A system in a vehicle includes one or more sensors configured to obtain occupant information from an occupant utilizing at least facial information of the occupant. The system also includes a controller in communication with the one or more sensors. The controller is configured to determine an application policy associated with one or more applications of the vehicle and execute the one or more applications in response to facial information exceeding a first authentication layer or second authentication layer associated with the application policy.

A method and a system for modifying network connection access rules using multi factor authentication (MFA) are provided herein. The method may include the following steps: receiving, at a computer network, an access request from a client device; retrieving a user identification data associated with said client device; presenting a message over said client device, wherein the message contains details associated with said access request; responsive to the user confirmation of said details, initiating an MFA process, wherein the MFA process comprises presenting an authentication message over the client device; and only in a case that the user has been authenticated by the MFA process, establishing the requested connection access.

A computer implemented method of access control for a user device having at least one component for determining behaviors of the user. The method including accessing a machine learning classifier trained based on at least one prior behavior of the user using the device, the classifier classifying user behavior as compliant or non-compliant such that compliant behavior is determined by the classifier to be consistent with prior behavior for permitting access to the device. The method further includes, in response to a determination that a subsequent behavior is classified as non-compliant, requesting a credential-based authentication of the user and permitting access to the device in response to the credential-based authentication, wherein permitting access to the device further includes constructively training the classifier based on the subsequent behavior as a compliant behavior by providing the subsequent behavior as an additional training example.

Systems and methods for managing a reputation score of a user based on successful and failed logins, successful and failed multifactor authentications, and profile changes is described. The method includes receiving, by a server, status information of a user event from one or more computing devices. The status information includes one or more of an indicator of a successful login, an indicator of a failed login, an indicator of a successful multifactor authentication, an indicator of a failed multifactor authentication, an indicator of a profile update, and metadata associated with the user event from the one or more computing devices. The server updates events based on a type of the status information received and storing the events in a data store and determines whether a problematic situation has occurred. A reputation score of the user is updated when the problematic situation is determined.

A ledger stores chain of custody information for files throughout an enterprise network. By identifying files with a homologous identifier such as a fuzzy hash that permits piecewise evaluation of similarity, the ledger can be used to track a chain of custody over a sequence of changes in content, ownership, and file properties. The ledger can be used, e.g., to evaluate trustworthiness of a file the first time it is encountered by an endpoint, or to apply enterprise policies based on trust.

This application describes methods, mediums, and systems for verifying a device for use in a messaging system. Using the device verification procedures described, a messaging system can securely authorize new devices to send and receive encrypted messages on behalf of a user, preferably without the need to share a private encryption key between the users' different devices. The application describes several techniques that can be used to provide such a system, including distributing a computer-perceptible code that encodes encryption information between a secondary device and a primary device. This allows the information to be distributed without intervention by a server. Other techniques provide unique ways to build and reverify authorized device lists, distribute encryption keys in chat channels, ensure that lists of authorized devices are distributed in the correct order and remain valid for an appropriate amount of time, add new devices to an ongoing or new conversation, and more.

Multi-factor authentication systems and methods are provided that include receiving a request to authenticate a user of a mobile device. The request for authentication may include credential information associated with the user and vehicle data. A determination may be made regarding whether the vehicle data was obtained from a vehicle via the mobile device. The received vehicle data and received credential information may be compared to stored data. When there is a match between the received vehicle data and received credential information and corresponding stored data, a notification may be provided to the user device indicating that the user has been authenticated.

A method for authenticating users without the need to store factors within the authentication system is provided. For example, the method includes receiving a currently provided first identity factor from a user and generating a matrix of values from the currently provided first identity factor. The method further includes accessing a stored user algorithm for the user and generating an unverified second identity factor. The method also includes receiving a currently provided second identity factor from the user and determining whether the unverified second identity factor matches the currently provided second identity factor.

Techniques are disclosed relating to detecting and prevent phishing attacks (such as man-in-the-middle attacks) related to multi-factor authentication (MFA) or two-factor authentication (2FA) processes. A system is described that makes a determination of whether to permit or deny a subsequent authentication step (e.g., a 2FA authentication step) based on a level of trust determined between the computing device making the initial authentication request to a service computer system and the computing device being asked to implement the subsequent authentication step (such as a mobile device). The computing device associated with the subsequent authentication step assesses the trust between the devices and makes the determination of whether to permit or deny the subsequent authentication step. The present techniques enhance computer system security against phishing attacks while maintaining a satisfying user experience for legitimate users.

Users of an identity provider system may be authorized to use a variety of different types of factors from a variety of different factor providers. The identity provider system monitors and analyzes the “health” of the different possible factors available to a user, e.g., their availability relative to error rate. Using the results of the analysis, the identity provider can assess which factors are the most appropriate for a given user seeking authentication and can improve the user experience for the user by emphasizing those most appropriate factors to the user.