information is received from the server and a registration request is received from the terminal device. The communication device may send the authentication information and second location information in the communication device to the server in a case where a first change instruction is obtained after the authentication information and the first password have been registered in the memory. The communication device may change the first password in the memory to a second password in a case where a change request is received from the terminal device.

Abstract: Cloud storage systems and methods are described for providing event-based user state synchronization among the various cloud elements. A global user directory is maintained on a remote cloud storage system. The global user directory includes a plurality of global user definitions associated with a plurality of user accounts, where each of the user accounts has access to at least one of a remote file system hosted by the remote cloud storage system and a local file system hosted by a local cloud storage system. As global user definition are altered on the remote cloud storage system, user events are generated and communicated to the local cloud storage system, where they are applied to synchronize the local user definitions with the global user definitions. The invention facilitates centralized control of user definitions, near real-time event delivery to local cloud storage systems, and separation of authentication processes from customers' active directory services.

Abstract: Systems and methods for deploying countermeasures against unauthorized scripts interfering with the rendering of content elements on information resources are provided herein. A computing device can receive an information resource including a content rendering verification script and a first content element. The computing device can execute the script. The computing device can render the first content element for display on the information resource in a first format. The computing device can determine that the first content element is not successfully displayed in the first format. The computing device can render the first content element for display on the information resource in a second format, responsive to the determination. The computing device can determine that the first content element is successfully displayed in the second format. The computing device can display a second content element of the information resource responsive to the determination.

Abstract: An apparatus, system and method for protecting the confidentiality and integrity of a secure object running on a computer system by protecting the memory pages owned by the secure object, including assigning a secure object an ID, labeling the memory pages owned by a secure object with the ID of the secure object, maintaining an Access Control Monitor (ACM) table for the memory pages on the system, controlling access to memory pages by monitoring load and store instructions and comparing information in the ACM table with the ID of the software that is executing these instructions; and limiting access to a memory page to the owner of the memory page.

Abstract: In one example embodiment, an electronic device is provided and configured to: acquire authentication data for an authorized user; store the authentication data in an enclave; acquire identification data for a potential user, and compare, in the enclave, the identification data to the authentication data for recognizing if the potential user is the authorized user. In another embodiment, a server is provided and includes at least one processor; at least one memory; at least one driver, where the server is configured to: receive assertion data from an electronic device, where the assertion includes an authentication signing key and results from a comparison of acquired data and reference data; and determine it the assertion data is valid by: comparing the results to a threshold; and comparing the authentication signing key to an authentication signing key assigned to the electronic device.

Abstract: Data transfer in a secure processing environment is provided. A digital assistant can receive audio input detected by a microphone of a computing device. The digital assistant can determine, based on the audio input, to invoke a third-party application associated with the computing device. The digital assistant can generate, responsive to the determination to invoke the third-party application, a packaged data object. The digital assistant can forward, to the third-party application invoked by the digital assistant component to execute in a secure processing environment on the computing device, the packaged data object. The third-party application can transmit, responsive to a digital component request triggered in the third-party application, the packaged data object to a digital component selector to execute a real-time selection process based on the packaged data object.

Abstract: The present disclosure relates to computer-implemented methods, software, and systems for managing incompliances of application instances running in a cloud environment. Compliance requests can be generated for incompliant instances of cloud applications running on a cloud platform. In response, compliance checks for the one or more incompliant instances of cloud applications running on the cloud platform can be automatically executed. Incompliances can be identified by different compliance monitors instantiated at the cloud platform. Each compliance monitor is responsible for a particular type of incompliances. In response to identifying that a first instance of a first cloud application has a first type of incompliance, a maintenance action to be automatically executed by a first compliance maintainer running on the cloud platform is scheduled. The first compliance maintainer executes automatically a compliance measurement action for the first type of incompliance.

