The present disclosure describes systems and methods for using a template for a simulated phishing campaign, A database includes a plurality of templates for simulated phishing campaigns, each template of the plurality of templates identifying a list of a plurality of types of simulated phishing communications and at least a portion of content for the simulated phishing communications. A campaign controller selects a template from the plurality of templates for a simulated phishing campaign directed to a user of a plurality of users; and communicates, to one or more devices of the user a first type of simulated phishing communication of the plurality of types of simulated phishing communications with at least the portion of content identified by the template.

A method of managing a local area communication network comprising at least one access equipment for accessing the network is disclosed. At least one communicating object is connected to the network. In one aspect, the method comprises upon detecting connection of a new communicating object to the network and/or upon detecting installation of new firmware on the at least one communicating object connected to the network, a learning phase involving observing interactions of the communicating object with at least one other equipment of the local area network and/or at least one equipment of a wide area communication network accessible via the access equipment. In addition, at least one security rule associated with the communicating object on the basis of the observed interactions is disclosed.

Secure device data records (DDRs) are provided. In some embodiments, a system for secure DDRs includes a processor of a wireless communication device for wireless communication with a wireless network, in which the processor is configured with a secure execution environment, and in which the secure execution environment is configured to: monitor service usage of the wireless communication device with the wireless network; and generate a plurality of device data records of the monitored service usage of the wireless communication device with the wireless network, in which each device data record is associated with a unique sequence order identifier; and a memory coupled to the processor and configured to provide the processor with instructions. In some embodiments, the secure execution environment is located in an application processor, in a modem processor, and/or in a subscriber identity module (SIM).

Secure device data records (DDRs) are provided. In some embodiments, a system for secure DDRs includes a processor of a wireless communication device for wireless communication with a wireless network, in which the processor is configured with a secure execution environment, and in which the secure execution environment is configured to: monitor service usage of the wireless communication device with the wireless network; and generate a plurality of device data records of the monitored service usage of the wireless communication device with the wireless network, in which each device data record is associated with a unique sequence order identifier; and a memory coupled to the processor and configured to provide the processor with instructions. In some embodiments, the secure execution environment is located in an application processor, in a modem processor, and/or in a subscriber identity module (SIM).

Systems and methods for monitoring a network slice are provided. A method, according to one implementation, include extracting information from network traffic received from one or more User Plane Function (UPF) components of a network slice; examining the extracted information using Machine Learning (ML), and, in response to detecting of one or more malicious threats based on the examined extracted information by the ML, causing one or more actions to isolate the network traffic to protect at least the network slice from the one or more malicious threats.

Systems and methods for monitoring a network slice are provided. A method, according to one implementation, include extracting information from network traffic received from one or more User Plane Function (UPF) components of a network slice; examining the extracted information using Machine Learning (ML), and, in response to detecting of one or more malicious threats based on the examined extracted information by the ML, causing one or more actions to isolate the network traffic to protect at least the network slice from the one or more malicious threats.

Techniques for searching an inverted index associating byte sequences of a fixed length and files that contain those byte sequences are described herein. Byte sequences comprising a search query are determined and searched in the inverted index, and an intersection of the results is determined and returned as a response to the search query. Further, search queries in the form of expressions including search terms and logical operators are searched in the inverted index and evaluated using a syntax tree constructed based on the logical operators. Also, byte sequences comprising a file are searched in the inverted index and results of the search are used to generate signatures and fuzzy hashes.

Techniques for searching an inverted index associating byte sequences of a fixed length and files that contain those byte sequences are described herein. Byte sequences comprising a search query are determined and searched in the inverted index, and an intersection of the results is determined and returned as a response to the search query. Further, search queries in the form of expressions including search terms and logical operators are searched in the inverted index and evaluated using a syntax tree constructed based on the logical operators. Also, byte sequences comprising a file are searched in the inverted index and results of the search are used to generate signatures and fuzzy hashes.

A small piece of hardware connects to a mobile device and filters out attacks and malicious code. Using the piece of hardware, a mobile device can be protected by greater security and possibly by the same level of security offered by its associated corporation/enterprise. In one embodiment, a mobile security system includes a connection mechanism for connecting to a data port of a mobile device and for communicating with the mobile device; a network connection module for acting as a gateway to a network; a security policy for determining whether to forward content intended for the mobile device to the mobile device; and a security engine for executing the security policy.

A small piece of hardware connects to a mobile device and filters out attacks and malicious code. Using the piece of hardware, a mobile device can be protected by greater security and possibly by the same level of security offered by its associated corporation/enterprise. In one embodiment, a mobile security system includes a connection mechanism for connecting to a data port of a mobile device and for communicating with the mobile device; a network connection module for acting as a gateway to a network; a security policy for determining whether to forward content intended for the mobile device to the mobile device; and a security engine for executing the security policy.