Abstract: An example method comprises receiving, by a secure content system, an email from a sender to a recipient, scanning the contents of the email, evaluating the contents of the email based on a plurality of security rules, storing the sensitive data within a secure storage, generating a replacement email including a security link and not including at least the sensitive data, the security link providing a requester access to the sensitive data providing that a security function is satisfied, sending the replacement email including the security link to the recipient, receiving a request to access the sensitive data, the request being related to the security function challenging the requester using the security function, receiving, from the requester, a response to the security function, determining if the security function is satisfied by the response, and if the security function is satisfied, providing access to the sensitive data to the requester.

Abstract: Apparatuses, methods, systems, and program products are disclosed for endpoint-based security. An apparatus includes a network module that is configured to receive, at an end user device, a request for content from a network source. An apparatus includes a policy module that is configured to compare a network source of requested content against a policy that is stored on an end user device prior to the content being allowed on the end user device. An apparatus includes an action module that is configured to segment network traffic associated with a request for content from a network source, based on a comparison of the network source against a policy, between at least one of directly accessing the content from the network source and indirectly accessing the content via a remote cloud device by rerouting the network traffic from an end user device to the remote cloud device.

Abstract: Techniques for detecting emails that pertain to Internet services are disclosed. Such emails can be recognized by heuristic pattern analysis that scans incoming emails for patterns known to pertain to certain Internet services. Emails relating to other Internet services can be detected by a machine learning classifier that uses labeled training data. These accesses to Internet services can be written to a data store. By employing these techniques across all emails of an entity, insight may be gained into the aggregate nature of Internet services being used. A policy engine may act on an individual email to request further information or action, quarantine the email, or to pass the email to other security tools. An aggregate account analysis engine can update the data store to provide a broad picture of Internet service usage within the organization (e.g., by department).

Abstract: Disclosed techniques include cybersecurity operations center load balancing. A cybersecurity security operations center (SOC) caseload history is accessed. Triage results from the SOC caseload history are analyzed on a computer platform to produce an analyst threat response profile. The analyst threat response profile is augmented with threat response resolution metrics. The threat response resolution metrics are updated with a subjective rating. The subjective rating is supplied by management, peers, or machine learning. Notification of a new cybersecurity threat is received across a cybersecurity network by the SOC. The new cybersecurity threat is assigned to a specific analyst, based on the augmented analyst threat response profile. The assigning is further based on weighting of threat severity, threat complexity, and analyst availability. An existing SOC caseload is reassigned to increase availability of the specific analyst.

Abstract: Techniques are provided for detecting a malicious script in a web page. Instrumentation code is provided for serving to a client computing device with a web page. The instrumentation code is configured to monitor web code execution at the client computing device when a script referenced by the web page is processed. Script activity data generated by the instrumentation code is received. The script activity data describes one or more script actions detected by the instrumentation code at the client computing device. Prior script activity data generated by a prior instance of the instrumentation code is obtained. A malicious change in the script is detected based on comparing the script activity data and the prior script activity data. In response to detecting the malicious change in the script, a threat response action is performed.

Abstract: Utterances of at least two speakers in a speech signal may be distinguished and the associated speaker identified by use of diarization together with automatic speech recognition of identifying words and phrases commonly in the speech signal. The diarization process clusters turns of the conversation while recognized special form phrases and entity names identify the speakers. A trained probabilistic model deduces which entity name(s) correspond to the clusters.

Abstract: Embodiments described herein provide for a voice biometrics system execute machine-learning architectures capable of passive, active, continuous, or static operations, or a combination thereof. Systems passively and/or continuously, in some cases in addition to actively and/or statically, enrolling speakers. The system may dynamically generate and update profiles corresponding to end-users who contact a call center. The system may determine a level of enrollment for the enrollee profiles that limits the types of functions that the user may access. The system may update the profiles as new contact events are received or based on certain temporal triggering conditions.

Abstract: This technology receive first telemetry data collected at the client when first instrumentation code provided to the client during a first interaction with a first server is executed at the client. The first telemetry data is stored in a telemetry data set comprising telemetry data for one or more interactions between a plurality of clients and a plurality of servers. Second telemetry data, collected at the client when the second instrumentation code provided to the client during a second interaction with a second server is executed at the client, is received. Based on the second telemetry data, determining when the telemetry data set includes stored telemetry data for an interaction between the client and the first server. A transfer of data associated with the client and the first server to the second interaction is facilitated when the determination indicates the telemetry data set includes the stored telemetry data.

Abstract: Systems and methods are disclosed that receive a search request with one or more data items to search against filters. Masked versions of the data items are generating using a first predetermined algorithm. The masked versions can be transmitted to another computing device to be secured. Query data can be generated by applying a second algorithm to the secured version of the data items. The query data can be transmitted to a storage system to query the filters to identify search results.

Abstract: A system and a method are disclosed for verifying a suspicious electronic communication. To this end, a secure communications service may detect an electronic communication comprising an identifier of a purported originator of the electronic communication and an identifier of an intended recipient, and determine that an attribute of the electronic communication corresponds to a suspicious attribute. Responsively, the service may intercept the electronic communication and storing the electronic communication in purgatory memory, so as to prevent the electronic communication from being populated in a private repository of the intended recipient, transmit a verification message, and receive a reply to the verification message that verifies the authenticity of the electronic communication.