Abstract: An information processing device includes an element extraction unit that extracts elements relating to actions of an attacker from each input log, a generation unit that generates a parser based on definition information defining the actions of the attacker in a formal grammar, the parser detecting, from a log, a log string having a feature corresponding to an action defined by the definition information, a parsing unit that detects, from a log consisting of the elements extracted by the element extraction unit, log strings having features corresponding to the actions defined by the definition information by using the parser, and a reconstruction unit that reconstructs the log strings detected by the parsing unit, adds a label indicating an action defined by the definition information to each of the reconstructed log strings, and outputs the labeled log strings as a log corresponding to a series of actions of the attacker.

Abstract: The technology disclosed teaches incident-driven and user-targeted data loss prevention that includes a CASB controlling infiltration via cloud-based services storing documents in use by organization users, by monitoring manipulation of the documents. The CASB identifies the cloud-based services that the particular user has access to and at least one document location on the cloud-based services to inspect for sensitive documents, in response to receiving an indication that user credentials have been compromised. The CASB performs deep inspection of documents identified as stored at the location and detects at least some sensitive documents. Based on the detected sensitive documents, the CASB determines an exposure for the organization due to the particular user.

Abstract: A dormant account identifier is disclosed. An inactive account can be determined based on whether a user activity of the account is outside a threshold amount. A determination can be made as to whether the inactive account is a dormant account based on account activity of a peer account to the inactive account.

Abstract: Anomalous activities on a computer network are detected from audit or sign-in activity information of a target entity as recorded in an audit or sign-in log. A baseline graph of the target entity is generated using information on activities of the target entity during a collection period. A predict graph of the target entity is generated with information on activities of the target entity during another collection period, which follows and is shorter than the earlier collection period. A residual graph that indicates nodes or edges that are in the predict graph but not in the baseline graph is generated. The residual graph is scored and the score is compared to a threshold to determine whether the target entity has performed an anomalous activity.

Abstract: An out-of-order and speculative execution microprocessor that mitigates side channel attacks includes a cache memory and fill request generation logic that generates a request to fill the cache memory with a cache line implicated by a memory address that misses in the cache memory. At least one execution pipeline receives first and second load operations, detects a condition in which the first load generates a need for an architectural exception, the second load misses in the cache memory, and the second load is newer in program order than the first load, and prevents state of the cache memory from being affected by the miss of the second load by inhibiting the fill request generation logic from generating a fill request for the second load or by canceling the fill request for the second load if the fill request generation logic has already generated the fill request for the second load.

Abstract: A security agent implemented on a monitored computing device is described herein. The security agent has access to parametric behavioral pattern definitions that, in combination with canonical patterns of behavior, configure the security agent to match observed behavior with known computing behavior that is benign or malignant. This arrangement of the definitions and the pattern of behavior allow the security agent's behavior to be updated by a remote security service without updating a configuration of the security agent. The remote security service can create, modify, and disseminate these definitions and patterns of behavior, giving the security agent real-time ability to respond to new behaviors exhibited by the monitored computing device.

Abstract: A method for detecting a microarchitectural attack on a trusted execution environment (TEE) and/or a violation of an expected execution flow of an application running in the TEE includes implementing a counting thread. An eviction set is loaded in a transaction. The eviction set corresponds to a cache set used by an operation of the application such that a transactional abort is received upon the operation being executed. A value of the counting thread is read upon receiving the transactional abort. These steps are repeated for a next operation of the application running in the TEE and an execution time is measured for the operation based on a difference between the values of the counting thread. The measured execution time for the operation is compared with an expected execution time to detect one or more variations that indicate the microarchitectural attack and/or the violation of the expected execution flow.

Abstract: Systems and methods are provided that may be implemented to monitor unique usage characteristics (e.g., system device usage) of an individual information handling system, and to determine a unique system pre-boot interface (PBI) configuration for the individual information handling system based on these monitored unique usage characteristics. The provided systems and methods may also be implemented to automatically update pre-boot interface security configuration for system devices based on the monitored usage characteristics of the individual information handling system.