An authentication process that provides secure and verified access to content, such as content presented on websites. At a first instance, users may be validated using a first token, at a second instance, users may be validated or authorized using the first token and an email address, and at a third instance, users may be validated or authorized using the first token, the email address, and the second token. Therein users are authenticated and provided access to the websites. During the authentication process and the during separate instances (or times), if the multiple token(s) are invalid and/or the email address is associated with an unauthorized user, access to the website may be denied.

A method, system, and digital recording medium provides for convenient and trustworthy user authentication with a computing device combining four authentication factors through use of a remote authentication system (RAS). An identity token (Device-ID) cryptographically bound to the user's computing device is generated as a first authentication factor. A password known only to the user is a second factor. Cryptographic signatures generated from the user's biometric minutiae is a third factor. A random challenge received from the RAS is a fourth factor. An encryption key-generation key is created cryptographically using the Device-ID and stored locally, which together with the user's cryptographic signatures are encrypted with a one-time-pad encryption key obtained from the RAS on a communication channel different from that used for other communication between the device and the RAS to provide perfect secrecy, then transmitted from the device to the RAS on a connection therebetween to register said shared-secrets.

Remediation of detected configuration violations is disclosed, including: detecting a violation associated with a configuration at a data source server; providing a remediation corresponding to the violation; and storing an audit log that includes one or more events associated with the remediation corresponding to the violation.

A system for authenticating a user at a relying party application using an authentication application and automatically redirecting to a target application includes a processor. The processor is configured to 1) make an API call that comprises (i) an authentication challenge that corresponds to an authentication request and (ii) a call back URL that is specified by a relying party application; 2) retrieve at least one of a target application link or a null value from a table; 3) authenticating the user based on an authentication challenge response to the at least one authentication challenge; and 4) invoking the target application link from the table to automatically redirect from the authentication application to the target application specified in the target application link.

The disclosed computer-implemented method for protecting a cloud computing device from malware may include (i) intercepting, at a computing device, a malicious attempt by the malware to (A) access sensitive information in an encrypted file stored on the computing device and (B) send the sensitive information to the cloud computing device and (ii) performing, responsive to the attempt to access the encrypted file, a security action. Various other methods, systems, and computer-readable media are also disclosed.

A keyboard detection system, that includes a processor that operates to detect at least one anomaly in input data and determine a correlation between the at least one anomaly and a characteristic of an inconsistent keyboard type. The processor may operate to determine the correlation between the at least one anomaly and the characteristic of the inconsistent keyboard type based on a lookup table or algorithm.

Embodiments of systems and methods are provided to enhance network security by providing secure, multi-path user authentication, while also providing a more convenient login experience to the user. In the present disclosure, a cloud-based user authentication and threat detection system is provided with an artificial intelligence (AI) engine and a training dataset. Utilizing a cloud-based system enables the AI engine to collect data from multiple devices located within different physical locations or environments (such as, for example, the user's home and office). The collected data is stored within the training dataset and used to create a personalized user profile for each user. Each time a user initiates login to a system or network from a particular location, the AI engine collects data from multiple devices within that location and utilizes the user profile data previously stored within the training dataset to securely authenticate the user or detect potential security threats.

An access analysis system obtains data about user requests to access particular applications, such as identifiers of the particular user and application involved, the time of the request, and (optionally) additional contextual data, and uses that data to generate user access distributions that quantify the distribution of a given user's requests to access applications over time. After one or more distributions have been generated for a particular user, when that user submits a new access request for an application, the access analysis system can compare the request to the previously-generated access distributions to determine whether (or to what degree) the request is anomalous. If the request is sufficiently non-anomalous, it can be granted with little or no additional actions required by the user or the user's device; if, however, the request is sufficiently anomalous, it can be denied, or additional information—such as additional user authentication factors—can be required.

An identity provider (“IdP”) system maintains a framework of authentication methods and security targets that enables flexible authentication policy authoring and analysis of authentication performed by users of an organization. The IdP system generates authentication method profiles that include authentication factors and attributes, which may be further classified as required or optional. The IdP system also generates security target profiles that indicate security requirements needed to satisfy the corresponding security targets. The IdP system uses the generated profiles to determine relationships between authentication methods and security targets (e.g., a list of authentication methods that satisfy a given security target). Using these relationships, the IdP system may enable users to author policies and analyze how users' authentication behaviors comply with security targets.

Techniques for securing data in a storage device are disclosed. The storage device includes one or more authentication components including one or more of a biometric reader, a positioning system, and a wireless receiver. The storage device further includes a security subsystem configured to secure data using multiple authentication factors obtained using the one or more authentication components.