Described embodiments provide systems and method for intelligent path selection to reduce latency and maintain security. A client can request access to a server and multiple connections can be initiated to the requested destination, for example, a direct connection from a branch office and a backhauled connection through a data center. Traffic via the second connection can be controllable by application of at least one rule of the data center. A device can determine a delay in the exchange of data via the connections and a security level of the connections. The determination of the delay in the exchange of data via the another connection can be based on in part feedback about the application of the rule. The device can connect a client device to a server through one of the connections using the determination of the delay and the security level of the connection.

A server interacts with a bot detection service to provide bot detection as a requesting client interacts with the server. In an asynchronous mode, the server injects into a page a data collection script configured to record interactions at the requesting client, to collect sensor data about the interactions, and to send the collected sensor data to the server. After the client receives the page, the sensor data is collected and forwarded to the server through a series of posts. The server forwards the posts to the detection service. During this data collection, the server also may receive a request from the client for a protected endpoint. When this occurs, and in a synchronous mode, the server issues a query to the detection service to obtain a threat score based in part on the collected sensor data that has been received and forwarded by the server. Based on the threat score returned, the server then determines whether the request for the endpoint should be forwarded onward for handling.

This specification generally relates to methods and systems for applying network policies to devices based on their current access network. One example method includes identifying a proxy connection request sent from a particular client device to a proxy server over a network, the proxy connection request including a hostname and configured to direct the proxy server to establish communication with the computer identified by the hostname on behalf of the client device; determining an identity of the client device based on the proxy connection request; identifying a domain name system (DNS) response to a DNS request including the hostname from the proxy connection request; and updating DNS usage information for the particular client based on the identified DNS response including the hostname from the proxy connection request.

Methods, systems, and media for testing insider threat detection systems are provided. In some embodiments, the method comprises: receiving, using a hardware processor, a first plurality of actions in a computing environment that are associated with one of a plurality of user accounts; generating a plurality of models of user behavior based at least in part on the first plurality of actions, wherein each of the plurality of models of user behavior is associated with each of the plurality of user accounts; selecting a model of user behavior from the plurality of models of user behavior, wherein the model of user behavior is associated with a malicious user type; generating a simulated user bot based on the selected model of user behavior; executing the simulated user bot in the computing environment, wherein the simulated user bot injects a second plurality of actions in the computing environment; determining whether an insider threat detection system executing within the computing environment identifies the simulated user bot as a malicious user; and transmitting a notification indicating an efficacy of the insider threat detection system based on the determination.

A system and method for bot detection utilizing storage variables are presented. The storage variables generated is used to analyze user behavior and distinguish human traffic from bot traffic. The system for detecting bot traffic using storage variables includes a client application, a computer network, a bot detector, a bot computer, a storage variable generator, and a server. The client device enables a user to access information through the client application. The storage variable generator is configured to generates a plurality of storage variables including counter storage variable. The bot detector analyses the presence of bots in incoming traffic.

Systems and methods are disclosed for identifying human users on a network. One method includes receiving network data comprising data transmitted over a network over predetermined time period, the network data comprising a plurality of usernames and a plurality of events, wherein each of the plurality of events is associated with at least one of the plurality of usernames; determining a plurality of pairs, each pair of the plurality of pairs comprising a username of the plurality of usernames and an associated event of the plurality of events; determining qualifying pairs of the plurality of pairs, the qualifying pairs corresponding to a subset of the plurality of pairs that meet or exceed one or more predetermined event frequency thresholds; determining non-qualifying pairs of the plurality of pairs, the non-qualifying pairs corresponding to the subset of the plurality of pairs that do not meet or exceed one or more predetermined event frequency thresholds; generating at least one distribution associated with the qualifying pairs and non-qualifying pairs; and based on the at least one distribution, determining if at least one username of the plurality of usernames is associated with a human user or a non-human user.

A method and system for controlling access to a protected entity. The method includes receiving a redirected client request to access the protected entity that the protected entity denied; granting, in response to the received redirected request, access tokens of a first type to a client; identifying a conversion transaction identifying a request to convert the first type of access tokens with access tokens of a second type, the transaction designating the protected entity; determining a conversion value for converting first-type access tokens into second-type of access tokens, the conversion value being based on at least one access parameter; converting, using the conversion value, a first sum of the first-type access tokens into a second sum of second-type access tokens; and granting the client access to the protected entity when the sum of second-type of access tokens is received as a payment from the protected entity.

The present concepts relate to identifying entities based on their behavior using machine learning models. Where an entity may be a bot or a human, the entity's requests sent to a website are used to generate a graph. The graph may be used to create an image, such that the image reflects the entity's browsing behavior. A machine learning model, which has been trained using a first training set of images that correspond to bots and a second training set of images that correspond to humans, can determine whether the entity is a bot or a human by performing an image classification.

There is disclosed in one example a computing apparatus, including: a hardware platform including at least a processor and a memory; and a security agent including instructions encoded in the memory to instruct the processor to: monitor a user's operation of the computing apparatus over time, including determining whether a selected behavior is a security risk; provide a risk analysis of the user's operation based at least in part on the monitoring; select a scan sensitivity based at least in part on the risk analysis; and scan, with the selected sensitivity, one or more objects on the computing apparatus to determine if the one or more objects are a threat.

Systems and methods for monitoring malicious software engaging in online advertising fraud or other form of deceit are disclosed herein. An example method includes identifying a communication process used by a compromised computing device to communicate with a control server, the control server providing access to advertising weblinks, the compromised computing device associated with malicious software, directing, by an instruction executed by a processor, the compromised computing device to communicate with an uncompromised computing device by re-routing of packets used for communication between the compromised computing device and the control server, the uncompromised computing device is configured to mimic communications between the compromised computing device and the control server using the communication processes, storing information from one or more packets transmitted from the uncompromised computing device, and creating a profile of the malicious software based on the stored information.