In general, in an aspect, a method for providing an outbound gateway protection includes provisioning one or more worker gateways located in a first gateway virtual private cloud, the one or more worker gateways sharing configuration data with the controller gateway, provisioning one or more load balancer gateways in one or more client virtual clouds, the one or more client virtual clouds each comprising one or more clients, the one or more load balancer gateways distributing client requests among the worker gateways, assigning groups of the one or more clients to one of the one or more load balancer gateways based on requests from a majority of the worker gateways, and communicating outbound network traffic from the clients via the assigned load balancer gateways.

Systems and methods for identifying and remediating malware-compromised mobile devices are disclosed. A computer-implemented method includes accessing, by a computing device, malware risk data; determining, by the computing device, a mobile device is at risk from malware based on the malware risk data; identifying, by the computing device, a set of connections of a user of the mobile device, wherein each connection in the set of connections is associated with a user computer device; identifying, by the computing device, at least one user computer device from the set of connections at risk from the malware; and outputting, by the computer device, a malware notification for the mobile device at risk and at least one user computer device at risk.

Examples relate to computer attack model management. In one example, a computing device may: identify a first set of attack models, each attack model in the first set specifying behavior of a particular attack on a computing system; obtain, for each attack model in the first set, performance data that indicates at least one measure of attack model performance for a previous use of the attack model in determining whether the particular attack occurred on the computing system; and update the first set of attack models based on the performance data.

According to one embodiment, a computerized method operates by configuring a virtual machine operating within an electronic device with a first instrumentation for processing of a suspicious object. In response to detecting a type of event during processing of the suspicious object within the virtual machine, the virtual machine is automatically reconfigured with a second instrumentation that is different from the first instrumentation in efforts to achieve reduced configuration time and/or increased effectiveness in exploit detection.

Methods and systems for improving accuracy, speed, and efficiency of context-aware pattern matching are provided. According to one embodiment, a packet stream is received by a first stage of a hardware accelerator of a network device. A pre-matching process is performed by the first stage to identify a candidate packet that matches a string or over-flow pattern associated with access control (e.g., IPS or ADC) rules. A candidate rule is identified based on a correlation of results of the pre-matching process. The candidate packet is tokened to produce matching tokens and corresponding locations. A full-match process is performed on the candidate packet by a second stage of the hardware accelerator to determine whether it satisfies the candidate rule by performing one or more of (i) context-aware pattern matching, (ii) context-aware string matching and (iii) regular expression matching based on contextual information, the matching tokens and the corresponding locations.

Disclosed herein are systems and methods for parallel malware scanning in a cloud environment. In one exemplary aspect, a method may comprise identifying a plurality of agents connected to a server, wherein each agent is configured to synchronize data between a different computing device and the server. The method may comprise receiving, from a first agent of the plurality of agents, a request to scan the synchronized data for malware. In response to determining, from the plurality of agents, at least one other agent that comprises the synchronized data, the method may comprise partitioning the synchronized data into a plurality of portions. The method may comprise assigning a first portion for scanning to the first agent and at least one other portion for scanning to the at least one other agent, and aggregating scan results from the first agent and the at least one other agent.

There is disclosed in one example a gateway apparatus, including: a hardware platform including a processor and a memory; and instructions stored within the memory to instruct the processor to: provide a domain name system (DNS) server, the DNS server to provide an encrypted DNS service, and to cache resolved domain names; receive an outgoing network packet; determine a destination address of the outgoing network packet; and upon determining that the destination address was not cached, apply a security policy.

Among other things, embodiments of the present disclosure help provide entities with the ability to remotely detect behavior associated with malware and identify compromised user-sessions, regardless of the malware variant or family, and independently of the page structure.

Disclosed herein are systems and methods for classifying organizational structure for implementing data protection policies. In one exemplary aspect, a method may comprise retrieving a plurality of data files of an organization, wherein the plurality of data files are stored in a data storage; retrieving structural information of the organization, the structural information comprising details of user accounts, organizational roles, and file metadata within the organization; classifying the structural information into an organization type of a plurality of organization types; classifying each respective data file of the plurality of data files into a respective topic of a plurality of topics, wherein the plurality of topics are associated with the organization type; generating a data protection policy for the organization based on each respective topic of the plurality of data files and the organization type; and executing the data protection policy on the data storage.

A device processes a communication between a source and user equipment. The user equipment is one of a plurality of user equipment connected to a network and the user equipment is associated with an entity. The device determines that the communication is associated with an anomalous traffic pattern. The device implements a provisional blocking of traffic between the source and the plurality of user equipment connected to the network and generates a filtering rule based on determining the anomalous traffic pattern, where the filtering rule prescribes that traffic between the source and the second user equipment is to be blocked. The device transmits a notification to the entity associated with the user equipment that requests that the entity affirm the filtering rule, and the device blocks traffic between the source and the user equipment based on the entity affirming the filtering rule.