A system and method of securing a computing device with a remote computer security service includes: identifying a computing device that is subscribed to a remote computer security service, wherein the computing device comprises an anti-authentication application instance provided by the remote computer security service based on the subscription; identifying an occurrence of an anti-authentication action involving the computing device based on anti-authentication policy set to a subscriber anti-authentication account with the remote computer security service for the computing device; responsively to the anti-authentication action, automatically performing by the remote security service or the anti-authentication application instance one or more anti-authentication protective services by protectively altering the computing device based on the anti-authentication policy, wherein the computing device is altered to a protected state from a normal state based on the performance of the one or more anti-authentication protective services.

Methods and systems for identifying a network threat are disclosed. The methods described herein may involve receiving at least one permutation of a domain name, wherein the at least one permutation is registered with a domain name registrar. The methods described herein may further involve executing a scanning function to identify an active service on the at least one permutation registered with the domain name registrar and implementing a threat prevention procedure upon identifying an active service on the at least one permutation.

There is set forth herein obtaining data traffic monitoring data, the data traffic monitoring data being in dependence on monitoring of traffic received by a container of a protected computing environment; obtaining data traffic monitoring data, the data traffic monitoring data being in dependence on monitoring of traffic received by a processing resource of a computing environment; obtaining a state of the processing resource and provisioning a utility processing resource to include the state of the processing resource; and configuring the computing environment to route data traffic to the utility processing resource.

Disclosed herein are embodiments providing coordinated privacy for targeted communications and reporting. In particular, the embodiments provide a source user querying an information system to generally identify target users for a communication campaign. A privacy controller alters a first dataset of a query response by a first alteration quantity for transmission to the source user. The source user then generally identifies target users within the first dataset for development of a communication campaign of targeted communications directed to the target users. Subsequently, a reporting system generates a report with a second dataset detailing viewership by target users. The privacy controller alters a second dataset of a report by a second alteration quantity for transmission to the source user. The second alteration quantity is based on the first alteration quantity. Accordingly, for targeted communication campaigns, the privacy controller maintains individual privacy while also providing accurate reporting.

The present disclosure describes systems and method for performing a vulnerabilities assessment of an organization. A campaign controller executes one or more simulated phishing campaigns directed to a plurality of users of an organization, using a plurality of models determined by the campaign controller based at least on identification of the organization. The campaign controller stores to a database the results of execution of the one or more simulated phishing campaigns and based on the results, the campaign controller determines one or more vulnerabilities to phishing for the organization. In one embodiment, the campaign controller determines a percentage of the plurality of users of the organization that are phish-prone. In some embodiments, the users of the organization that are phish-prone interacted with a link of a simulated phishing communication.

A method and apparatus that provide a malicious domain emulator in a distributed cloud computing network are described. A malicious node emulator is executed as a third-party code in a compute server of the cloud computing platform to enable emulation of behavior of a malicious node. The malicious node emulator receives requests from one or multiple network devices addressed to the malicious domain and automatically emulates the behavior of the malicious domain to respond to these requests. The malicious node emulator logs information related to the requests and the network devices transmitting the requests.

A system, method, and computer program product are provided for dynamically configuring a virtual environment for identifying unwanted data. In use, a virtual environment located on a first device is dynamically configured based on at least one property of a second device. Further, unwanted data is identified, utilizing the virtual environment.

Disclosed herein are methods, systems, and processes for monitoring scan attempts in a network. A virtual security appliance with multiple ports is deployed in a network. One or more ports are obfuscated via the virtual security appliance to make the various ports appear to be closed. An address of the virtual security appliance within the network is modified, the several ports are adjusted to assume a predetermined profile, a network neighbor's profile is discovered and emulated, and a received connection attempt intended for the virtual security appliance is monitored.

Systems and methods for censoring text characters in text-based data are provided. In some embodiments, an artificial intelligence system may be configured to receive text-based data and store the text-based data in a database. The artificial intelligence system may be configured to receive a list of target pattern types identifying sensitive data and receive censorship rules for the target pattern types determining target pattern types requiring censorship. The artificial intelligence system may be configured to assemble a computer-based model related to a received target pattern type in the list of target pattern types. The artificial intelligence system may be configured to use a computer-based model to identify a target data pattern corresponding to the received target pattern type within the text-based data, identify target characters within the target data pattern, and to assign an identification token to the target characters.

Methods, systems, and devices for wireless communications are described. A communication device may detect vehicle-to-everything (V2X) fuzzing attacks. The communication device may receive a set of packets. Each packet of the set of packets includes a set of information element (IE) fields. The communication device determine a change to one or more IE fields of the set of IE fields and associated with at least a subset of packets of the set of packets based on comparing a respective value associated with each of the one or more IE fields to a respective default value associated with each of the one or more IE fields. As a result, the communication device may transmit a report indicating a plurality of fuzzing attacks at the communication device.