Abstract: A method for accessing a network resource including detecting an attempt by a user via a computing device to access a service enabled by a computing system via a network and transmitting via the network to the computing system a first request to access the service in response to detecting the attempt by the user to access the service, the first request including at least one empty personally identifiable data structure. A failure to access the service responsive to the first request is determined. A second request to access the service in response to the first failure to access the service is transmitted via the network to the computing system, the second request including artificial personally identifiable information, and access to the service from the computing system is received for the user.

Abstract: Systems and methods for transacting over a network. A first agent and a second agent are provided. The second agent is operable to transact with a third agent for use of a network-enabled service based on a first transaction policy from a fourth agent, the third agent enabled to communicate with a fifth agent. The first agent is operable to communicate with the second agent to facilitate the transacting by the second agent with the third agent for the use of the network-enabled service based on the first transaction policy and communicate with the fifth agent to facilitate the transacting by the second agent with the third agent for the use of the network-enabled service.

Abstract: Systems and methods for classifying user intent based on the user interaction with an entry bar on a user device include receiving an input from a user in an entry box; classifying the input into a category of a plurality of categories including a category for an Artificial Intelligence (AI) session for an AI agent; and performing an action responsive to the classified category, including utilizing the AI agent for the AI session when the category is the category for the AI session and bypassing the AI agent for other categories of the plurality of categories.

Abstract: A malware classification system provides improved confidence in explanations of neural network classification outputs using methods such as weighting or masking when training the neural network to train the network on a sample resembling or including the explanation. The explanation in some examples comprises a subset of a hierarchical input vector that is responsible for the neural network's classification output. In another example the neural network has an inner portion configured to reduce the weight of elements of the output not significantly contributing to the explanation of the output, such as by reducing the weight of as many such outputs to zero as is practical in generating the desired output.

Abstract: A method and system detects at a plurality of network locations a plurality of accuracy ratings of a plurality of media instances and detects the plurality of media instances. A particular accuracy rating of one or more particular media instances is detected at a particular network location, and the one or more particular media instances are detected. A bias of the particular accuracy rating is determined based on the particular accuracy rating, the one or more particular media instances, the plurality of accuracy ratings, and the plurality of media instances. An indication is transmitted to a user based on the bias of the particular accuracy rating.

Abstract: Systems and methods for in-transit email review and data collection. In one embodiment, a method may include receiving a plurality of original emails at an alias email address. The alias email address may be associated with a user. Once a plurality of original emails are received at the alias email address, the method may include analyzing the plurality of original emails to identify relevant data contained within the plurality of original emails, and storing a copy of the identified relevant data in a database that is accessible by the user.

Abstract: Systems and methods for transacting over a network is provided. The system includes a first agent and second agent. The first agent is operable to receive from a third agent a transaction code associated with one or more credential types required to apply the transaction code or with one or more credential claim types required to apply the transaction code, transmit the transaction code to the second agent, and receive from the second agent a digitally signed transaction, a first verifiable proof, and the transaction code. The first agent is further operable to transmit to a fourth agent a second verifiable proof based on the first verifiable proof and the transaction code, receive from the fourth agent an unlock signature for a locked credential including one or more credential claims, and transmit the unlock signature to the second agent.

Abstract: A system and method are provided by which an electronic address associated with a user is monitored. Based on the monitoring, an electronic message is detected including a digital document. A cryptographic function is applied to the digital document to generate a hash which is rendered accessible at a network location. An identification of the network location of the hash is transmitted to a first computing system associated with the user.

Abstract: Systems and methods for classifying user intent based on the user interaction with an entry bar on a user device include receiving an input from a user in an entry box; classifying the input into a category of a plurality of categories including a category for an Artificial Intelligence (AI) session for an AI agent; and performing an action responsive to the classified category, including utilizing the AI agent for the AI session when the category is the category for the AI session and bypassing the AI agent for other categories of the plurality of categories.

Abstract: Systems and methods for Artificial Intelligence (AI) model bundling and splitting for widescale distribution include obtaining an Artificial Intelligence (AI) model having a plurality of layers; producing a plurality of slices, each slice is a layer and an associated encoding of the layer; determining a header and a trailer each defining a previous slice and a next slice, respectively, and optimization coefficients; and serving the plurality of slices and corresponding headers, trailers, and optimization coefficients.

Abstract: Systems and methos for using general-purpose Artificial Intelligence (AI) models as special purpose classifiers include utilizing a prompt for a general-purpose model with the prompt including instructions to perform a classification of an input into one of a plurality of categories; tokenizing the prompt and the input into a plurality tokens including a unique token for each of the plurality of categories; biasing weights of the plurality of tokens such that the unique token for each of the plurality of categories have greater weights than other tokens of the plurality of tokens; and inputting the plurality of tokens with their corresponding weights into the AI model.

