Get Code Download If you have a set of data items, the goal of anomaly detection is to find items that are different in some way from most of the items. Anomaly detection is sometimes called outlier ...

Get Code Download Data anomaly detection is the process of examining a set of source data to find data items that are different in some way from the majority of the source items. There are many ...

Varonis pioneered real-time data detection and response (DDR) in 2013, added advanced user and entity behavior analysis (UEBA) in 2016, and formed its incident response (IR) organization in 2018.

We are developing a suite of tools to automate ML mismatch detection and demonstrate how to extend descriptors to support testing of ML-enabled systems.

Komprise also now supports proactive management with features like pre-processing for AI ingest to prevent data leaks and ongoing workflows for continuous detection and tagging.

Open Raven, a leader in automating data security at cloud scale, announced Data Detection and Response (DDR) capabilities, support for Amazon Redshift ...

Concentric AI secures data-centric work using AI to protect business-critical information hidden in the numerous applications, data stores and databases used by today’s distributed workforce.

One significant development has been the integration of data reconciliation with artificial neural network modelling, which has demonstrated marked improvements in the accuracy and robustness of ...

More broadly, customer data is the most common type of sensitive data taken (accounting for 44.6% of incidents) followed by source code (13.8%).