Abstract: Bandwidth throttling in a browser isolation environment is disclosed. A request is received from a client browser executing on a client device to connect to a website. The browser isolation system provides a surrogate browser to facilitate communications between the client browser and the remote resource. A throttle is applied to a portion of content delivered to the client browser in response to the received request.

Abstract: Apparatuses, methods, systems, and program products are disclosed for endpoint-based security. An apparatus includes a network module that is configured to receive, at an end user device, a request for content from a network source. An apparatus includes a policy module that is configured to compare a network source of requested content against a policy that is stored on an end user device prior to the content being allowed on the end user device. An apparatus includes an action module that is configured to perform at least one action related to requested content based on the comparison between the network source of the requested content and the policy. An apparatus includes a content module configured to, in response to receiving content, perform a security analysis of the received content on an end user device.

Abstract: Apparatuses, methods, systems, and program products are disclosed for endpoint-based security. An apparatus includes a network module that is configured to receive, at an end user device, a request for content from a network source. An apparatus includes a policy module that is configured to compare a network source of requested content against a policy that is stored on an end user device prior to the content being allowed on the end user device. An apparatus includes an action module that is configured to replay at least one header of the request for content at a remote device where the requested content is further analyzed based on the comparison between the network source of the requested content and the policy.

Abstract: Aspects of the subject technology relate to determining a defense surface change command to be applied to a defense surface. An organizational threat profile is stored and a baseline exposure score for threats is generated. The baseline exposure score is weighted based on at least the organizational threat profile to generate a prioritized exposure score. A defense surface change command is generated based on at least the prioritized exposure score, which is transmitted to hardware or software components, and an updated prioritized exposure score for the one or more hardware or software components is generated.

Abstract: Disclosed is a system for customizing protections provided to different application programming interfaces (“APIs”) and different functions of an API based on different API context and user context associated with the different APIs and the different functions of each API. The system receives a particular API, determines API context for proper usage of one or more functions of the particular API, and determines user context associated with endpoints properly accessing the one or more functions. The system generates a model for differentiating between proper and improper use of the one or more functions based on contextual relationships between different combinations of the API context and the user context. The system monitors usage of the one or more functions based on the model, and performs an action that is associated with the model in response to the usage violating the contextual relationships for the one or more functions.

Abstract: A system for generating channel-compensated features of a speech signal includes a channel noise simulator that degrades the speech signal, a feed forward convolutional neural network (CNN) that generates channel-compensated features of the degraded speech signal, and a loss function that computes a difference between the channel-compensated features and handcrafted features for the same raw speech signal. Each loss result may be used to update connection weights of the CNN until a predetermined threshold loss is satisfied, and the CNN may be used as a front-end for a deep neural network (DNN) for speaker recognition/verification. The DNN may include convolutional layers, a bottleneck features layer, multiple fully-connected layers, and an output layer. The bottleneck features may be used to update connection weights of the convolutional layers, and dropout may be applied to the convolutional layers.

Abstract: A computer may segment a noisy audio signal into audio frames and execute a deep neural network (DNN) to estimate an instantaneous function of clean speech spectrum and noisy audio spectrum in the audio frame. This instantaneous function may correspond to a ratio of an a-priori signal to noise ratio (SNR) and an a-posteriori SNR of the audio frame. The computer may add estimated instantaneous function to the original noisy audio frame to output an enhanced speech audio frame.

Abstract: A method of obtaining and automatically providing secure authentication information includes registering a client device over a data line, storing information and a changeable value for authentication in subsequent telephone-only transactions. In the subsequent transactions, a telephone call placed from the client device to an interactive voice response server is intercepted and modified to include dialing of a delay and at least a passcode, the passcode being based on the unique information and the changeable value, where the changeable value is updated for every call session. The interactive voice response server forwards the passcode and a client device identifier to an authentication function, which compares the received passcode to plural passcodes generated based on information and iterations of a value stored in correspondence with the client device identifier. Authentication is confirmed when a generated passcode matches the passcode from the client device.

Abstract: Embodiments described herein provide for evaluating call metadata and certificates of inbound calls for authentication. The computer identifies a service provider indicated by the SPID and/or the ANI (or other identifier) of the metadata and identifies a service provider indicated by the SPID and/or ANI (or other identifier) of the certificate, then compares identities of the service providers and/or compares the data values associated with the service providers (e.g., SPIDs, ANIs). Based on this comparison, the computer determines whether the service provider that signed the certificate is first-party signer (e.g., carrier) for the ANI or a third-party signer that is signing certificates as the first-party signer for the ANI.

Abstract: Systems and methods for call detail record (CDR) analysis to determine a risk score for a call and identify fraudulent activity and for fraud detection in Interactive Voice Response (IVR) systems. An example method may store information extracted from received calls. Queries of the stored information may be performed to select data using keys, wherein each key relates to one of the received calls, and wherein the queries are parallelized. The selected data may be transformed into feature vectors, wherein each feature vector relates to one of the received calls and includes a velocity feature and at least one of a behavior feature or a reputation feature. A risk score for the call may be generated during the call based on the feature vectors.