Abstract: Systems and methods are provided as an AI-powered web browser companion. A method, according to one implementation, includes a step of locally monitoring user interactions during a web browsing session associated with a client device operating within a browser environment. The method also includes a step of locally determining user interests, user preferences, and behavioral patterns based on the monitored user interactions and further based on previously stored web browsing sessions. Furthermore, the method includes a step of providing personalized content and predictive navigation assistance in the browser environment based on the user interests, user preferences, and behavioral patterns.

Abstract: Systems and methods are provided as a web page management tool. A method, according to one implementation, includes a step of analyzing a plurality of browsing pages that are currently open and active on a Graphical User Interface (GUI), each browsing page related to a user browsing session. The method also includes a step of employing a Machine Learning (ML) model to determine when to close one or more pages of the plurality of browsing pages based on predefined conditions. Before closing the one or more pages, the method also includes a step of archiving metadata and at least a portion of content related to each of the one or more pages to thereby enable a user to retrieve at least a portion of the one or more pages at a later time.

Abstract: Systems and methods for maintaining user privacy in reverse personal information searches are disclosed. A user seeking to search a network (such as the Internet) for instances of one or more digital assets belonging to the user uploads the digital assets to the server system where they are stored in a secure, encrypted storage. A threshold value defines how similar a located digital asset must be to an original digital asset in order to be considered a match. The server system assembles queries to search for unauthorized instances of the user's digital assets and performs the search. Located assets and their locations (URL, IP address, etc.) are stored for access and viewing by the authorized user. Uploaded digital assets and search results are encrypted so that the operator of the server system cannot view the original digital assets or the search results to further protect the authorized user's privacy.

Abstract: An electronic tracking protection system and method enable receiving a particular electronic message, detecting in the particular electronic message a link including a particular uniform resource locator (“URL”) including a parameter including a value. A uniqueness of the value is determined and the parameter is removed from the particular URL based on the uniqueness of the value to generate a modified URL. The particular URL is replaced with the modified URL in the particular electronic message based on the uniqueness of the value to generate a modified electronic message.

Abstract: A computer-implemented method for dynamically disabling third-party web browser extensions during online browsing sessions may include (i) detecting initiation of a target online browsing session including one or more websites, (ii) determining browser extensions associated with the websites, and (iii) performing a security action that protects against a data privacy invasion by disabling the browser extensions for a duration of the target online browsing session. Various other methods, systems, and computer-readable media are also disclosed.

Abstract: The disclosed computer-implemented method for utilizing a browser extension to encrypt online payment information may include (i) detecting, utilizing the browser extension, a payment form provided by an online merchant during a customer transaction session, (ii) determining a record in a payment service provider database that identifies the online merchant, (iii) receiving, by the one or more computing devices, payment information for completing the payment form, and (iv) performing a security action that protects against a potential malware attack by encrypting the payment information in the payment form for validation by a payment gateway provider and completing the customer transaction session. Various other methods, systems, and computer-readable media are also disclosed.

Abstract: Assigning privacy ratings to tracking domains in order to increase user awareness of online privacy violations. A list of known tracking domains and raw data from a set of host websites may be received. A prevalence, frequency, and role for each tracking domain may be determined from the raw data. Each tracking domain may be assigned to a prevalence cluster, a frequency cluster, and a role cluster. A rank may be determined for each prevalence cluster, frequency cluster, and role cluster. A domain privacy rating may be assigned to each tracking domain that is based on the ranks of the clusters to which each tracking domain is assigned. A privacy action may be performed based on the domain privacy rating assigned to each tracking domain.

Abstract: Methods and systems for protecting against harm caused by malicious websites are disclosed. Exemplary embodiments of the present disclosure may protect against harm caused by malicious websites by identifying malicious websites more accurately and reliably. In particular, some embodiments of the present disclosure may receive first resource data from a first web page on a website that is accessed by a first user and second resource data from a second web page on the website that is accessed by a second user. This resource data may be correlated and analyzed. Based on this analysis, a determination may be made that the website is malicious and a security action can be performed.

Abstract: Systems and methods for protecting private information during large language module (LLM) interactions. In one embodiment, an LLM gateway may route user prompts through a client server that possesses its own access credentials to an LLM server. The access credentials of the client server may be separate from and unassociated with the user. The client server may access the LLM using its own access credentials, submit the user's prompt to the LLM server, and return the results to the user. Routing user prompts through a client server that possesses its own LLM access credentials may help to ensure that user prompts cannot be traced back to the user or to personal information that a user disclosed in order to gain access to an LLM server.