Abstract: A system and method of detecting and remediating attacks includes receiving operating system (OS) read/write data from an OS, the OS read/write data describing at least one of reads from and writes to a storage device over a file system interface of the OS; collecting storage device read/write data, the storage device read/write data describing at least one of reads from and writes to the storage device; comparing the OS read/write data to the storage device read/write data; and determining if there is a discrepancy between the OS read/write data and the storage device read/write data. If there is a discrepancy, determining if there is an anomaly detected between OS read/write data and the storage device read/write data. If there is an anomaly, causing a remediation action to be taken to stop a malware attack.

Abstract: In one example an apparatus comprises a memory and a processor to receive, in an edge node of a secure network, a first file, determine that the first file is addressed to a recipient outside the secure network, and in response to a determination that the first file is addressed to a destination outside the secure network, to generate a watermark that identifies a transmitter of the document, a recipient of the document, and comprises a digital signature of the first file, embed the watermark in the first file to generate a watermarked file, and pass the watermarked file to an input/output system for transmission out of the secure network. Other examples may be described.

Abstract: In one example an apparatus comprises a memory and a processor to receive, in an edge node of a secure network, a first file, determine that the first file is addressed to a recipient outside the secure network, and in response to a determination that the first file is addressed to a destination outside the secure network, to generate a watermark that identifies a transmitter of the document, a recipient of the document, and comprises a digital signature of the first file, embed the watermark in the first file to generate a watermarked file, and pass the watermarked file to an input/output system for transmission out of the secure network. Other examples may be described.

Abstract: Techniques and apparatuses to harden AI systems against various attacks are provided. Among the different techniques and apparatuses, is provided, techniques and apparatuses that expand the domain for an inference model to include both visible classes and well as hidden classes. The hidden classes can be used to detect possible probing attacks against the model.

Abstract: A system and method of detecting and remediating attacks includes receiving operating system (OS) read/write data from an OS, the OS read/write data describing at least one of reads from and writes to a storage device over a file system interface of the OS; collecting storage device read/write data, the storage device read/write data describing at least one of reads from and writes to the storage device; comparing the OS read/write data to the storage device read/write data; and determining if there is a discrepancy between the OS read/write data and the storage device read/write data. If there is a discrepancy, determining if there is an anomaly detected between OS read/write data and the storage device read/write data. If there is an anomaly, causing a remediation action to be taken to stop a malware attack.

Abstract: A text-only transcription of spoken input from one or more speakers is enhanced with context information that indicate the speakers' states, including physical, emotional, and mental conditions. Context information includes information sensed or otherwise gathered from the speakers' surroundings. The contextual information in the resulting enhanced transcription can facilitate a more accurate understanding of the speakers' intended meaning, and thus avoid misunderstandings that can be detrimental to the relationship between speaker and listener and avoid time consuming activity to rectify misunderstandings.

Abstract: Provided herein system and method for analyzing time oriented data in a plurality of records, by defining a knowledge base in a domain and linking it to a database of a plurality of records, each storing at least one instance of time oriented data based on at least one concept defined in the knowledge base; and specifying at least one constraint on the subject records; and retrieving subject records which satisfy at least one constraint and graphically displaying at least one instance of time oriented data stored in the retrieved subject records; and exploring at least one association between the instance of time oriented data stored in the retrieved records.