Emc IP Holding Company LLC

Dell Products Inc.

Farida Shafik

Nicole Reineke

Shary Beshara

Joel Evans Christner

Hanna Yehuda

Amy N Seibel

Eric Joseph Bruno

Seth Jacob Rothschild

Michael Estrin

Omar Abdul Aal

Ahmad Refaat Abdel Fadeel Ahmad El Rouby

Megan Hyland

Omar Abdulaal

One example method includes determining representation bias in a data set. A bias detection engine is trained using a data set that is sufficiently diversified and/or unbiased. Once trained, test data sets can be evaluated by the bias detection engine to determine an amount of representation bias in the test data sets. The representation bias can be visually conveyed to a user and suggestions on how to reduce the representation bias may be provided and/or implemented to reduce the representation bias in the test data set. Suggestions can be implemented by adding or removing data from the test data that will reduce the representation bias.

Detecting representative bias within image data sets

One example method includes receiving a request from a user to access data stored in a filesystem, in response to the request, retrieving metadata of the data and metadata of the user, validating the metadata of the data and the metadata of the user against a data access rule, and granting the user access to the data upon successful validation of the metadata of the data and the metadata of the user.

Classifying data and enforcing data access control using a context-based hierarchical policy

One example method includes detecting a file access process, such as a write operation performed by a ransomware process, directed to a file, based on the detecting, incrementing a counter, checking to determine if the counter exceeds a defined threshold, and when the counter exceeds the defined threshold, creating a backup of the file. The backup file may be a read-only file, and may expire, and be deleted, at a particular time, or after the passage of a period of time.

Just-in-time filesystem-based ransomware backup

One example method includes monitoring a data access pattern, registering a data access request directed to data, comparing metadata associated with the data access request to a rule, based on a result of the comparing, sending a trigger to a graph service, and using information in the trigger to generate a visual representation of the data access request, wherein the visual representation indicates an extent to which the data access request is considered to constitute a potential threat to the data.

Malicious data access as highlighted graph visualization

One example method includes integrating user space applications with kernel space events including primitives. The events are intercepted in kernel space and processed in user space. The events can be stored in a session cache that allows a holistic view of behavior to be determined with regard to resources of the computing system. The events in the session cache can be correlated to user or process behavior by provided a time-based view of the events.

System and method for correlating filesystem events into meaningful behaviors

One example method includes extracting an expected communication specification of a service that is in development in a build pipeline, stimulating the service to exercise communication variations of the service, capturing communication traffic involving the service and one or more endpoints, comparing the captured communication traffic to the expected communication specification, and based on the comparing, detecting, in the captured communication traffic, and flagging, any anomalous communication behavior of the service.

Early validation of communication behavior

One example method includes data orchestration. Data sets are available to users in an online marketplace. Based on requests for data sets, other data sets may be recommended. The recommended data sets are moved or copied to recommended locations. This ensures that the data sets are available to the user more quickly if subsequently requested.

Predictive orchestration of data sets within marketplace

One example method includes extracting content metadata from data, storing the content metadata in a data catalogue, receiving at the data catalogue, from a user, a request to access the data, transmitting, by the data catalogue to a security service provider, an access request that includes the extracted content metadata and metadata relating to the access request, accessing, by the security service provider, identity metadata concerning an identity of the user, and a data access policy, and transmitting, by the security service provider to the data catalogue, a decision as to whether or not access can be granted to the data, and the decision is based on the data access policy, the identity metadata, and the metadata in the access request.

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Cairo, Egypt

Farida Shafik