Abstract: Techniques for data loss prevention in an image-specific domain using image data identifiers and validators are described. According to some embodiments, a method may include defining an image data identifier and a data identifier validator, the image data identifier specifying one or more prohibited object types, and the data identifier validator specifying one or more prohibited object sub-types. The method may include receiving an image, identifying one or more objects in the image based on attributes of the one or more objects, determining an object type of a first object of the one or more objects, and determining whether the object type of the first object matches at least one of the one or more prohibited object types.

Abstract: Structured text and pattern matching may be performed for data loss prevention in object-specific image domain. According to some embodiments, a method may include receiving an image, identifying one or more objects in the image based on attributes of the one or more objects, and determining an object type of a first object of the one or more objects by a computing device. The method may include identifying, by the computing device, one or more specific regions of the first object for recognition based on the object type of the first object and recognizing text in the one or more specific regions of the first object. In some embodiments, the method may then include providing, by the computing device, the text recognized in the one or more specific regions of the first object to a security engine, wherein the security engine may be configured to evaluate whether the text comprises sensitive information.

Abstract: Structured text and pattern matching may be performed for data loss prevention in object-specific image domain. According to some embodiments, a method may include receiving an image, identifying one or more objects in the image based on attributes of the one or more objects, and determining an object type of a first object of the one or more objects by a computing device. The method may include identifying, by the computing device, one or more specific regions of the first object for recognition based on the object type of the first object and recognizing text in the one or more specific regions of the first object. In some embodiments, the method may then include providing, by the computing device, the text recognized in the one or more specific regions of the first object to a security engine, wherein the security engine may be configured to evaluate whether the text comprises sensitive information.

Abstract: The present disclosure relates to using signatures in a data loss prevention system. According to one embodiment, a DLP system identifies an occurrence of a data loss prevention (DLP) incident triggered by content and a DLP rule. The DLP system generates a first signature representing the DLP incident based on a specific pattern inherent to the content which triggered the DLP incident. The DLP system compares the first signature to one or more second signatures generated from other DLP incidents associated with the DLP rule. Upon determining the first signature matches at least one of the second signatures, the DLP system assigns an event status of the second matching signature to the first signature.

Abstract: A computer-implemented method for enabling biometric authentication options may include (1) identifying a device that includes a biometric authentication option that provides access to a protected feature of the device and that is based on a biometric trait and an initial authentication option that provides access to the protected feature and that is not based on the biometric trait, (2) detecting an authentication action that is performed by a user on the device that provides access to the protected feature via the initial authentication option, (3) capturing biometric data describing the biometric trait of the user in connection with the user performing the authentication action on the device, and (4) using the biometric data as training data for the biometric authentication option to enable the user to access the protected feature of the device via the biometric authentication option. Various other methods, systems, and computer-readable media are also disclosed.

Abstract: A method and system for low-memory footprint fingerprinting and indexing for efficiently measuring document similarity and containment are described. A method may include extracting, by a processor, content from a set of one or more data files. The method may also determine a size of the content and apply a hash function to the content to generate multiple hashes. The method selects a constrained set of the hashes to generate a fixed-size fingerprint representative of the content when the size of the content is greater than a threshold size. The method stores the fixed-size fingerprint representative of the content in an endpoint index for at least partial file content matching by an endpoint device. The method may employ a statistical-based optimization to speed-up query time.

Abstract: The disclosed computer-implemented method for detecting attempts to transmit sensitive information via data-distribution channels may include (1) identifying an attempt to transmit a file through a data-distribution channel, (2) comparing, using an image-matching technique, the file with at least one known sensitive file that is both stored in an image format and protected by a data-loss-prevention policy, (3) determining, based on the results of the image-matching technique, that the file violates the data-loss-prevention policy, and (4) performing a security action in response to determining that the file violates the data-loss-prevention policy. Various other methods, systems, and computer-readable media are also disclosed.

Abstract: The disclosed computer-implemented method for detecting attempts to transmit sensitive information via data-distribution channels may include (1) identifying an attempt to transmit a file through a data-distribution channel, (2) comparing, using an image-matching technique, the file with at least one known sensitive file that is both stored in an image format and protected by a data-loss-prevention policy, (3) determining, based on the results of the image-matching technique, that the file violates the data-loss-prevention policy, and (4) performing a security action in response to determining that the file violates the data-loss-prevention policy. Various other methods, systems, and computer-readable media are also disclosed.